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AI: Concurrency-limited models can keep their slot when a streamed request ends early","description":"\u003e This issue was posted by Codex Desktop using gpt-6.1-sol on behalf of David.\n\n### Summary\n\nApplications that wrap a model with `ConcurrencyLimitedModel` or `limit_model_concurrency` can permanently lose shared concurrency capacity when a streamed request releases its slot from a different task than the one that acquired it. This can happen when a stream ends early, and also when a stream is fully consumed using the default `stream_text()` debouncing.\n\nIn an application that exposes an affected streaming endpoint to network clients and shares a long-lived model limiter across requests, a client can repeatedly start a stream and disconnect. The completed requests retain their slots, eventually preventing subsequent requests that share the limiter from proceeding.\n\nAgent-level `max_concurrency` and non-streaming model requests are not affected by this defect.\n\n### Details\n\nThe built-in limiter uses `anyio.CapacityLimiter`, which associates each acquired slot with its borrowing task. Pydantic AI's streaming lifecycle can acquire the slot on the task consuming the stream and run cleanup on another internal task. The limiter rejects that release, so the slot remains occupied even after the request has ended. Cleanup can raise a `RuntimeError`; a later request on the borrowing task can also fail because that task still holds a slot.\n\nEarly termination includes stopping iteration, a consumer exception, and cancellation. Fully consuming `stream_text()` with its default `debounce_by=0.1` can also reach the cross-task release path. Fully consumed streams must therefore not be assumed safe.\n\n### Mitigation\n\nUpgrade to a patched release of `pydantic-ai` or `pydantic-ai-slim`. If you cannot upgrade yet, use the agent-level `max_concurrency` setting instead of a concurrency-limited model, or avoid streaming runs through a concurrency-limited model.","origin":"UNSPECIFIED","severity":"HIGH","published_at":"2026-10-08T19:42:55.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":7.5,"cvss_vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-6fqq-452j-qhrp","https://nvd.nist.gov/vuln/detail/CVE-2026-107286","https://github.com/pydantic/pydantic-ai/pull/9478","https://github.com/pydantic/pydantic-ai/commit/453f19feeb7ab1d789f9393b1723c6a73b3d77b2","https://github.com/pydantic/pydantic-ai/releases/tag/v2.53.0","https://github.com/advisories/GHSA-6fqq-452j-qhrp"],"source_kind":"github","identifiers":["GHSA-6fqq-452j-qhrp","CVE-2026-107286"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-10-08T20:00:09.884Z","updated_at":"2026-10-16T06:00:27.408Z","epss_percentage":0.0045,"epss_percentile":0.37502,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS02ZnFxLTQ1MmotcWhycM4AB8HH","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS02ZnFxLTQ1MmotcWhycM4AB8HH","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.53.0","vulnerable_version_range":"\u003e= 2.10.0, \u003c 2.53.0"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.53.0","vulnerable_version_range":"\u003e= 2.10.0, \u003c 2.53.0"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS02ZnFxLTQ1MmotcWhycM4AB8HH/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS12MzZnLWpjdzkteDdjd84AB8F4","url":"https://github.com/advisories/GHSA-v36g-jcw9-x7cw","title":"Pydantic AI: Excessive resource use when local web fetching converts nested HTML","description":"### Summary\n\nApplications using Pydantic AI's local web-fetch tool can experience excessive CPU and memory use when it converts attacker-controlled HTML. An agent must fetch the affected page; provider-native web fetching is not affected.\n\n### Details\n\nNested block elements cause HTML-to-Markdown conversion to reprocess accumulated text at each level and can greatly expand the intermediate output. The response-body limit bounds downloaded bytes, while the returned-content limit is applied only after conversion. On current releases, conversion runs in a worker thread but can still consume substantial resources and delay other work in the process. Older releases performed conversion on the event loop.\n\n### Mitigation\n\nUpgrade to a patched release of `pydantic-ai` or `pydantic-ai-slim`. If you cannot upgrade yet, avoid using local web fetching for attacker-controlled HTML.","origin":"UNSPECIFIED","severity":"MODERATE","published_at":"2026-10-08T17:40:50.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":6.5,"cvss_vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-v36g-jcw9-x7cw","https://github.com/pydantic/pydantic-ai/pull/8984","https://github.com/pydantic/pydantic-ai/pull/8985","https://github.com/pydantic/pydantic-ai/commit/2b247add4950bef61d352e7ca8aefbd20539180c","https://github.com/pydantic/pydantic-ai/commit/2fd38792693da00a3ca5412aeffb436787af3545","https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.7","https://github.com/pydantic/pydantic-ai/releases/tag/v2.52.0","https://github.com/advisories/GHSA-v36g-jcw9-x7cw"],"source_kind":"github","identifiers":["GHSA-v36g-jcw9-x7cw","CVE-2026-107287"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-10-08T18:00:10.214Z","updated_at":"2026-10-16T06:00:29.154Z","epss_percentage":0.00277,"epss_percentile":0.18519,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS12MzZnLWpjdzkteDdjd84AB8F4","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS12MzZnLWpjdzkteDdjd84AB8F4","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.52.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.52.0"},{"first_patched_version":"1.107.7","vulnerable_version_range":"\u003e= 1.77.0, \u003c 1.107.7"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.52.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.52.0"},{"first_patched_version":"1.107.7","vulnerable_version_range":"\u003e= 1.77.0, \u003c 1.107.7"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS12MzZnLWpjdzkteDdjd84AB8F4/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS1xMnhjLXJyeGotNTh4Oc4AB8Ft","url":"https://github.com/advisories/GHSA-q2xc-rrxj-58x9","title":"Pydantic AI Web chat UI (`Agent.to_web()`, `clai web`): the local chat endpoint does not validate the `Host` header","description":"### Summary\n\nThe Pydantic AI development web chat UI (`Agent.to_web()`, `clai web`) does not validate the `Host` header of incoming requests. A website a developer visits can use DNS rebinding to make requests to a chat UI running on that developer's machine appear same-origin to the browser, causing the served agent to run and to execute its tools with the privileges and credentials of the local process.\n\n### Details\n\nOnce a name the attacker controls resolves to the loopback address, the browser treats the request as same-origin, so neither an `Origin` check nor a CSRF token constrains it — a same-origin page can read the served UI and any token in it.\n\nBinding the web UI to localhost — the default — does not prevent this.\n\n### Impact\n\nApplications and developers serving an agent through `Agent.to_web()` or `clai web`. The consequences depend on the tools the served agent exposes, and can include data disclosure as well as unwanted tool side effects.\n\nCurrent browser protections reduce but do not remove this exposure: Chromium's Local Network Access gates loopback subresource requests, but does not cover top-level navigations, and Safari does not implement it.\n\n### Mitigation\n\nUpgrade to `pydantic-ai`/`pydantic-ai-slim` \u003e= 2.30.0, or \u003e= 1.107.5 on the v1 maintenance line.\n\nThe fix validates the `Host` header and rejects anything other than localhost, a loopback/LAN IP address, or an explicitly allowed host, responding `421 Misdirected Request` otherwise. If you serve the web chat UI under a real hostname — behind a reverse proxy, tunnel, or similar — name it explicitly:\n\n```python\napp = agent.to_web(allowed_hosts=['ui.example.com'])\n```","origin":"UNSPECIFIED","severity":"MODERATE","published_at":"2026-10-08T17:16:39.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":6.4,"cvss_vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:L/I:H/A:L","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-q2xc-rrxj-58x9","https://github.com/pydantic/pydantic-ai/pull/7437","https://github.com/pydantic/pydantic-ai/pull/7438","https://github.com/pydantic/pydantic-ai/commit/394cc1d31656620704a703a2daed752afa5135fe","https://github.com/pydantic/pydantic-ai/commit/871c7aeec5dfed2138655ccbccbf15c6d763bae7","https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.5","https://github.com/pydantic/pydantic-ai/releases/tag/v2.30.0","https://github.com/advisories/GHSA-q2xc-rrxj-58x9"],"source_kind":"github","identifiers":["GHSA-q2xc-rrxj-58x9","CVE-2026-107292"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-10-08T18:00:10.222Z","updated_at":"2026-10-16T06:00:29.159Z","epss_percentage":0.00132,"epss_percentile":0.02422,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1xMnhjLXJyeGotNTh4Oc4AB8Ft","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS1xMnhjLXJyeGotNTh4Oc4AB8Ft","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.30.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.30.0"},{"first_patched_version":"1.107.5","vulnerable_version_range":"\u003e= 1.34.0, \u003c 1.107.5"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.30.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.30.0"},{"first_patched_version":"1.107.5","vulnerable_version_range":"\u003e= 1.34.0, \u003c 1.107.5"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1xMnhjLXJyeGotNTh4Oc4AB8Ft/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS1oNHhjLTNxZnEtamY5M84AB8Fs","url":"https://github.com/advisories/GHSA-h4xc-3qfq-jf93","title":"Pydantic AI Web chat UI (`Agent.to_web()`, `clai web`): a website visited by the developer can trigger agent runs and server-side tool execution on the local chat endpoint","description":"### Summary\n\nThe Pydantic AI development web chat UI (`Agent.to_web()`, `clai web`) did not check the content type of requests to its chat endpoint. This allowed a website visited by a developer to submit a request to a chat UI running on that developer's machine, causing the served agent to run and to execute its tools with the privileges and credentials of the local process.\n\nBinding the web UI to localhost — the default — does not prevent this, because a page open in the developer's browser can reach the loopback address.\n\n### Impact\n\nApplications and developers serving an agent through `Agent.to_web()` or `clai web`. The consequences depend on the tools the served agent exposes, and can include data disclosure as well as unwanted tool side effects. Tools marked `requires_approval=True` were not protected either, because the endpoint trusts approval decisions relayed by the client.\n\n### Mitigation\n\nUpgrade to a patched version. The chat endpoint now requires `Content-Type: application/json` and rejects other requests before the request body is parsed and before the agent runs. The bundled chat UI already sends this header; scripts and other non-browser clients that call the endpoint directly may need to be updated to send it.\n\nIf you cannot upgrade, don't run the web UI while browsing untrusted sites, stop it when you aren't using it, and don't serve an agent with side-effecting tools through it.\n\n### Credits\n- Thai Son Dinh from VinSOC Labs (R\u0026D)","origin":"UNSPECIFIED","severity":"HIGH","published_at":"2026-10-08T17:16:36.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":7.6,"cvss_vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:H/A:L","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-h4xc-3qfq-jf93","https://github.com/pydantic/pydantic-ai/pull/7382","https://github.com/pydantic/pydantic-ai/pull/7383","https://github.com/pydantic/pydantic-ai/commit/d2690201a1834005d382dbf5c47e0ed94ef8bf46","https://github.com/pydantic/pydantic-ai/commit/dd2abbdfa029c9ad138e7cc0edd2eaeaf9ed69c0","https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.4","https://github.com/pydantic/pydantic-ai/releases/tag/v2.28.0","https://github.com/advisories/GHSA-h4xc-3qfq-jf93"],"source_kind":"github","identifiers":["GHSA-h4xc-3qfq-jf93","CVE-2026-107295"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-10-08T18:00:10.222Z","updated_at":"2026-10-16T06:00:29.159Z","epss_percentage":0.00158,"epss_percentile":0.04453,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1oNHhjLTNxZnEtamY5M84AB8Fs","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS1oNHhjLTNxZnEtamY5M84AB8Fs","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.28.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.28.0"},{"first_patched_version":"1.107.4","vulnerable_version_range":"\u003e= 1.34.0, \u003c 1.107.4"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.28.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.28.0"},{"first_patched_version":"1.107.4","vulnerable_version_range":"\u003e= 1.34.0, \u003c 1.107.4"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1oNHhjLTNxZnEtamY5M84AB8Fs/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS0zZ2g0LWNnaHEtZjh2NM4AB8Fr","url":"https://github.com/advisories/GHSA-3gh4-cghq-f8v4","title":"Pydantic AI OpenTelemetry instrumentation: retry prompt content is not redacted when `include_content=False`","description":"### Summary\n\nPydantic AI's OpenTelemetry instrumentation supports `InstrumentationSettings(include_content=False)` to exclude message content — user prompts, model completions, tool call arguments and responses — from exported telemetry, so that agents can be monitored without sending sensitive content to the observability backend.\n\nRetry prompts — the feedback messages Pydantic AI sends back to the model when its output fails validation or an output validator raises `ModelRetry` — were not covered by this setting when they were not associated with a tool call, as with structured output modes that don't use tool calls (e.g. `NativeOutput` or `PromptedOutput`) and output validators applied to text output. Their full content was recorded on model request spans even with `include_content=False`. Since validation feedback can quote invalid values from the model's response, message content that the setting was configured to withhold could reach the telemetry backend.\n\n### Details\n\nRetry prompts without an associated tool call were serialized into span message attributes (such as `gen_ai.input.messages` and `pydantic_ai.all_messages`) as regular text parts, and this path did not apply the `include_content` check that every other message part applies. Retry prompts tied to a tool call, and all other message content, were redacted correctly.\n\n### Impact\n\nThis does not grant an attacker any new access to the agent or its data: the content is only visible to whoever can read the exported telemetry. The exposure matters when traces are exported to a destination whose audience is broader or less trusted than the agent's own data — a third-party observability vendor or a shared backend — which is the scenario `include_content=False` exists for. The disclosed content is limited to retry feedback: validation error details, which can quote invalid values from the model's output, or output-validator `ModelRetry` messages.\n\n### Who Is Affected\n\nYou are affected if you enabled instrumentation with `include_content=False` and your agent can produce retry prompts outside of tool calls: it uses a structured output mode that doesn't rely on tool calls (such as `NativeOutput` or `PromptedOutput`), or output validators on text output. You are not affected if you don't set `include_content=False`, or if all of your agent's retries come from tool calls (including the default tool-based structured output mode), which were redacted correctly.\n\n### Remediation\n\nUpgrade to a patched version; retry prompt content now honors `include_content=False` like all other message content. If you rely on this setting, consider reviewing previously exported traces for retry prompt content that should not have been recorded.\n\n### Workaround for Unpatched Versions\n\nIf you cannot upgrade, scrub or drop the message attributes (`gen_ai.input.messages`, `gen_ai.output.messages`, `pydantic_ai.all_messages`) in your telemetry pipeline (for example with an OpenTelemetry Collector processor), or use tool-based structured output modes, whose retry feedback honors `include_content=False`.\n\n### Credits\n\nReported privately by the University of Sydney Security Research Team (Liyi Zhou, Ziyue Wang, Strick, Maurice, Chenchen Yu), and later independently discovered and reported publicly, with a fix, by @sean-kim05.","origin":"UNSPECIFIED","severity":"LOW","published_at":"2026-10-08T17:16:32.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":2.3,"cvss_vector":"CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-3gh4-cghq-f8v4","https://github.com/pydantic/pydantic-ai/pull/7357","https://github.com/pydantic/pydantic-ai/commit/fe9dbed7b7ccf7e7128b5786886e4441f6f5594f","https://github.com/pydantic/pydantic-ai/releases/tag/v2.27.1","https://github.com/advisories/GHSA-3gh4-cghq-f8v4"],"source_kind":"github","identifiers":["GHSA-3gh4-cghq-f8v4","CVE-2026-107293"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-10-08T18:00:10.222Z","updated_at":"2026-10-16T06:00:29.160Z","epss_percentage":0.00297,"epss_percentile":0.20796,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS0zZ2g0LWNnaHEtZjh2NM4AB8Fr","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS0zZ2g0LWNnaHEtZjh2NM4AB8Fr","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.27.1","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.27.1"},{"first_patched_version":"1.107.4","vulnerable_version_range":"\u003e= 0.3.4, \u003c 1.107.4"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.27.1","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.27.1"},{"first_patched_version":"1.107.4","vulnerable_version_range":"\u003e= 0.3.4, \u003c 1.107.4"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS0zZ2g0LWNnaHEtZjh2NM4AB8Fr/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS12MnhoLTJ2cDgtNTdoOM4AB8Fq","url":"https://github.com/advisories/GHSA-v2xh-2vp8-57h8","title":"Pydantic AI: Unbounded memory use when downloading remote content via web_fetch or FileUrl","description":"### Summary\n\nSeveral remote-content download paths in Pydantic AI buffered the entire HTTP response body into memory before enforcing any size limit. An application that exposes the local web-fetch tool (`web_fetch_tool`, or the `WebFetch` capability's local fallback) to untrusted prompts can be driven to fetch an attacker-chosen URL that streams a very large body, exhausting process memory and crashing the worker. The same unbounded buffering applied to `FileUrl` media downloads (`ImageUrl`, `DocumentUrl`, `VideoUrl`, `AudioUrl`).\n\nThis is an **availability** issue only. SSRF protections (scheme allowlist, private-IP and cloud-metadata blocking) are unaffected; there is no confidentiality or integrity impact.\n\n### Details\n\nThe download helpers read the full response body before applying content-size controls, so an existing text-length limit only truncated *after* the whole body was already in memory, and media downloads had no wire-level cap at all. A single large response could grow process memory without bound .\n\n### Who Is Affected\n\nYou are affected if your application registers the local web-fetch tool (or relies on the `WebFetch` capability's local fallback) and exposes the agent to untrusted prompts, or if it downloads large remote `FileUrl`s influenced by untrusted input. Applications that only fetch developer-controlled URLs are not exposed to the model-chosen attack path.\n\n### Remediation\n\nUpgrade to `2.24.0` or later (v2) or `1.107.2` or later (v1). Patched versions enforce a default 50 MiB cap on web-fetch and `FileUrl` downloads while streaming; pass `None` to the limit to restore the previous unbounded behavior.\n\n### Credits\n\nIdentified during internal review of media-download hardening.","origin":"UNSPECIFIED","severity":"MODERATE","published_at":"2026-10-08T17:16:28.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":6.5,"cvss_vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-v2xh-2vp8-57h8","https://github.com/pydantic/pydantic-ai/pull/7141","https://github.com/pydantic/pydantic-ai/pull/7308","https://github.com/pydantic/pydantic-ai/commit/7a64d049c3f5271a975cd1d64b2fa876d83ede1d","https://github.com/pydantic/pydantic-ai/commit/e3824a58c82864ed26afb2887619834a4eb86cc8","https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.2","https://github.com/pydantic/pydantic-ai/releases/tag/v2.24.0","https://github.com/advisories/GHSA-v2xh-2vp8-57h8"],"source_kind":"github","identifiers":["GHSA-v2xh-2vp8-57h8","CVE-2026-107294"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-10-08T18:00:10.222Z","updated_at":"2026-10-16T06:00:29.161Z","epss_percentage":0.00437,"epss_percentile":0.36392,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS12MnhoLTJ2cDgtNTdoOM4AB8Fq","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS12MnhoLTJ2cDgtNTdoOM4AB8Fq","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.24.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c= 2.23.0"},{"first_patched_version":"1.107.2","vulnerable_version_range":"\u003e= 1.77.0, \u003c 1.107.2"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.24.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c= 2.23.0"},{"first_patched_version":"1.107.2","vulnerable_version_range":"\u003e= 1.77.0, \u003c 1.107.2"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS12MnhoLTJ2cDgtNTdoOM4AB8Fq/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS1mcGY0LXZ3Y3AtdjRocM4AB8Fg","url":"https://github.com/advisories/GHSA-fpf4-vwcp-v4hp","title":"Pydantic AI: Event loop blocked by quadratic title extraction in `web_fetch`","description":"### Summary\n\nThe local web-fetch tool (`web_fetch_tool`, also used as the `WebFetch` capability's local fallback) processed responses with several steps whose running time grows quadratically with the size of certain server-controlled inputs, and ran them on the event loop: decoding the body with whichever charset the server declared, extracting the page title with a backtracking regular expression, and converting the HTML to markdown. An application that exposes this tool to untrusted prompts can be steered to fetch an attacker-controlled page of a megabyte or two that blocks the event loop for minutes, stalling every other coroutine in the process — other agent runs, other requests being served — for the duration.\n\nThis is an **availability** issue only. SSRF protections and the download size limit introduced in GHSA-v2xh-2vp8-57h8 are unaffected; that limit bounds how much is downloaded, not how long the response takes to process.\n\n### Details\n\nTitle extraction used a backtracking pattern over the raw response body, so a body made of repeated unterminated tag openings cost time proportional to the square of its size. The HTML-to-markdown conversion had the same shape in three of its steps: normalizing whitespace, stripping preformatted blocks, and numbering ordered lists all took time proportional to the square of a run of spaces or a list's length. All of it ran on the event loop, and the regex steps hold the interpreter lock even when moved off it, so the whole process paid for the size of a server-controlled response.\n\nThe response body was also decoded on the event loop with the codec named by the `charset` parameter of the response's `Content-Type`, looked up in Python's codec registry. That registry includes `punycode`, whose decoder takes time proportional to the square of its input: a response of about one megabyte labelled `charset=punycode` blocked the event loop for roughly half a minute, with no HTML required. The registry also includes codecs that aren't text encodings at all, such as `rot_13` and `base64_codec`; a response labelled with one of those raised an unexpected exception out of the tool, aborting the agent run that fetched it.\n\nSeparately, the HTML-to-markdown conversion recursed once per nested element, so a page nested a few hundred elements deep raised a `RecursionError` out of the tool, aborting the agent run that fetched it. A JSON response nested deeper than the interpreter allows did the same. These only affect that one run.\n\n### Who Is Affected\n\nYou are affected if your application registers the local web-fetch tool (or relies on the `WebFetch` capability's local fallback) and exposes the agent to untrusted prompts. `allowed_domains` narrows the exposure to pages on those domains but does not remove it. Applications that only fetch developer-controlled URLs are not exposed to the model-chosen attack path.\n\n### Remediation\n\nUpgrade to a patched version. The title is now found with a single linear scan, the conversion steps above run in linear time, and decoding, title extraction and conversion all run in a worker thread. A charset naming a codec that isn't a text encoding, and a page too deeply nested to convert, are reported back to the model as a failed fetch instead of aborting the run; a JSON body too deeply nested to parse is returned as plain text.\n\n### Credits\n\nReported privately by @BrianWillows, whose report covered the quadratic title extraction. The response decoding, the codecs that are not text encodings, and the quadratic steps in the HTML-to-markdown conversion were found while fixing it.","origin":"UNSPECIFIED","severity":"MODERATE","published_at":"2026-10-08T16:48:25.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":6.5,"cvss_vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-fpf4-vwcp-v4hp","https://github.com/pydantic/pydantic-ai/pull/8397","https://github.com/pydantic/pydantic-ai/pull/8399","https://github.com/pydantic/pydantic-ai/pull/8418","https://github.com/pydantic/pydantic-ai/pull/8433","https://github.com/pydantic/pydantic-ai/pull/8434","https://github.com/pydantic/pydantic-ai/commit/2faa6181d8a17d83bc9516d035c5270db8730fa0","https://github.com/pydantic/pydantic-ai/commit/9cdc952e4c3319e85a3e04f2de49fbbb765bd38b","https://github.com/pydantic/pydantic-ai/commit/a93ea5226be1e93ae13131ae3f22287190411389","https://github.com/pydantic/pydantic-ai/commit/c3fd1cc1f15fdbf750d78e4e3ec1e8b4d6a3d920","https://github.com/pydantic/pydantic-ai/commit/fb92ccfc3ca2735dab877e2ed73856681bf72ad1","https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.6","https://github.com/pydantic/pydantic-ai/releases/tag/v2.44.0","https://github.com/advisories/GHSA-fpf4-vwcp-v4hp"],"source_kind":"github","identifiers":["GHSA-fpf4-vwcp-v4hp","CVE-2026-107290"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-10-08T17:00:16.205Z","updated_at":"2026-10-16T06:00:29.172Z","epss_percentage":0.00442,"epss_percentile":0.36794,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1mcGY0LXZ3Y3AtdjRocM4AB8Fg","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS1mcGY0LXZ3Y3AtdjRocM4AB8Fg","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.44.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.44.0"},{"first_patched_version":"1.107.6","vulnerable_version_range":"\u003e= 1.77.0, \u003c 1.107.6"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.44.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.44.0"},{"first_patched_version":"1.107.6","vulnerable_version_range":"\u003e= 1.77.0, \u003c 1.107.6"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1mcGY0LXZ3Y3AtdjRocM4AB8Fg/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS00eDlwLWc5d20tOHE3Zs4AB8Ff","url":"https://github.com/advisories/GHSA-4x9p-g9wm-8q7f","title":"Pydantic AI OpenTelemetry instrumentation: exception events on tool and agent run spans include content when `include_content=False`","description":"### Summary\n\nPydantic AI's OpenTelemetry instrumentation supports `InstrumentationSettings(include_content=False)` to exclude message content — user prompts, model completions, tool call arguments and responses, and any other message content — from exported telemetry, so that agents can be monitored without sending sensitive content to the observability backend.\n\nThe message attributes honoured the setting. Several other parts of the same spans did not, and exported content regardless of it:\n\n- **Exceptions.** Recorded as OpenTelemetry exception events, with their message and stack trace, on tool, agent run, model request, embedding and image generation spans, and on realtime session spans. The message of the exception carrying a tool's `ModelRetry` or `ToolFailed` feedback is the text sent back to the model, which can quote tool arguments and results. When a tool ran out of retries, the error that ended the run was chained from the last retry, so its stack trace repeated that text on the run span. Exceptions raised by tool code were recorded with their full message, as were failures of a model request, embedding or image generation, whose messages carry the provider's error response body.\n- **The error status description.** The OpenTelemetry SDK describes a span's ERROR status with the exception's type and message, so the message reached the backend a second time even where the event itself was redacted.\n- **Instructions and the prompted-output template.** The `model_request_parameters` attribute serialized the request's instruction parts in full, exporting the agent's instructions — both static and those built from dependencies at request time — along with the template used to prompt for structured output.\n\n### Details\n\nContent reaches these places because of what they carry rather than through any single missing check, which is why the setting was applied correctly to the message attributes (`gen_ai.input.messages`, `gen_ai.tool.call.arguments`, `gen_ai.tool.call.result`, and so on) while these paths were not: the exception recording and the status description came from the OpenTelemetry SDK's defaults, and the instructions and output template were serialized as part of the request's parameters rather than treated as content.\n\n### Impact\n\nThis does not grant an attacker any new access to the agent or its data: the content is only visible to whoever can read the exported telemetry. The exposure matters when traces are exported to a destination whose audience is broader or less trusted than the agent's own data — a third-party observability vendor or a shared backend — which is the scenario `include_content=False` exists for.\n\n### Who Is Affected\n\nYou are affected if you enabled instrumentation with `include_content=False`. Instructions are exported on every successful run, so no failure is needed to be affected; the exception paths additionally require a tool to raise, or a model, embedding or image generation request to fail. Realtime sessions are affected the same way, through the errors their provider connections report. GHSA-3gh4-cghq-f8v4 stated that retries coming from tool calls were redacted correctly; that was true of the retry prompt in the message attributes but not of the exception event on the tool span. You are not affected if you don't set `include_content=False`.\n\n### Remediation\n\nUpgrade to a patched version. With `include_content=False`, exception events now record only the exception type, error statuses carry no description, and `model_request_parameters` is exported without its instruction content or output template. If you rely on this setting, consider reviewing previously exported traces for exception events, for error status descriptions, and for `model_request_parameters`.\n\n### Workaround for Unpatched Versions\n\nIf you cannot upgrade, scrub the `exception.message` and `exception.stacktrace` event attributes, the error status description, and the instruction parts and `prompted_output_template` within `model_request_parameters`, on spans emitted by Pydantic AI in your telemetry pipeline (for example with an OpenTelemetry Collector processor). Setting `include_model_request_parameters=False` alongside `include_content=False` removes both, at the cost of the rest of that attribute.\n\n### Credits\n\nReported privately by @BrianWillows, whose report covered the exception events on tool and agent run spans. The remaining paths were found while fixing it, by a test that drives content through every channel at once and checks the whole exported trace.","origin":"UNSPECIFIED","severity":"LOW","published_at":"2026-10-08T16:48:16.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":2.3,"cvss_vector":"CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-4x9p-g9wm-8q7f","https://github.com/pydantic/pydantic-ai/pull/8403","https://github.com/pydantic/pydantic-ai/pull/8404","https://github.com/pydantic/pydantic-ai/pull/8408","https://github.com/pydantic/pydantic-ai/pull/8428","https://github.com/pydantic/pydantic-ai/pull/8429","https://github.com/pydantic/pydantic-ai/commit/4e013c51a50659aba2adf7853bfb22bb77f6a518","https://github.com/pydantic/pydantic-ai/commit/6b14c74cb281f899a2ae4fae5327111e33f60771","https://github.com/pydantic/pydantic-ai/commit/7ee27e38ab2e525ca60ff1a25d16413ff989fd79","https://github.com/pydantic/pydantic-ai/commit/963dec5f70d6f558997fc259356c0090cc5ea487","https://github.com/pydantic/pydantic-ai/commit/de4e61515327bd80a19cd8552001c30933e6acc3","https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.6","https://github.com/pydantic/pydantic-ai/releases/tag/v2.44.0","https://github.com/advisories/GHSA-4x9p-g9wm-8q7f"],"source_kind":"github","identifiers":["GHSA-4x9p-g9wm-8q7f","CVE-2026-107291"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-10-08T17:00:16.205Z","updated_at":"2026-10-16T06:00:29.174Z","epss_percentage":0.00518,"epss_percentile":0.42652,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS00eDlwLWc5d20tOHE3Zs4AB8Ff","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS00eDlwLWc5d20tOHE3Zs4AB8Ff","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.44.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.44.0"},{"first_patched_version":"1.107.6","vulnerable_version_range":"\u003e= 0.3.4, \u003c 1.107.6"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.44.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.44.0"},{"first_patched_version":"1.107.6","vulnerable_version_range":"\u003e= 0.3.4, \u003c 1.107.6"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS00eDlwLWc5d20tOHE3Zs4AB8Ff/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS12bXhjLWgyeDItam1mM84AB8Fe","url":"https://github.com/advisories/GHSA-vmxc-h2x2-jmf3","title":"Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifiers","description":"### Summary\n\nWhen an application using Pydantic AI opts a URL into local network access — either a `FileUrl` with `force_download='allow-local'`, or `web_fetch_tool(allow_local_urls=True)` — the cloud-metadata blocklist could be bypassed by appending an IPv6 zone identifier to a metadata address (for example `fd00:ec2::254%251`). The host ignores the zone identifier on a destination that is not link-local and delivers the request to the metadata endpoint anyway, exposing cloud IAM short-term credentials.\n\nThis is an incomplete fix of [GHSA-cqp8-fcvh-x7r3](https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-cqp8-fcvh-x7r3) / [CVE-2026-46678](https://nvd.nist.gov/vuln/detail/CVE-2026-46678) and [GHSA-cg7w-rg45-pc59](https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-cg7w-rg45-pc59) / [CVE-2026-48782](https://nvd.nist.gov/vuln/detail/CVE-2026-48782), themselves follow-ups to [CVE-2026-25580](https://nvd.nist.gov/vuln/detail/CVE-2026-25580). The parent advisory's remediation guaranteed that cloud metadata endpoints are always blocked, even with local access allowed. That guarantee did not hold for zone-scoped spellings of the IPv6 metadata endpoints.\n\n\n### Details\n\nThe cloud-metadata guard compared IPv6 addresses against its blocklist by set membership. Python includes the zone identifier in `IPv6Address` equality and hashing, so a zone-scoped spelling of a blocked address did not match, while the network stack ignores the zone identifier for a destination that is not link-local. The private-range checks, and the IPv4 and transition-form metadata checks, were already unaffected, because they compare by network containment and by packed bytes respectively.\n\nOnly the IPv6 cloud metadata endpoints were reachable this way, so the issue requires an IPv6-enabled environment — for example AWS EC2 or EKS with IPv6, GCP IPv6-only instances, or Scaleway.\n\n### Who Is Affected\n\nYou are affected **only if** your application opts a URL that is, or could be, influenced by untrusted input into local network access, through either:\n\n- a `FileUrl` (`ImageUrl`, `AudioUrl`, `VideoUrl`, `DocumentUrl`) with `force_download='allow-local'`; or\n- `web_fetch_tool(allow_local_urls=True)`, where the model chooses the URL.\n\nBoth are off by default.\n\nYou are **not** affected through the `FileUrl` path if you use any of the bundled integrations to ingest user input, because they do not propagate `force_download` from external data:\n\n- `Agent.to_web` / `clai web`\n- `VercelAIAdapter`\n- `AGUIAdapter` / `Agent.to_ag_ui`\n\n`web_fetch_tool` is configured by your own application, so a client cannot turn on `allow_local_urls`.\n\nApplications that only download from developer-controlled URLs are not affected.\n\n### Remediation\n\nUpgrade to a patched version. The cloud-metadata and private-IP checks now drop an IPv6 zone identifier before evaluating the address, so every blocklist comparison is made on the address itself. A zone identifier is still carried on the connection, so legitimate link-local fetches under local network access continue to work.\n\n### Workaround for Unpatched Versions\n\nAvoid opting into local network access — `force_download='allow-local'` or `web_fetch_tool(allow_local_urls=True)` — on any URL that could be influenced by untrusted input. If you must, reject URL hosts containing `%` before constructing the `FileUrl` or configuring the tool.\n\n### Credits\n\nReported by [@euriconicacio](https://github.com/euriconicacio).","origin":"UNSPECIFIED","severity":"MODERATE","published_at":"2026-10-08T16:48:06.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":6.8,"cvss_vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-vmxc-h2x2-jmf3","https://github.com/pydantic/pydantic-ai/pull/8401","https://github.com/pydantic/pydantic-ai/pull/8402","https://github.com/pydantic/pydantic-ai/commit/02157e1b87bd45d3f2e111ce07afdf89f9fb0e5b","https://github.com/pydantic/pydantic-ai/commit/4da70591460f51a8c4f128eaeef70a33340dbd55","https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.6","https://github.com/pydantic/pydantic-ai/releases/tag/v2.44.0","https://github.com/advisories/GHSA-vmxc-h2x2-jmf3"],"source_kind":"github","identifiers":["GHSA-vmxc-h2x2-jmf3","CVE-2026-107289"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-10-08T17:00:16.205Z","updated_at":"2026-10-16T21:00:53.184Z","epss_percentage":0.00322,"epss_percentile":0.23553,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS12bXhjLWgyeDItam1mM84AB8Fe","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS12bXhjLWgyeDItam1mM84AB8Fe","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.44.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.44.0"},{"first_patched_version":"1.107.6","vulnerable_version_range":"\u003e= 1.56.0, \u003c 1.107.6"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.44.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.44.0"},{"first_patched_version":"1.107.6","vulnerable_version_range":"\u003e= 1.56.0, \u003c 1.107.6"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS12bXhjLWgyeDItam1mM84AB8Fe/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS1oN3A3LXc1Z2MteGozd84ABin0","url":"https://github.com/advisories/GHSA-h7p7-w5gc-xj3w","title":"Pydantic AI: Unvalidated UploadedFile references in UI adapters allow server-side file access using the application's credentials","description":"### Summary\n\nA client that can submit message history to a Pydantic AI UI adapter can reference arbitrary files in the application's model-provider or cloud-storage account. The server forwards the reference to the model provider, which fetches it using the server's own credentials, allowing the client to read files it should not have access to.\n\n### Details\n\nUI adapters reconstruct file parts from client-submitted message history and forward them to the model provider. File **URL** parts are validated against a scheme allowlist before being forwarded, but `UploadedFile` references — which point to a file by provider file ID or cloud-storage URI (e.g. `s3://…`, `gs://…`) — were forwarded without validation.\n\nBecause the provider resolves an `UploadedFile` using the server-side identity (IAM role, service account, or provider API key) rather than the client's, a client that crafts message history containing an attacker-chosen `UploadedFile` can cause the server to read objects belonging to its own account or to other tenants, given a referenceable identifier.\n\n### Impact\n\nApplications that pass untrusted client-submitted message history to an agent through a UI adapter (such as the Vercel AI adapter). Exploitation requires the attacker to reference a valid file identifier; depending on how the application names objects, such identifiers are not always unguessable.\n\n### Patches\n\nUpgrade to `1.106.0` (1.x) or `2.0.0b6` (the 2.x beta line), which validate `UploadedFile` references on client-submitted messages the same way file URLs are validated.\n\n### Workarounds\n\nIf users cannot upgrade, do not pass untrusted client-submitted message history to the agent, or strip `UploadedFile` parts from incoming messages before running the agent.","origin":"UNSPECIFIED","severity":"MODERATE","published_at":"2026-08-13T14:16:26.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":6.8,"cvss_vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-h7p7-w5gc-xj3w","https://nvd.nist.gov/vuln/detail/CVE-2026-54249","https://github.com/pydantic/pydantic-ai/releases/tag/v1.106.0","https://github.com/pydantic/pydantic-ai/releases/tag/v2.0.0b6","https://github.com/advisories/GHSA-h7p7-w5gc-xj3w"],"source_kind":"github","identifiers":["GHSA-h7p7-w5gc-xj3w","CVE-2026-54249"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-08-13T15:00:07.943Z","updated_at":"2026-10-16T06:01:31.034Z","epss_percentage":0.00315,"epss_percentile":0.22523,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1oN3A3LXc1Z2MteGozd84ABin0","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS1oN3A3LXc1Z2MteGozd84ABin0","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.0.0b6","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.0.0b6"},{"first_patched_version":"1.106.0","vulnerable_version_range":"\u003e= 1.65.0, \u003c 1.106.0"}],"purl":"pkg:pypi/pydantic-ai"},{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.0.0b6","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.0.0b6"},{"first_patched_version":"1.106.0","vulnerable_version_range":"\u003e= 1.65.0, \u003c 1.106.0"}],"purl":"pkg:pypi/pydantic-ai-slim"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1oN3A3LXc1Z2MteGozd84ABin0/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS1jZzd3LXJnNDUtcGM1Oc4ABZnI","url":"https://github.com/advisories/GHSA-cg7w-rg45-pc59","title":"pydantic-ai: SSRF blocklist bypass via IPv4-compatible, SIIT/IVI, and local NAT64 IPv6 addresses (incomplete fix of CVE-2026-46678)","description":"## Summary\n\nWhen an application using Pydantic AI opts a URL into `force_download='allow-local'` (which disables the default block on private/internal IPs) **and runs on a network that routes the affected IPv6 transition forms (NAT64- or ISATAP-configured networks)**, the cloud-metadata blocklist could be bypassed by encoding the metadata IP in an IPv6 transition form that the previous fix did not decode — IPv4-compatible IPv6 (`::a.b.c.d`), the NAT64 RFC 8215 local-use prefix (`64:ff9b:1::/48`), operator-chosen NAT64 prefixes, or ISATAP. The IPv6 wrapper is then delivered to the underlying IPv4 metadata endpoint, exposing cloud IAM short-term credentials.\n\n**The bypass is exploitable only in environments whose network actually routes these forms** — NAT64-configured networks (IPv6-only or dual-stack-with-NAT64 deployments, including some Kubernetes setups) for the NAT64 variants, or networks with an ISATAP tunnel for ISATAP. A standard dual-stack cloud VM or container does not route them and is not affected in practice. The IPv4-compatible and Teredo variants are deprecated and addressed as defense-in-depth.\n\nThis is an incomplete fix of [GHSA-cqp8-fcvh-x7r3](https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-cqp8-fcvh-x7r3) / [CVE-2026-46678](https://nvd.nist.gov/vuln/detail/CVE-2026-46678) (itself a follow-up to [CVE-2026-25580](https://nvd.nist.gov/vuln/detail/CVE-2026-25580)). The prior remediation decoded only IPv4-mapped IPv6, 6to4, and the NAT64 well-known prefix; the metadata guarantee did not hold for the remaining transition forms.\n\n## Severity\n\n**MEDIUM** — `CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N` = **6.8**\n\nSame impact metrics and narrow attack surface as the parent advisory (AC:H): exploitation requires the application to have opted into `allow-local` on a URL influenced by untrusted input, and the NAT64/ISATAP variants additionally require the deployment network to route those forms.\n\n**CWE-918**: Server-Side Request Forgery (SSRF)\n\n## Affected Versions\n\n| Package | Vulnerable | Patched |\n|---|---|---|\n| `pydantic-ai` | `\u003e= 1.56.0, \u003c 1.102.0`; `\u003e= 2.0.0b1, \u003c 2.0.0b3` | `1.102.0`; `2.0.0b3` |\n| `pydantic-ai-slim` | `\u003e= 1.56.0, \u003c 1.102.0`; `\u003e= 2.0.0b1, \u003c 2.0.0b3` | `1.102.0`; `2.0.0b3` |\n\nThese transition forms have not been decoded since SSRF protection was introduced in `1.56.0`.\n\n## Who Is Affected\n\nUsers are affected **only if** their application explicitly opts a `FileUrl` (`ImageUrl`, `AudioUrl`, `VideoUrl`, `DocumentUrl`) into `force_download='allow-local'` on a URL that is, or could be, influenced by untrusted input.\n\nBeyond that precondition, the affected encodings only reach a metadata endpoint in environments whose network actually routes them. The broadly-routable IPv4-mapped form was addressed in `1.99.0` (CVE-2026-46678); the additional forms addressed here require a **NAT64-configured network** (IPv6-only or dual-stack-with-NAT64 deployments, including some Kubernetes setups) for the NAT64 variants, or an **ISATAP tunnel** for the ISATAP variant. The IPv4-compatible and Teredo forms are deprecated and not routed by modern stacks; they are addressed as defense-in-depth. Most deployments on a standard dual-stack cloud VM or container are therefore not exploitable in practice, but the fix restores the \"always blocked\" guarantee for the environments that are.\n\nUsers are **not** affected if they use any of the bundled integrations to ingest user input, because they do not propagate `force_download` from external data:\n\n- `Agent.to_web` / `clai web`\n- `VercelAIAdapter`\n- `AGUIAdapter` / `Agent.to_ag_ui`\n\nApplications that only download from developer-controlled URLs are not affected.\n\n## Remediation\n\nUpgrade to `1.102.0` or later (or `2.0.0b3` or later on the 2.0 pre-release line). The cloud-metadata and private-IP blocklists now decode the embedded IPv4 of every standardized IPv6 transition form before evaluating it — IPv4-mapped, IPv4-compatible, 6to4, NAT64 across all prefix lengths (including the RFC 8215 local-use prefix and operator-chosen prefixes), ISATAP, and Teredo. The set of always-blocked cloud metadata/credential endpoints has also been expanded across providers.\n\n## Workaround for Unpatched Versions\n\nAvoid passing `force_download='allow-local'` on any URL that could be influenced by untrusted input. If developers must, resolve the hostname themselves and validate the result against their own metadata blocklist — including IPv6 transition forms — before constructing the `FileUrl`.\n\n## Credits\n\nReported by [@SnailSploit](https://snailsploit.com).","origin":"UNSPECIFIED","severity":"MODERATE","published_at":"2026-06-26T19:17:56.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":6.8,"cvss_vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-cg7w-rg45-pc59","https://nvd.nist.gov/vuln/detail/CVE-2026-48782","https://github.com/pydantic/pydantic-ai/pull/5596","https://github.com/pydantic/pydantic-ai/commit/1add06179ba4de259f7ab977620b697b7209f7e4","https://github.com/pydantic/pydantic-ai/releases/tag/v1.102.0","https://github.com/advisories/GHSA-cg7w-rg45-pc59"],"source_kind":"github","identifiers":["GHSA-cg7w-rg45-pc59","CVE-2026-48782"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-06-26T20:00:07.807Z","updated_at":"2026-10-16T21:03:35.458Z","epss_percentage":0.00417,"epss_percentile":0.33524,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1jZzd3LXJnNDUtcGM1Oc4ABZnI","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS1jZzd3LXJnNDUtcGM1Oc4ABZnI","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.0.0b3","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.0.0b3"},{"first_patched_version":"1.102.0","vulnerable_version_range":"\u003e= 1.56.0, \u003c 1.102.0"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.0.0b3","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.0.0b3"},{"first_patched_version":"1.102.0","vulnerable_version_range":"\u003e= 1.56.0, \u003c 1.102.0"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1jZzd3LXJnNDUtcGM1Oc4ABZnI/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS1jcXA4LWZjdmgteDdyM84ABXO6","url":"https://github.com/advisories/GHSA-cqp8-fcvh-x7r3","title":"Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv4-mapped IPv6 (Incomplete fix of CVE-2026-25580)","description":"## Summary\n\nWhen an application using Pydantic AI opts a URL into `force_download='allow-local'` (which disables the default block on private/internal IPs), the cloud-metadata blocklist could be bypassed by encoding the metadata IP in an IPv6 transition form (IPv4-mapped IPv6, 6to4, or NAT64). Dual-stack and translated networks route the IPv6 wrapper to the underlying IPv4 endpoint, exposing cloud IAM short-term credentials.\n\nThis is an incomplete fix of [GHSA-2jrp-274c-jhv3](https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-2jrp-274c-jhv3) / [CVE-2026-25580](https://nvd.nist.gov/vuln/detail/CVE-2026-25580). The parent advisory's remediation guaranteed that \"cloud metadata endpoints are always blocked, even with `allow-local`.\" That guarantee did not hold for IPv6-encoded forms of the metadata IPs.\n\n## Severity\n\nSame impact metrics as the parent CVE, but materially narrower attack surface (AC:H instead of AC:L), because exploitation requires the application to have opted into `allow-local` on a URL influenced by untrusted input.\n\n## Who Is Affected\n\nApplications are affected **only if** they explicitly opt for `FileUrl` (`ImageUrl`, `AudioUrl`, `VideoUrl`, `DocumentUrl`) into `force_download='allow-local'` on a URL that is, or could be, influenced by untrusted input.\n\nApplications are **not** affected if they use any of the bundled integrations to ingest user input, because they do not propagate `force_download` from external data:\n\n- `Agent.to_web` / `clai web`\n- `VercelAIAdapter`\n- `AGUIAdapter` / `Agent.to_ag_ui`\n\nApplications that only download from developer-controlled URLs are not affected.\n\n## Remediation\n\nUpgrade to `1.99.0` or later. The cloud-metadata and private-IP blocklists now apply to IPv6 transition forms that route to a blocked IPv4 endpoint (IPv4-mapped IPv6, 6to4, and NAT64 well-known prefix). The blocklists have also been extended to cover additional IANA-reserved IPv4 and IPv6 special-purpose ranges.\n\n## Workaround for Unpatched Versions\n\nAvoid passing `force_download='allow-local'` on any URL that could be influenced by untrusted input. If developers must, resolve the hostname themselves and validate the result against their own metadata blocklist — including IPv6-encoded forms — before constructing the `FileUrl`.\n\n## Credits\n\nReported by [j0hndo](mailto:dohyun4466@gmail.com).","origin":"UNSPECIFIED","severity":"MODERATE","published_at":"2026-05-21T21:35:18.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":6.8,"cvss_vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-2jrp-274c-jhv3","https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-cqp8-fcvh-x7r3","https://github.com/advisories/GHSA-cqp8-fcvh-x7r3"],"source_kind":"github","identifiers":["GHSA-cqp8-fcvh-x7r3","CVE-2026-46678"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-05-21T22:00:08.306Z","updated_at":"2026-10-16T06:03:15.268Z","epss_percentage":0.0038,"epss_percentile":0.2955,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1jcXA4LWZjdmgteDdyM84ABXO6","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS1jcXA4LWZjdmgteDdyM84ABXO6","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"1.99.0","vulnerable_version_range":"\u003e= 1.56.0, \u003c 1.99.0"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"1.99.0","vulnerable_version_range":"\u003e= 1.56.0, \u003c 1.99.0"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1jcXA4LWZjdmgteDdyM84ABXO6/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS13anA1LTg2OGotd3F2N84ABSCw","url":"https://github.com/advisories/GHSA-wjp5-868j-wqv7","title":"Pydantic AI has Stored XSS via Path Traversal in Web UI CDN URL","description":"## Summary\n\nA Path Traversal vulnerability in the [Pydantic AI web UI](https://ai.pydantic.dev/web/) allows an attacker to serve arbitrary JavaScript in the context of the application by crafting a malicious URL. If a victim clicks the link or visits it via an iframe, attacker-controlled code executes in their browser, enabling theft of chat history and other client-side data.\n\n**This vulnerability only affects applications that use:**\n- **`Agent.to_web`** to serve a chat interface\n- **`clai web`** to serve a chat interface from the CLI\n\nThese are typically run locally (on `localhost`), but may also be deployed on a remote server.\n\n### Description\n\nThe web UI serves its frontend HTML by fetching it from a CDN. In affected versions, the CDN URL is constructed using a `version` query parameter from the request URL. This parameter is not validated, allowing path traversal sequences that cause the server to fetch and serve attacker-controlled HTML/JavaScript from an arbitrary source on the same CDN, instead of the legitimate chat UI package.\n\n### Who Is Affected\n\nProjects are affected if your application uses `Agent.to_web` or `clai web` to serve the Pydantic AI chat interface.\n\n### Attack Scenario\n\n1. An attacker crafts a URL pointing to the victim's Pydantic AI web UI instance (either `localhost` with the known port, or a remote server endpoint) with a malicious `version` query parameter containing path traversal sequences.\n\n2. The attacker gets the victim to visit this URL — directly via a link, through a redirect, or by embedding it in an iframe.\n\n3. When the victim's browser loads the page, the server fetches and serves attacker-controlled HTML/JavaScript instead of the legitimate chat UI.\n\n4. The attacker's JavaScript executes in the victim's browser in the context of the Pydantic AI web application, with access to:\n   - **Chat history** stored in `localStorage` (all user messages and AI responses)\n   - **Session cookies** that are not set as `HttpOnly`, if authentication middleware is configured\n\n## Remediation\n\n### Upgrade to Patched Version\n\n**Upgrade** to the patched version or later. The fix removes the user-controllable `version` parameter entirely. The CDN URL is now hardcoded at startup and cannot be influenced by request parameters.\n\nA new `html_source` parameter is available on `Agent.to_web` and `create_web_app` for applications that need to customize the UI source (e.g., for enterprise environments, offline usage, or custom UI builds). This parameter is only settable in application code, not via query parameters.","origin":"UNSPECIFIED","severity":"HIGH","published_at":"2026-02-06T18:51:57.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":7.1,"cvss_vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:N","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-wjp5-868j-wqv7","https://nvd.nist.gov/vuln/detail/CVE-2026-25640","https://github.com/pydantic/pydantic-ai/releases/tag/v1.51.0","https://github.com/advisories/GHSA-wjp5-868j-wqv7"],"source_kind":"github","identifiers":["GHSA-wjp5-868j-wqv7","CVE-2026-25640"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-02-06T19:00:08.072Z","updated_at":"2026-10-16T06:05:36.610Z","epss_percentage":0.00462,"epss_percentile":0.38525,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS13anA1LTg2OGotd3F2N84ABSCw","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS13anA1LTg2OGotd3F2N84ABSCw","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"1.51.0","vulnerable_version_range":"\u003e= 1.34.0, \u003c 1.51.0"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"1.51.0","vulnerable_version_range":"\u003e= 1.34.0, \u003c 1.51.0"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS13anA1LTg2OGotd3F2N84ABSCw/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS0yanJwLTI3NGMtamh2M84ABSCt","url":"https://github.com/advisories/GHSA-2jrp-274c-jhv3","title":"Pydantic AI has Server-Side Request Forgery (SSRF) in URL Download Handling","description":"## Summary\n\nA Server-Side Request Forgery (SSRF) vulnerability exists in Pydantic AI's URL download functionality. When applications accept message history from untrusted sources, attackers can include malicious URLs that cause the server to make HTTP requests to internal network resources, potentially accessing internal services or cloud credentials.\n\n**This vulnerability only affects applications that accept message history from external users**, such as those using:\n- **`Agent.to_web`** or **`clai web`** to serve a chat interface\n- **`VercelAIAdapter`** for Vercel AI SDK integration\n- **`AGUIAdapter`** or **`Agent.to_ag_ui`** for AG-UI protocol integration\n- Custom APIs that accept message history from user input\n\nApplications that only use hardcoded or developer-controlled URLs are not affected.\n\n### Description\n\nThe `download_item()` helper function downloads content from URLs without validating that the target is a public internet address. When user-supplied message history contains URLs, attackers can:\n\n1. **Access internal services**: Request `http://127.0.0.1`, `localhost`, or private IP ranges (`10.x.x.x`, `172.16.x.x`, `192.168.x.x`)\n2. **Steal cloud credentials**: Access cloud metadata endpoints (AWS IMDSv1 at `169.254.169.254`, GCP, Azure, Alibaba Cloud)\n3. **Scan internal networks**: Enumerate internal hosts and ports\n\n### Who Is Affected\n\nYou are affected if your application:\n\n1. **Uses `Agent.to_web` or `clai web`** - The web interface accepts file attachments via the Vercel AI Data Stream Protocol, where users can provide arbitrary URLs through chat messages.\n\n2. **Uses `VercelAIAdapter`** - Chat interfaces built with Vercel AI SDK allow users to submit messages containing URLs that are processed server-side.\n\n3. **Uses `AGUIAdapter` or `Agent.to_ag_ui`** - The AG-UI protocol allows users to provide file references with URLs as part of agent interactions.\n\n4. **Exposes a custom API accepting message history** - Any endpoint that accepts message history or `ImageUrl`, `AudioUrl`, `VideoUrl`, `DocumentUrl` objects from user input.\n\n### Attack Scenario\n\nVia chat interface, an attacker submits a message with a file attachment pointing to an internal resource:\n```json\n{\n  \"role\": \"user\",\n  \"parts\": [\n    {\"type\": \"file\", \"mediaType\": \"image/png\", \"url\": \"http://169.254.169.254/latest/meta-data/iam/security-credentials/\"}\n  ]\n}\n```\n\n### Affected Model Integrations\n\nMultiple model integrations download URL content in certain conditions:\n\n| Provider | Downloaded Types |\n|----------|------------------|\n| `OpenAIChatModel` | `AudioUrl`, `DocumentUrl` |\n| `AnthropicModel` | `DocumentUrl` (`text/plain`) |\n| `GoogleModel` (GLA) | All URL types (except YouTube and Files API URLs) |\n| `XaiModel` | `DocumentUrl` |\n| `BedrockConverseModel` | `ImageUrl`, `DocumentUrl`, `VideoUrl` (non-S3 URLs) |\n| `OpenRouterModel` | `AudioUrl` |\n\n## Remediation\n\n### Upgrade to Patched Version\n\n**Upgrade** to the patched version or later. The fix adds comprehensive SSRF protection:\n\n- Blocks private/internal IP addresses by default\n- Always blocks cloud metadata endpoints (even with `allow-local`)\n- Only allows `http://` and `https://` protocols\n- Resolves hostnames before requests to prevent DNS rebinding\n- Validates each redirect target\n\n### New `force_download='allow-local'` Option\n\nIf an application legitimately needs to access local/private network resources (e.g., in a fully trusted internal environment), it can explicitly opt in:\n\n```python\nfrom pydantic_ai import ImageUrl\n\n# Default behavior: private IPs are blocked\nImageUrl(url=\"http://internal-service/image.png\")  # Raises ValueError\n\n# Opt-in to allow local access (use with caution)\nImageUrl(url=\"http://internal-service/image.png\", force_download='allow-local')\n```\n\n**Important**: Cloud metadata endpoints (`169.254.169.254`, `fd00:ec2::254`, `100.100.100.200`) are **always blocked**, even with `allow-local`.\n\n### Workaround for Older Versions\n\nIf a project cannot upgrade immediately, use a [history processor](https://ai.pydantic.dev/message-history/#processing-message-history) to filter out URLs targeting local/private addresses:\n\n```python\nimport ipaddress\nimport socket\nfrom urllib.parse import urlparse\n\nfrom pydantic_ai import Agent, ModelMessage, ModelRequest\nfrom pydantic_ai.messages import AudioUrl, DocumentUrl, ImageUrl, VideoUrl\n\ndef is_private_url(url: str) -\u003e bool:\n    \"\"\"Check if a URL targets a private/internal IP address.\"\"\"\n    try:\n        parsed = urlparse(url)\n        hostname = parsed.hostname\n        if not hostname:\n            return True  # Invalid URL, block it\n\n        # Resolve hostname to IP\n        ip_str = socket.gethostbyname(hostname)\n        ip = ipaddress.ip_address(ip_str)\n\n        # Block private, loopback, and link-local addresses\n        return ip.is_private or ip.is_loopback or ip.is_link_local\n    except (socket.gaierror, ValueError):\n 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AI: Concurrency-limited models can keep their slot when a streamed request ends early","description":"\u003e This issue was posted by Codex Desktop using gpt-6.1-sol on behalf of David.\n\n### Summary\n\nApplications that wrap a model with `ConcurrencyLimitedModel` or `limit_model_concurrency` can permanently lose shared concurrency capacity when a streamed request releases its slot from a different task than the one that acquired it. This can happen when a stream ends early, and also when a stream is fully consumed using the default `stream_text()` debouncing.\n\nIn an application that exposes an affected streaming endpoint to network clients and shares a long-lived model limiter across requests, a client can repeatedly start a stream and disconnect. The completed requests retain their slots, eventually preventing subsequent requests that share the limiter from proceeding.\n\nAgent-level `max_concurrency` and non-streaming model requests are not affected by this defect.\n\n### Details\n\nThe built-in limiter uses `anyio.CapacityLimiter`, which associates each acquired slot with its borrowing task. Pydantic AI's streaming lifecycle can acquire the slot on the task consuming the stream and run cleanup on another internal task. The limiter rejects that release, so the slot remains occupied even after the request has ended. Cleanup can raise a `RuntimeError`; a later request on the borrowing task can also fail because that task still holds a slot.\n\nEarly termination includes stopping iteration, a consumer exception, and cancellation. Fully consuming `stream_text()` with its default `debounce_by=0.1` can also reach the cross-task release path. Fully consumed streams must therefore not be assumed safe.\n\n### Mitigation\n\nUpgrade to a patched release of `pydantic-ai` or `pydantic-ai-slim`. If you cannot upgrade yet, use the agent-level `max_concurrency` setting instead of a concurrency-limited model, or avoid streaming runs through a concurrency-limited model.","origin":"UNSPECIFIED","severity":"HIGH","published_at":"2026-10-08T19:42:55.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":7.5,"cvss_vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-6fqq-452j-qhrp","https://nvd.nist.gov/vuln/detail/CVE-2026-107286","https://github.com/pydantic/pydantic-ai/pull/9478","https://github.com/pydantic/pydantic-ai/commit/453f19feeb7ab1d789f9393b1723c6a73b3d77b2","https://github.com/pydantic/pydantic-ai/releases/tag/v2.53.0","https://github.com/advisories/GHSA-6fqq-452j-qhrp"],"source_kind":"github","identifiers":["GHSA-6fqq-452j-qhrp","CVE-2026-107286"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-10-08T20:00:09.884Z","updated_at":"2026-10-16T06:00:27.408Z","epss_percentage":0.0045,"epss_percentile":0.37502,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS02ZnFxLTQ1MmotcWhycM4AB8HH","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS02ZnFxLTQ1MmotcWhycM4AB8HH","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.53.0","vulnerable_version_range":"\u003e= 2.10.0, \u003c 2.53.0"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.53.0","vulnerable_version_range":"\u003e= 2.10.0, \u003c 2.53.0"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS02ZnFxLTQ1MmotcWhycM4AB8HH/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS12MzZnLWpjdzkteDdjd84AB8F4","url":"https://github.com/advisories/GHSA-v36g-jcw9-x7cw","title":"Pydantic AI: Excessive resource use when local web fetching converts nested HTML","description":"### Summary\n\nApplications using Pydantic AI's local web-fetch tool can experience excessive CPU and memory use when it converts attacker-controlled HTML. An agent must fetch the affected page; provider-native web fetching is not affected.\n\n### Details\n\nNested block elements cause HTML-to-Markdown conversion to reprocess accumulated text at each level and can greatly expand the intermediate output. The response-body limit bounds downloaded bytes, while the returned-content limit is applied only after conversion. On current releases, conversion runs in a worker thread but can still consume substantial resources and delay other work in the process. Older releases performed conversion on the event loop.\n\n### Mitigation\n\nUpgrade to a patched release of `pydantic-ai` or `pydantic-ai-slim`. If you cannot upgrade yet, avoid using local web fetching for attacker-controlled HTML.","origin":"UNSPECIFIED","severity":"MODERATE","published_at":"2026-10-08T17:40:50.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":6.5,"cvss_vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-v36g-jcw9-x7cw","https://github.com/pydantic/pydantic-ai/pull/8984","https://github.com/pydantic/pydantic-ai/pull/8985","https://github.com/pydantic/pydantic-ai/commit/2b247add4950bef61d352e7ca8aefbd20539180c","https://github.com/pydantic/pydantic-ai/commit/2fd38792693da00a3ca5412aeffb436787af3545","https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.7","https://github.com/pydantic/pydantic-ai/releases/tag/v2.52.0","https://github.com/advisories/GHSA-v36g-jcw9-x7cw"],"source_kind":"github","identifiers":["GHSA-v36g-jcw9-x7cw","CVE-2026-107287"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-10-08T18:00:10.214Z","updated_at":"2026-10-16T06:00:29.154Z","epss_percentage":0.00277,"epss_percentile":0.18519,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS12MzZnLWpjdzkteDdjd84AB8F4","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS12MzZnLWpjdzkteDdjd84AB8F4","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.52.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.52.0"},{"first_patched_version":"1.107.7","vulnerable_version_range":"\u003e= 1.77.0, \u003c 1.107.7"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.52.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.52.0"},{"first_patched_version":"1.107.7","vulnerable_version_range":"\u003e= 1.77.0, \u003c 1.107.7"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS12MzZnLWpjdzkteDdjd84AB8F4/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS1xMnhjLXJyeGotNTh4Oc4AB8Ft","url":"https://github.com/advisories/GHSA-q2xc-rrxj-58x9","title":"Pydantic AI Web chat UI (`Agent.to_web()`, `clai web`): the local chat endpoint does not validate the `Host` header","description":"### Summary\n\nThe Pydantic AI development web chat UI (`Agent.to_web()`, `clai web`) does not validate the `Host` header of incoming requests. A website a developer visits can use DNS rebinding to make requests to a chat UI running on that developer's machine appear same-origin to the browser, causing the served agent to run and to execute its tools with the privileges and credentials of the local process.\n\n### Details\n\nOnce a name the attacker controls resolves to the loopback address, the browser treats the request as same-origin, so neither an `Origin` check nor a CSRF token constrains it — a same-origin page can read the served UI and any token in it.\n\nBinding the web UI to localhost — the default — does not prevent this.\n\n### Impact\n\nApplications and developers serving an agent through `Agent.to_web()` or `clai web`. The consequences depend on the tools the served agent exposes, and can include data disclosure as well as unwanted tool side effects.\n\nCurrent browser protections reduce but do not remove this exposure: Chromium's Local Network Access gates loopback subresource requests, but does not cover top-level navigations, and Safari does not implement it.\n\n### Mitigation\n\nUpgrade to `pydantic-ai`/`pydantic-ai-slim` \u003e= 2.30.0, or \u003e= 1.107.5 on the v1 maintenance line.\n\nThe fix validates the `Host` header and rejects anything other than localhost, a loopback/LAN IP address, or an explicitly allowed host, responding `421 Misdirected Request` otherwise. If you serve the web chat UI under a real hostname — behind a reverse proxy, tunnel, or similar — name it explicitly:\n\n```python\napp = agent.to_web(allowed_hosts=['ui.example.com'])\n```","origin":"UNSPECIFIED","severity":"MODERATE","published_at":"2026-10-08T17:16:39.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":6.4,"cvss_vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:L/I:H/A:L","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-q2xc-rrxj-58x9","https://github.com/pydantic/pydantic-ai/pull/7437","https://github.com/pydantic/pydantic-ai/pull/7438","https://github.com/pydantic/pydantic-ai/commit/394cc1d31656620704a703a2daed752afa5135fe","https://github.com/pydantic/pydantic-ai/commit/871c7aeec5dfed2138655ccbccbf15c6d763bae7","https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.5","https://github.com/pydantic/pydantic-ai/releases/tag/v2.30.0","https://github.com/advisories/GHSA-q2xc-rrxj-58x9"],"source_kind":"github","identifiers":["GHSA-q2xc-rrxj-58x9","CVE-2026-107292"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-10-08T18:00:10.222Z","updated_at":"2026-10-16T06:00:29.159Z","epss_percentage":0.00132,"epss_percentile":0.02422,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1xMnhjLXJyeGotNTh4Oc4AB8Ft","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS1xMnhjLXJyeGotNTh4Oc4AB8Ft","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.30.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.30.0"},{"first_patched_version":"1.107.5","vulnerable_version_range":"\u003e= 1.34.0, \u003c 1.107.5"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.30.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.30.0"},{"first_patched_version":"1.107.5","vulnerable_version_range":"\u003e= 1.34.0, \u003c 1.107.5"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1xMnhjLXJyeGotNTh4Oc4AB8Ft/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS1oNHhjLTNxZnEtamY5M84AB8Fs","url":"https://github.com/advisories/GHSA-h4xc-3qfq-jf93","title":"Pydantic AI Web chat UI (`Agent.to_web()`, `clai web`): a website visited by the developer can trigger agent runs and server-side tool execution on the local chat endpoint","description":"### Summary\n\nThe Pydantic AI development web chat UI (`Agent.to_web()`, `clai web`) did not check the content type of requests to its chat endpoint. This allowed a website visited by a developer to submit a request to a chat UI running on that developer's machine, causing the served agent to run and to execute its tools with the privileges and credentials of the local process.\n\nBinding the web UI to localhost — the default — does not prevent this, because a page open in the developer's browser can reach the loopback address.\n\n### Impact\n\nApplications and developers serving an agent through `Agent.to_web()` or `clai web`. The consequences depend on the tools the served agent exposes, and can include data disclosure as well as unwanted tool side effects. Tools marked `requires_approval=True` were not protected either, because the endpoint trusts approval decisions relayed by the client.\n\n### Mitigation\n\nUpgrade to a patched version. The chat endpoint now requires `Content-Type: application/json` and rejects other requests before the request body is parsed and before the agent runs. The bundled chat UI already sends this header; scripts and other non-browser clients that call the endpoint directly may need to be updated to send it.\n\nIf you cannot upgrade, don't run the web UI while browsing untrusted sites, stop it when you aren't using it, and don't serve an agent with side-effecting tools through it.\n\n### Credits\n- Thai Son Dinh from VinSOC Labs (R\u0026D)","origin":"UNSPECIFIED","severity":"HIGH","published_at":"2026-10-08T17:16:36.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":7.6,"cvss_vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:H/A:L","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-h4xc-3qfq-jf93","https://github.com/pydantic/pydantic-ai/pull/7382","https://github.com/pydantic/pydantic-ai/pull/7383","https://github.com/pydantic/pydantic-ai/commit/d2690201a1834005d382dbf5c47e0ed94ef8bf46","https://github.com/pydantic/pydantic-ai/commit/dd2abbdfa029c9ad138e7cc0edd2eaeaf9ed69c0","https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.4","https://github.com/pydantic/pydantic-ai/releases/tag/v2.28.0","https://github.com/advisories/GHSA-h4xc-3qfq-jf93"],"source_kind":"github","identifiers":["GHSA-h4xc-3qfq-jf93","CVE-2026-107295"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-10-08T18:00:10.222Z","updated_at":"2026-10-16T06:00:29.159Z","epss_percentage":0.00158,"epss_percentile":0.04453,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1oNHhjLTNxZnEtamY5M84AB8Fs","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS1oNHhjLTNxZnEtamY5M84AB8Fs","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.28.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.28.0"},{"first_patched_version":"1.107.4","vulnerable_version_range":"\u003e= 1.34.0, \u003c 1.107.4"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.28.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.28.0"},{"first_patched_version":"1.107.4","vulnerable_version_range":"\u003e= 1.34.0, \u003c 1.107.4"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1oNHhjLTNxZnEtamY5M84AB8Fs/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS0zZ2g0LWNnaHEtZjh2NM4AB8Fr","url":"https://github.com/advisories/GHSA-3gh4-cghq-f8v4","title":"Pydantic AI OpenTelemetry instrumentation: retry prompt content is not redacted when `include_content=False`","description":"### Summary\n\nPydantic AI's OpenTelemetry instrumentation supports `InstrumentationSettings(include_content=False)` to exclude message content — user prompts, model completions, tool call arguments and responses — from exported telemetry, so that agents can be monitored without sending sensitive content to the observability backend.\n\nRetry prompts — the feedback messages Pydantic AI sends back to the model when its output fails validation or an output validator raises `ModelRetry` — were not covered by this setting when they were not associated with a tool call, as with structured output modes that don't use tool calls (e.g. `NativeOutput` or `PromptedOutput`) and output validators applied to text output. Their full content was recorded on model request spans even with `include_content=False`. Since validation feedback can quote invalid values from the model's response, message content that the setting was configured to withhold could reach the telemetry backend.\n\n### Details\n\nRetry prompts without an associated tool call were serialized into span message attributes (such as `gen_ai.input.messages` and `pydantic_ai.all_messages`) as regular text parts, and this path did not apply the `include_content` check that every other message part applies. Retry prompts tied to a tool call, and all other message content, were redacted correctly.\n\n### Impact\n\nThis does not grant an attacker any new access to the agent or its data: the content is only visible to whoever can read the exported telemetry. The exposure matters when traces are exported to a destination whose audience is broader or less trusted than the agent's own data — a third-party observability vendor or a shared backend — which is the scenario `include_content=False` exists for. The disclosed content is limited to retry feedback: validation error details, which can quote invalid values from the model's output, or output-validator `ModelRetry` messages.\n\n### Who Is Affected\n\nYou are affected if you enabled instrumentation with `include_content=False` and your agent can produce retry prompts outside of tool calls: it uses a structured output mode that doesn't rely on tool calls (such as `NativeOutput` or `PromptedOutput`), or output validators on text output. You are not affected if you don't set `include_content=False`, or if all of your agent's retries come from tool calls (including the default tool-based structured output mode), which were redacted correctly.\n\n### Remediation\n\nUpgrade to a patched version; retry prompt content now honors `include_content=False` like all other message content. If you rely on this setting, consider reviewing previously exported traces for retry prompt content that should not have been recorded.\n\n### Workaround for Unpatched Versions\n\nIf you cannot upgrade, scrub or drop the message attributes (`gen_ai.input.messages`, `gen_ai.output.messages`, `pydantic_ai.all_messages`) in your telemetry pipeline (for example with an OpenTelemetry Collector processor), or use tool-based structured output modes, whose retry feedback honors `include_content=False`.\n\n### Credits\n\nReported privately by the University of Sydney Security Research Team (Liyi Zhou, Ziyue Wang, Strick, Maurice, Chenchen Yu), and later independently discovered and reported publicly, with a fix, by @sean-kim05.","origin":"UNSPECIFIED","severity":"LOW","published_at":"2026-10-08T17:16:32.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":2.3,"cvss_vector":"CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-3gh4-cghq-f8v4","https://github.com/pydantic/pydantic-ai/pull/7357","https://github.com/pydantic/pydantic-ai/commit/fe9dbed7b7ccf7e7128b5786886e4441f6f5594f","https://github.com/pydantic/pydantic-ai/releases/tag/v2.27.1","https://github.com/advisories/GHSA-3gh4-cghq-f8v4"],"source_kind":"github","identifiers":["GHSA-3gh4-cghq-f8v4","CVE-2026-107293"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-10-08T18:00:10.222Z","updated_at":"2026-10-16T06:00:29.160Z","epss_percentage":0.00297,"epss_percentile":0.20796,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS0zZ2g0LWNnaHEtZjh2NM4AB8Fr","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS0zZ2g0LWNnaHEtZjh2NM4AB8Fr","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.27.1","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.27.1"},{"first_patched_version":"1.107.4","vulnerable_version_range":"\u003e= 0.3.4, \u003c 1.107.4"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.27.1","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.27.1"},{"first_patched_version":"1.107.4","vulnerable_version_range":"\u003e= 0.3.4, \u003c 1.107.4"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS0zZ2g0LWNnaHEtZjh2NM4AB8Fr/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS12MnhoLTJ2cDgtNTdoOM4AB8Fq","url":"https://github.com/advisories/GHSA-v2xh-2vp8-57h8","title":"Pydantic AI: Unbounded memory use when downloading remote content via web_fetch or FileUrl","description":"### Summary\n\nSeveral remote-content download paths in Pydantic AI buffered the entire HTTP response body into memory before enforcing any size limit. An application that exposes the local web-fetch tool (`web_fetch_tool`, or the `WebFetch` capability's local fallback) to untrusted prompts can be driven to fetch an attacker-chosen URL that streams a very large body, exhausting process memory and crashing the worker. The same unbounded buffering applied to `FileUrl` media downloads (`ImageUrl`, `DocumentUrl`, `VideoUrl`, `AudioUrl`).\n\nThis is an **availability** issue only. SSRF protections (scheme allowlist, private-IP and cloud-metadata blocking) are unaffected; there is no confidentiality or integrity impact.\n\n### Details\n\nThe download helpers read the full response body before applying content-size controls, so an existing text-length limit only truncated *after* the whole body was already in memory, and media downloads had no wire-level cap at all. A single large response could grow process memory without bound .\n\n### Who Is Affected\n\nYou are affected if your application registers the local web-fetch tool (or relies on the `WebFetch` capability's local fallback) and exposes the agent to untrusted prompts, or if it downloads large remote `FileUrl`s influenced by untrusted input. Applications that only fetch developer-controlled URLs are not exposed to the model-chosen attack path.\n\n### Remediation\n\nUpgrade to `2.24.0` or later (v2) or `1.107.2` or later (v1). Patched versions enforce a default 50 MiB cap on web-fetch and `FileUrl` downloads while streaming; pass `None` to the limit to restore the previous unbounded behavior.\n\n### Credits\n\nIdentified during internal review of media-download hardening.","origin":"UNSPECIFIED","severity":"MODERATE","published_at":"2026-10-08T17:16:28.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":6.5,"cvss_vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-v2xh-2vp8-57h8","https://github.com/pydantic/pydantic-ai/pull/7141","https://github.com/pydantic/pydantic-ai/pull/7308","https://github.com/pydantic/pydantic-ai/commit/7a64d049c3f5271a975cd1d64b2fa876d83ede1d","https://github.com/pydantic/pydantic-ai/commit/e3824a58c82864ed26afb2887619834a4eb86cc8","https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.2","https://github.com/pydantic/pydantic-ai/releases/tag/v2.24.0","https://github.com/advisories/GHSA-v2xh-2vp8-57h8"],"source_kind":"github","identifiers":["GHSA-v2xh-2vp8-57h8","CVE-2026-107294"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-10-08T18:00:10.222Z","updated_at":"2026-10-16T06:00:29.161Z","epss_percentage":0.00437,"epss_percentile":0.36392,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS12MnhoLTJ2cDgtNTdoOM4AB8Fq","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS12MnhoLTJ2cDgtNTdoOM4AB8Fq","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.24.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c= 2.23.0"},{"first_patched_version":"1.107.2","vulnerable_version_range":"\u003e= 1.77.0, \u003c 1.107.2"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.24.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c= 2.23.0"},{"first_patched_version":"1.107.2","vulnerable_version_range":"\u003e= 1.77.0, \u003c 1.107.2"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS12MnhoLTJ2cDgtNTdoOM4AB8Fq/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS1mcGY0LXZ3Y3AtdjRocM4AB8Fg","url":"https://github.com/advisories/GHSA-fpf4-vwcp-v4hp","title":"Pydantic AI: Event loop blocked by quadratic title extraction in `web_fetch`","description":"### Summary\n\nThe local web-fetch tool (`web_fetch_tool`, also used as the `WebFetch` capability's local fallback) processed responses with several steps whose running time grows quadratically with the size of certain server-controlled inputs, and ran them on the event loop: decoding the body with whichever charset the server declared, extracting the page title with a backtracking regular expression, and converting the HTML to markdown. An application that exposes this tool to untrusted prompts can be steered to fetch an attacker-controlled page of a megabyte or two that blocks the event loop for minutes, stalling every other coroutine in the process — other agent runs, other requests being served — for the duration.\n\nThis is an **availability** issue only. SSRF protections and the download size limit introduced in GHSA-v2xh-2vp8-57h8 are unaffected; that limit bounds how much is downloaded, not how long the response takes to process.\n\n### Details\n\nTitle extraction used a backtracking pattern over the raw response body, so a body made of repeated unterminated tag openings cost time proportional to the square of its size. The HTML-to-markdown conversion had the same shape in three of its steps: normalizing whitespace, stripping preformatted blocks, and numbering ordered lists all took time proportional to the square of a run of spaces or a list's length. All of it ran on the event loop, and the regex steps hold the interpreter lock even when moved off it, so the whole process paid for the size of a server-controlled response.\n\nThe response body was also decoded on the event loop with the codec named by the `charset` parameter of the response's `Content-Type`, looked up in Python's codec registry. That registry includes `punycode`, whose decoder takes time proportional to the square of its input: a response of about one megabyte labelled `charset=punycode` blocked the event loop for roughly half a minute, with no HTML required. The registry also includes codecs that aren't text encodings at all, such as `rot_13` and `base64_codec`; a response labelled with one of those raised an unexpected exception out of the tool, aborting the agent run that fetched it.\n\nSeparately, the HTML-to-markdown conversion recursed once per nested element, so a page nested a few hundred elements deep raised a `RecursionError` out of the tool, aborting the agent run that fetched it. A JSON response nested deeper than the interpreter allows did the same. These only affect that one run.\n\n### Who Is Affected\n\nYou are affected if your application registers the local web-fetch tool (or relies on the `WebFetch` capability's local fallback) and exposes the agent to untrusted prompts. `allowed_domains` narrows the exposure to pages on those domains but does not remove it. Applications that only fetch developer-controlled URLs are not exposed to the model-chosen attack path.\n\n### Remediation\n\nUpgrade to a patched version. The title is now found with a single linear scan, the conversion steps above run in linear time, and decoding, title extraction and conversion all run in a worker thread. A charset naming a codec that isn't a text encoding, and a page too deeply nested to convert, are reported back to the model as a failed fetch instead of aborting the run; a JSON body too deeply nested to parse is returned as plain text.\n\n### Credits\n\nReported privately by @BrianWillows, whose report covered the quadratic title extraction. The response decoding, the codecs that are not text encodings, and the quadratic steps in the HTML-to-markdown conversion were found while fixing it.","origin":"UNSPECIFIED","severity":"MODERATE","published_at":"2026-10-08T16:48:25.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":6.5,"cvss_vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-fpf4-vwcp-v4hp","https://github.com/pydantic/pydantic-ai/pull/8397","https://github.com/pydantic/pydantic-ai/pull/8399","https://github.com/pydantic/pydantic-ai/pull/8418","https://github.com/pydantic/pydantic-ai/pull/8433","https://github.com/pydantic/pydantic-ai/pull/8434","https://github.com/pydantic/pydantic-ai/commit/2faa6181d8a17d83bc9516d035c5270db8730fa0","https://github.com/pydantic/pydantic-ai/commit/9cdc952e4c3319e85a3e04f2de49fbbb765bd38b","https://github.com/pydantic/pydantic-ai/commit/a93ea5226be1e93ae13131ae3f22287190411389","https://github.com/pydantic/pydantic-ai/commit/c3fd1cc1f15fdbf750d78e4e3ec1e8b4d6a3d920","https://github.com/pydantic/pydantic-ai/commit/fb92ccfc3ca2735dab877e2ed73856681bf72ad1","https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.6","https://github.com/pydantic/pydantic-ai/releases/tag/v2.44.0","https://github.com/advisories/GHSA-fpf4-vwcp-v4hp"],"source_kind":"github","identifiers":["GHSA-fpf4-vwcp-v4hp","CVE-2026-107290"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-10-08T17:00:16.205Z","updated_at":"2026-10-16T06:00:29.172Z","epss_percentage":0.00442,"epss_percentile":0.36794,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1mcGY0LXZ3Y3AtdjRocM4AB8Fg","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS1mcGY0LXZ3Y3AtdjRocM4AB8Fg","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.44.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.44.0"},{"first_patched_version":"1.107.6","vulnerable_version_range":"\u003e= 1.77.0, \u003c 1.107.6"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.44.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.44.0"},{"first_patched_version":"1.107.6","vulnerable_version_range":"\u003e= 1.77.0, \u003c 1.107.6"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1mcGY0LXZ3Y3AtdjRocM4AB8Fg/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS00eDlwLWc5d20tOHE3Zs4AB8Ff","url":"https://github.com/advisories/GHSA-4x9p-g9wm-8q7f","title":"Pydantic AI OpenTelemetry instrumentation: exception events on tool and agent run spans include content when `include_content=False`","description":"### Summary\n\nPydantic AI's OpenTelemetry instrumentation supports `InstrumentationSettings(include_content=False)` to exclude message content — user prompts, model completions, tool call arguments and responses, and any other message content — from exported telemetry, so that agents can be monitored without sending sensitive content to the observability backend.\n\nThe message attributes honoured the setting. Several other parts of the same spans did not, and exported content regardless of it:\n\n- **Exceptions.** Recorded as OpenTelemetry exception events, with their message and stack trace, on tool, agent run, model request, embedding and image generation spans, and on realtime session spans. The message of the exception carrying a tool's `ModelRetry` or `ToolFailed` feedback is the text sent back to the model, which can quote tool arguments and results. When a tool ran out of retries, the error that ended the run was chained from the last retry, so its stack trace repeated that text on the run span. Exceptions raised by tool code were recorded with their full message, as were failures of a model request, embedding or image generation, whose messages carry the provider's error response body.\n- **The error status description.** The OpenTelemetry SDK describes a span's ERROR status with the exception's type and message, so the message reached the backend a second time even where the event itself was redacted.\n- **Instructions and the prompted-output template.** The `model_request_parameters` attribute serialized the request's instruction parts in full, exporting the agent's instructions — both static and those built from dependencies at request time — along with the template used to prompt for structured output.\n\n### Details\n\nContent reaches these places because of what they carry rather than through any single missing check, which is why the setting was applied correctly to the message attributes (`gen_ai.input.messages`, `gen_ai.tool.call.arguments`, `gen_ai.tool.call.result`, and so on) while these paths were not: the exception recording and the status description came from the OpenTelemetry SDK's defaults, and the instructions and output template were serialized as part of the request's parameters rather than treated as content.\n\n### Impact\n\nThis does not grant an attacker any new access to the agent or its data: the content is only visible to whoever can read the exported telemetry. The exposure matters when traces are exported to a destination whose audience is broader or less trusted than the agent's own data — a third-party observability vendor or a shared backend — which is the scenario `include_content=False` exists for.\n\n### Who Is Affected\n\nYou are affected if you enabled instrumentation with `include_content=False`. Instructions are exported on every successful run, so no failure is needed to be affected; the exception paths additionally require a tool to raise, or a model, embedding or image generation request to fail. Realtime sessions are affected the same way, through the errors their provider connections report. GHSA-3gh4-cghq-f8v4 stated that retries coming from tool calls were redacted correctly; that was true of the retry prompt in the message attributes but not of the exception event on the tool span. You are not affected if you don't set `include_content=False`.\n\n### Remediation\n\nUpgrade to a patched version. With `include_content=False`, exception events now record only the exception type, error statuses carry no description, and `model_request_parameters` is exported without its instruction content or output template. If you rely on this setting, consider reviewing previously exported traces for exception events, for error status descriptions, and for `model_request_parameters`.\n\n### Workaround for Unpatched Versions\n\nIf you cannot upgrade, scrub the `exception.message` and `exception.stacktrace` event attributes, the error status description, and the instruction parts and `prompted_output_template` within `model_request_parameters`, on spans emitted by Pydantic AI in your telemetry pipeline (for example with an OpenTelemetry Collector processor). Setting `include_model_request_parameters=False` alongside `include_content=False` removes both, at the cost of the rest of that attribute.\n\n### Credits\n\nReported privately by @BrianWillows, whose report covered the exception events on tool and agent run spans. The remaining paths were found while fixing it, by a test that drives content through every channel at once and checks the whole exported trace.","origin":"UNSPECIFIED","severity":"LOW","published_at":"2026-10-08T16:48:16.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":2.3,"cvss_vector":"CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-4x9p-g9wm-8q7f","https://github.com/pydantic/pydantic-ai/pull/8403","https://github.com/pydantic/pydantic-ai/pull/8404","https://github.com/pydantic/pydantic-ai/pull/8408","https://github.com/pydantic/pydantic-ai/pull/8428","https://github.com/pydantic/pydantic-ai/pull/8429","https://github.com/pydantic/pydantic-ai/commit/4e013c51a50659aba2adf7853bfb22bb77f6a518","https://github.com/pydantic/pydantic-ai/commit/6b14c74cb281f899a2ae4fae5327111e33f60771","https://github.com/pydantic/pydantic-ai/commit/7ee27e38ab2e525ca60ff1a25d16413ff989fd79","https://github.com/pydantic/pydantic-ai/commit/963dec5f70d6f558997fc259356c0090cc5ea487","https://github.com/pydantic/pydantic-ai/commit/de4e61515327bd80a19cd8552001c30933e6acc3","https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.6","https://github.com/pydantic/pydantic-ai/releases/tag/v2.44.0","https://github.com/advisories/GHSA-4x9p-g9wm-8q7f"],"source_kind":"github","identifiers":["GHSA-4x9p-g9wm-8q7f","CVE-2026-107291"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-10-08T17:00:16.205Z","updated_at":"2026-10-16T06:00:29.174Z","epss_percentage":0.00518,"epss_percentile":0.42652,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS00eDlwLWc5d20tOHE3Zs4AB8Ff","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS00eDlwLWc5d20tOHE3Zs4AB8Ff","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.44.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.44.0"},{"first_patched_version":"1.107.6","vulnerable_version_range":"\u003e= 0.3.4, \u003c 1.107.6"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.44.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.44.0"},{"first_patched_version":"1.107.6","vulnerable_version_range":"\u003e= 0.3.4, \u003c 1.107.6"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS00eDlwLWc5d20tOHE3Zs4AB8Ff/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS12bXhjLWgyeDItam1mM84AB8Fe","url":"https://github.com/advisories/GHSA-vmxc-h2x2-jmf3","title":"Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifiers","description":"### Summary\n\nWhen an application using Pydantic AI opts a URL into local network access — either a `FileUrl` with `force_download='allow-local'`, or `web_fetch_tool(allow_local_urls=True)` — the cloud-metadata blocklist could be bypassed by appending an IPv6 zone identifier to a metadata address (for example `fd00:ec2::254%251`). The host ignores the zone identifier on a destination that is not link-local and delivers the request to the metadata endpoint anyway, exposing cloud IAM short-term credentials.\n\nThis is an incomplete fix of [GHSA-cqp8-fcvh-x7r3](https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-cqp8-fcvh-x7r3) / [CVE-2026-46678](https://nvd.nist.gov/vuln/detail/CVE-2026-46678) and [GHSA-cg7w-rg45-pc59](https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-cg7w-rg45-pc59) / [CVE-2026-48782](https://nvd.nist.gov/vuln/detail/CVE-2026-48782), themselves follow-ups to [CVE-2026-25580](https://nvd.nist.gov/vuln/detail/CVE-2026-25580). The parent advisory's remediation guaranteed that cloud metadata endpoints are always blocked, even with local access allowed. That guarantee did not hold for zone-scoped spellings of the IPv6 metadata endpoints.\n\n\n### Details\n\nThe cloud-metadata guard compared IPv6 addresses against its blocklist by set membership. Python includes the zone identifier in `IPv6Address` equality and hashing, so a zone-scoped spelling of a blocked address did not match, while the network stack ignores the zone identifier for a destination that is not link-local. The private-range checks, and the IPv4 and transition-form metadata checks, were already unaffected, because they compare by network containment and by packed bytes respectively.\n\nOnly the IPv6 cloud metadata endpoints were reachable this way, so the issue requires an IPv6-enabled environment — for example AWS EC2 or EKS with IPv6, GCP IPv6-only instances, or Scaleway.\n\n### Who Is Affected\n\nYou are affected **only if** your application opts a URL that is, or could be, influenced by untrusted input into local network access, through either:\n\n- a `FileUrl` (`ImageUrl`, `AudioUrl`, `VideoUrl`, `DocumentUrl`) with `force_download='allow-local'`; or\n- `web_fetch_tool(allow_local_urls=True)`, where the model chooses the URL.\n\nBoth are off by default.\n\nYou are **not** affected through the `FileUrl` path if you use any of the bundled integrations to ingest user input, because they do not propagate `force_download` from external data:\n\n- `Agent.to_web` / `clai web`\n- `VercelAIAdapter`\n- `AGUIAdapter` / `Agent.to_ag_ui`\n\n`web_fetch_tool` is configured by your own application, so a client cannot turn on `allow_local_urls`.\n\nApplications that only download from developer-controlled URLs are not affected.\n\n### Remediation\n\nUpgrade to a patched version. The cloud-metadata and private-IP checks now drop an IPv6 zone identifier before evaluating the address, so every blocklist comparison is made on the address itself. A zone identifier is still carried on the connection, so legitimate link-local fetches under local network access continue to work.\n\n### Workaround for Unpatched Versions\n\nAvoid opting into local network access — `force_download='allow-local'` or `web_fetch_tool(allow_local_urls=True)` — on any URL that could be influenced by untrusted input. If you must, reject URL hosts containing `%` before constructing the `FileUrl` or configuring the tool.\n\n### Credits\n\nReported by [@euriconicacio](https://github.com/euriconicacio).","origin":"UNSPECIFIED","severity":"MODERATE","published_at":"2026-10-08T16:48:06.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":6.8,"cvss_vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-vmxc-h2x2-jmf3","https://github.com/pydantic/pydantic-ai/pull/8401","https://github.com/pydantic/pydantic-ai/pull/8402","https://github.com/pydantic/pydantic-ai/commit/02157e1b87bd45d3f2e111ce07afdf89f9fb0e5b","https://github.com/pydantic/pydantic-ai/commit/4da70591460f51a8c4f128eaeef70a33340dbd55","https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.6","https://github.com/pydantic/pydantic-ai/releases/tag/v2.44.0","https://github.com/advisories/GHSA-vmxc-h2x2-jmf3"],"source_kind":"github","identifiers":["GHSA-vmxc-h2x2-jmf3","CVE-2026-107289"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-10-08T17:00:16.205Z","updated_at":"2026-10-16T21:00:53.184Z","epss_percentage":0.00322,"epss_percentile":0.23553,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS12bXhjLWgyeDItam1mM84AB8Fe","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS12bXhjLWgyeDItam1mM84AB8Fe","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.44.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.44.0"},{"first_patched_version":"1.107.6","vulnerable_version_range":"\u003e= 1.56.0, \u003c 1.107.6"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.44.0","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.44.0"},{"first_patched_version":"1.107.6","vulnerable_version_range":"\u003e= 1.56.0, \u003c 1.107.6"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS12bXhjLWgyeDItam1mM84AB8Fe/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS1oN3A3LXc1Z2MteGozd84ABin0","url":"https://github.com/advisories/GHSA-h7p7-w5gc-xj3w","title":"Pydantic AI: Unvalidated UploadedFile references in UI adapters allow server-side file access using the application's credentials","description":"### Summary\n\nA client that can submit message history to a Pydantic AI UI adapter can reference arbitrary files in the application's model-provider or cloud-storage account. The server forwards the reference to the model provider, which fetches it using the server's own credentials, allowing the client to read files it should not have access to.\n\n### Details\n\nUI adapters reconstruct file parts from client-submitted message history and forward them to the model provider. File **URL** parts are validated against a scheme allowlist before being forwarded, but `UploadedFile` references — which point to a file by provider file ID or cloud-storage URI (e.g. `s3://…`, `gs://…`) — were forwarded without validation.\n\nBecause the provider resolves an `UploadedFile` using the server-side identity (IAM role, service account, or provider API key) rather than the client's, a client that crafts message history containing an attacker-chosen `UploadedFile` can cause the server to read objects belonging to its own account or to other tenants, given a referenceable identifier.\n\n### Impact\n\nApplications that pass untrusted client-submitted message history to an agent through a UI adapter (such as the Vercel AI adapter). Exploitation requires the attacker to reference a valid file identifier; depending on how the application names objects, such identifiers are not always unguessable.\n\n### Patches\n\nUpgrade to `1.106.0` (1.x) or `2.0.0b6` (the 2.x beta line), which validate `UploadedFile` references on client-submitted messages the same way file URLs are validated.\n\n### Workarounds\n\nIf users cannot upgrade, do not pass untrusted client-submitted message history to the agent, or strip `UploadedFile` parts from incoming messages before running the agent.","origin":"UNSPECIFIED","severity":"MODERATE","published_at":"2026-08-13T14:16:26.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":6.8,"cvss_vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-h7p7-w5gc-xj3w","https://nvd.nist.gov/vuln/detail/CVE-2026-54249","https://github.com/pydantic/pydantic-ai/releases/tag/v1.106.0","https://github.com/pydantic/pydantic-ai/releases/tag/v2.0.0b6","https://github.com/advisories/GHSA-h7p7-w5gc-xj3w"],"source_kind":"github","identifiers":["GHSA-h7p7-w5gc-xj3w","CVE-2026-54249"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-08-13T15:00:07.943Z","updated_at":"2026-10-16T06:01:31.034Z","epss_percentage":0.00315,"epss_percentile":0.22523,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1oN3A3LXc1Z2MteGozd84ABin0","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS1oN3A3LXc1Z2MteGozd84ABin0","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.0.0b6","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.0.0b6"},{"first_patched_version":"1.106.0","vulnerable_version_range":"\u003e= 1.65.0, \u003c 1.106.0"}],"purl":"pkg:pypi/pydantic-ai"},{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.0.0b6","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.0.0b6"},{"first_patched_version":"1.106.0","vulnerable_version_range":"\u003e= 1.65.0, \u003c 1.106.0"}],"purl":"pkg:pypi/pydantic-ai-slim"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1oN3A3LXc1Z2MteGozd84ABin0/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS1jZzd3LXJnNDUtcGM1Oc4ABZnI","url":"https://github.com/advisories/GHSA-cg7w-rg45-pc59","title":"pydantic-ai: SSRF blocklist bypass via IPv4-compatible, SIIT/IVI, and local NAT64 IPv6 addresses (incomplete fix of CVE-2026-46678)","description":"## Summary\n\nWhen an application using Pydantic AI opts a URL into `force_download='allow-local'` (which disables the default block on private/internal IPs) **and runs on a network that routes the affected IPv6 transition forms (NAT64- or ISATAP-configured networks)**, the cloud-metadata blocklist could be bypassed by encoding the metadata IP in an IPv6 transition form that the previous fix did not decode — IPv4-compatible IPv6 (`::a.b.c.d`), the NAT64 RFC 8215 local-use prefix (`64:ff9b:1::/48`), operator-chosen NAT64 prefixes, or ISATAP. The IPv6 wrapper is then delivered to the underlying IPv4 metadata endpoint, exposing cloud IAM short-term credentials.\n\n**The bypass is exploitable only in environments whose network actually routes these forms** — NAT64-configured networks (IPv6-only or dual-stack-with-NAT64 deployments, including some Kubernetes setups) for the NAT64 variants, or networks with an ISATAP tunnel for ISATAP. A standard dual-stack cloud VM or container does not route them and is not affected in practice. The IPv4-compatible and Teredo variants are deprecated and addressed as defense-in-depth.\n\nThis is an incomplete fix of [GHSA-cqp8-fcvh-x7r3](https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-cqp8-fcvh-x7r3) / [CVE-2026-46678](https://nvd.nist.gov/vuln/detail/CVE-2026-46678) (itself a follow-up to [CVE-2026-25580](https://nvd.nist.gov/vuln/detail/CVE-2026-25580)). The prior remediation decoded only IPv4-mapped IPv6, 6to4, and the NAT64 well-known prefix; the metadata guarantee did not hold for the remaining transition forms.\n\n## Severity\n\n**MEDIUM** — `CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N` = **6.8**\n\nSame impact metrics and narrow attack surface as the parent advisory (AC:H): exploitation requires the application to have opted into `allow-local` on a URL influenced by untrusted input, and the NAT64/ISATAP variants additionally require the deployment network to route those forms.\n\n**CWE-918**: Server-Side Request Forgery (SSRF)\n\n## Affected Versions\n\n| Package | Vulnerable | Patched |\n|---|---|---|\n| `pydantic-ai` | `\u003e= 1.56.0, \u003c 1.102.0`; `\u003e= 2.0.0b1, \u003c 2.0.0b3` | `1.102.0`; `2.0.0b3` |\n| `pydantic-ai-slim` | `\u003e= 1.56.0, \u003c 1.102.0`; `\u003e= 2.0.0b1, \u003c 2.0.0b3` | `1.102.0`; `2.0.0b3` |\n\nThese transition forms have not been decoded since SSRF protection was introduced in `1.56.0`.\n\n## Who Is Affected\n\nUsers are affected **only if** their application explicitly opts a `FileUrl` (`ImageUrl`, `AudioUrl`, `VideoUrl`, `DocumentUrl`) into `force_download='allow-local'` on a URL that is, or could be, influenced by untrusted input.\n\nBeyond that precondition, the affected encodings only reach a metadata endpoint in environments whose network actually routes them. The broadly-routable IPv4-mapped form was addressed in `1.99.0` (CVE-2026-46678); the additional forms addressed here require a **NAT64-configured network** (IPv6-only or dual-stack-with-NAT64 deployments, including some Kubernetes setups) for the NAT64 variants, or an **ISATAP tunnel** for the ISATAP variant. The IPv4-compatible and Teredo forms are deprecated and not routed by modern stacks; they are addressed as defense-in-depth. Most deployments on a standard dual-stack cloud VM or container are therefore not exploitable in practice, but the fix restores the \"always blocked\" guarantee for the environments that are.\n\nUsers are **not** affected if they use any of the bundled integrations to ingest user input, because they do not propagate `force_download` from external data:\n\n- `Agent.to_web` / `clai web`\n- `VercelAIAdapter`\n- `AGUIAdapter` / `Agent.to_ag_ui`\n\nApplications that only download from developer-controlled URLs are not affected.\n\n## Remediation\n\nUpgrade to `1.102.0` or later (or `2.0.0b3` or later on the 2.0 pre-release line). The cloud-metadata and private-IP blocklists now decode the embedded IPv4 of every standardized IPv6 transition form before evaluating it — IPv4-mapped, IPv4-compatible, 6to4, NAT64 across all prefix lengths (including the RFC 8215 local-use prefix and operator-chosen prefixes), ISATAP, and Teredo. The set of always-blocked cloud metadata/credential endpoints has also been expanded across providers.\n\n## Workaround for Unpatched Versions\n\nAvoid passing `force_download='allow-local'` on any URL that could be influenced by untrusted input. If developers must, resolve the hostname themselves and validate the result against their own metadata blocklist — including IPv6 transition forms — before constructing the `FileUrl`.\n\n## Credits\n\nReported by [@SnailSploit](https://snailsploit.com).","origin":"UNSPECIFIED","severity":"MODERATE","published_at":"2026-06-26T19:17:56.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":6.8,"cvss_vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-cg7w-rg45-pc59","https://nvd.nist.gov/vuln/detail/CVE-2026-48782","https://github.com/pydantic/pydantic-ai/pull/5596","https://github.com/pydantic/pydantic-ai/commit/1add06179ba4de259f7ab977620b697b7209f7e4","https://github.com/pydantic/pydantic-ai/releases/tag/v1.102.0","https://github.com/advisories/GHSA-cg7w-rg45-pc59"],"source_kind":"github","identifiers":["GHSA-cg7w-rg45-pc59","CVE-2026-48782"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-06-26T20:00:07.807Z","updated_at":"2026-10-16T21:03:35.458Z","epss_percentage":0.00417,"epss_percentile":0.33524,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1jZzd3LXJnNDUtcGM1Oc4ABZnI","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS1jZzd3LXJnNDUtcGM1Oc4ABZnI","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"2.0.0b3","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.0.0b3"},{"first_patched_version":"1.102.0","vulnerable_version_range":"\u003e= 1.56.0, \u003c 1.102.0"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"2.0.0b3","vulnerable_version_range":"\u003e= 2.0.0b1, \u003c 2.0.0b3"},{"first_patched_version":"1.102.0","vulnerable_version_range":"\u003e= 1.56.0, \u003c 1.102.0"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1jZzd3LXJnNDUtcGM1Oc4ABZnI/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS1jcXA4LWZjdmgteDdyM84ABXO6","url":"https://github.com/advisories/GHSA-cqp8-fcvh-x7r3","title":"Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv4-mapped IPv6 (Incomplete fix of CVE-2026-25580)","description":"## Summary\n\nWhen an application using Pydantic AI opts a URL into `force_download='allow-local'` (which disables the default block on private/internal IPs), the cloud-metadata blocklist could be bypassed by encoding the metadata IP in an IPv6 transition form (IPv4-mapped IPv6, 6to4, or NAT64). Dual-stack and translated networks route the IPv6 wrapper to the underlying IPv4 endpoint, exposing cloud IAM short-term credentials.\n\nThis is an incomplete fix of [GHSA-2jrp-274c-jhv3](https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-2jrp-274c-jhv3) / [CVE-2026-25580](https://nvd.nist.gov/vuln/detail/CVE-2026-25580). The parent advisory's remediation guaranteed that \"cloud metadata endpoints are always blocked, even with `allow-local`.\" That guarantee did not hold for IPv6-encoded forms of the metadata IPs.\n\n## Severity\n\nSame impact metrics as the parent CVE, but materially narrower attack surface (AC:H instead of AC:L), because exploitation requires the application to have opted into `allow-local` on a URL influenced by untrusted input.\n\n## Who Is Affected\n\nApplications are affected **only if** they explicitly opt for `FileUrl` (`ImageUrl`, `AudioUrl`, `VideoUrl`, `DocumentUrl`) into `force_download='allow-local'` on a URL that is, or could be, influenced by untrusted input.\n\nApplications are **not** affected if they use any of the bundled integrations to ingest user input, because they do not propagate `force_download` from external data:\n\n- `Agent.to_web` / `clai web`\n- `VercelAIAdapter`\n- `AGUIAdapter` / `Agent.to_ag_ui`\n\nApplications that only download from developer-controlled URLs are not affected.\n\n## Remediation\n\nUpgrade to `1.99.0` or later. The cloud-metadata and private-IP blocklists now apply to IPv6 transition forms that route to a blocked IPv4 endpoint (IPv4-mapped IPv6, 6to4, and NAT64 well-known prefix). The blocklists have also been extended to cover additional IANA-reserved IPv4 and IPv6 special-purpose ranges.\n\n## Workaround for Unpatched Versions\n\nAvoid passing `force_download='allow-local'` on any URL that could be influenced by untrusted input. If developers must, resolve the hostname themselves and validate the result against their own metadata blocklist — including IPv6-encoded forms — before constructing the `FileUrl`.\n\n## Credits\n\nReported by [j0hndo](mailto:dohyun4466@gmail.com).","origin":"UNSPECIFIED","severity":"MODERATE","published_at":"2026-05-21T21:35:18.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":6.8,"cvss_vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-2jrp-274c-jhv3","https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-cqp8-fcvh-x7r3","https://github.com/advisories/GHSA-cqp8-fcvh-x7r3"],"source_kind":"github","identifiers":["GHSA-cqp8-fcvh-x7r3","CVE-2026-46678"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-05-21T22:00:08.306Z","updated_at":"2026-10-16T06:03:15.268Z","epss_percentage":0.0038,"epss_percentile":0.2955,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1jcXA4LWZjdmgteDdyM84ABXO6","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS1jcXA4LWZjdmgteDdyM84ABXO6","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"1.99.0","vulnerable_version_range":"\u003e= 1.56.0, \u003c 1.99.0"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"1.99.0","vulnerable_version_range":"\u003e= 1.56.0, \u003c 1.99.0"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1jcXA4LWZjdmgteDdyM84ABXO6/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS13anA1LTg2OGotd3F2N84ABSCw","url":"https://github.com/advisories/GHSA-wjp5-868j-wqv7","title":"Pydantic AI has Stored XSS via Path Traversal in Web UI CDN URL","description":"## Summary\n\nA Path Traversal vulnerability in the [Pydantic AI web UI](https://ai.pydantic.dev/web/) allows an attacker to serve arbitrary JavaScript in the context of the application by crafting a malicious URL. If a victim clicks the link or visits it via an iframe, attacker-controlled code executes in their browser, enabling theft of chat history and other client-side data.\n\n**This vulnerability only affects applications that use:**\n- **`Agent.to_web`** to serve a chat interface\n- **`clai web`** to serve a chat interface from the CLI\n\nThese are typically run locally (on `localhost`), but may also be deployed on a remote server.\n\n### Description\n\nThe web UI serves its frontend HTML by fetching it from a CDN. In affected versions, the CDN URL is constructed using a `version` query parameter from the request URL. This parameter is not validated, allowing path traversal sequences that cause the server to fetch and serve attacker-controlled HTML/JavaScript from an arbitrary source on the same CDN, instead of the legitimate chat UI package.\n\n### Who Is Affected\n\nProjects are affected if your application uses `Agent.to_web` or `clai web` to serve the Pydantic AI chat interface.\n\n### Attack Scenario\n\n1. An attacker crafts a URL pointing to the victim's Pydantic AI web UI instance (either `localhost` with the known port, or a remote server endpoint) with a malicious `version` query parameter containing path traversal sequences.\n\n2. The attacker gets the victim to visit this URL — directly via a link, through a redirect, or by embedding it in an iframe.\n\n3. When the victim's browser loads the page, the server fetches and serves attacker-controlled HTML/JavaScript instead of the legitimate chat UI.\n\n4. The attacker's JavaScript executes in the victim's browser in the context of the Pydantic AI web application, with access to:\n   - **Chat history** stored in `localStorage` (all user messages and AI responses)\n   - **Session cookies** that are not set as `HttpOnly`, if authentication middleware is configured\n\n## Remediation\n\n### Upgrade to Patched Version\n\n**Upgrade** to the patched version or later. The fix removes the user-controllable `version` parameter entirely. The CDN URL is now hardcoded at startup and cannot be influenced by request parameters.\n\nA new `html_source` parameter is available on `Agent.to_web` and `create_web_app` for applications that need to customize the UI source (e.g., for enterprise environments, offline usage, or custom UI builds). This parameter is only settable in application code, not via query parameters.","origin":"UNSPECIFIED","severity":"HIGH","published_at":"2026-02-06T18:51:57.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":7.1,"cvss_vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:N","references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-wjp5-868j-wqv7","https://nvd.nist.gov/vuln/detail/CVE-2026-25640","https://github.com/pydantic/pydantic-ai/releases/tag/v1.51.0","https://github.com/advisories/GHSA-wjp5-868j-wqv7"],"source_kind":"github","identifiers":["GHSA-wjp5-868j-wqv7","CVE-2026-25640"],"repository_url":null,"blast_radius":0.0,"created_at":"2026-02-06T19:00:08.072Z","updated_at":"2026-10-16T06:05:36.610Z","epss_percentage":0.00462,"epss_percentile":0.38525,"api_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS13anA1LTg2OGotd3F2N84ABSCw","html_url":"https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS13anA1LTg2OGotd3F2N84ABSCw","packages":[{"ecosystem":"pypi","package_name":"pydantic-ai-slim","versions":[{"first_patched_version":"1.51.0","vulnerable_version_range":"\u003e= 1.34.0, \u003c 1.51.0"}],"purl":"pkg:pypi/pydantic-ai-slim"},{"ecosystem":"pypi","package_name":"pydantic-ai","versions":[{"first_patched_version":"1.51.0","vulnerable_version_range":"\u003e= 1.34.0, \u003c 1.51.0"}],"purl":"pkg:pypi/pydantic-ai"}],"related_packages_url":"https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS13anA1LTg2OGotd3F2N84ABSCw/related_packages","related_advisories":[]},{"uuid":"GSA_kwCzR0hTQS0yanJwLTI3NGMtamh2M84ABSCt","url":"https://github.com/advisories/GHSA-2jrp-274c-jhv3","title":"Pydantic AI has Server-Side Request Forgery (SSRF) in URL Download Handling","description":"## Summary\n\nA Server-Side Request Forgery (SSRF) vulnerability exists in Pydantic AI's URL download functionality. When applications accept message history from untrusted sources, attackers can include malicious URLs that cause the server to make HTTP requests to internal network resources, potentially accessing internal services or cloud credentials.\n\n**This vulnerability only affects applications that accept message history from external users**, such as those using:\n- **`Agent.to_web`** or **`clai web`** to serve a chat interface\n- **`VercelAIAdapter`** for Vercel AI SDK integration\n- **`AGUIAdapter`** or **`Agent.to_ag_ui`** for AG-UI protocol integration\n- Custom APIs that accept message history from user input\n\nApplications that only use hardcoded or developer-controlled URLs are not affected.\n\n### Description\n\nThe `download_item()` helper function downloads content from URLs without validating that the target is a public internet address. When user-supplied message history contains URLs, attackers can:\n\n1. **Access internal services**: Request `http://127.0.0.1`, `localhost`, or private IP ranges (`10.x.x.x`, `172.16.x.x`, `192.168.x.x`)\n2. **Steal cloud credentials**: Access cloud metadata endpoints (AWS IMDSv1 at `169.254.169.254`, GCP, Azure, Alibaba Cloud)\n3. **Scan internal networks**: Enumerate internal hosts and ports\n\n### Who Is Affected\n\nYou are affected if your application:\n\n1. **Uses `Agent.to_web` or `clai web`** - The web interface accepts file attachments via the Vercel AI Data Stream Protocol, where users can provide arbitrary URLs through chat messages.\n\n2. **Uses `VercelAIAdapter`** - Chat interfaces built with Vercel AI SDK allow users to submit messages containing URLs that are processed server-side.\n\n3. **Uses `AGUIAdapter` or `Agent.to_ag_ui`** - The AG-UI protocol allows users to provide file references with URLs as part of agent interactions.\n\n4. **Exposes a custom API accepting message history** - Any endpoint that accepts message history or `ImageUrl`, `AudioUrl`, `VideoUrl`, `DocumentUrl` objects from user input.\n\n### Attack Scenario\n\nVia chat interface, an attacker submits a message with a file attachment pointing to an internal resource:\n```json\n{\n  \"role\": \"user\",\n  \"parts\": [\n    {\"type\": \"file\", \"mediaType\": \"image/png\", \"url\": \"http://169.254.169.254/latest/meta-data/iam/security-credentials/\"}\n  ]\n}\n```\n\n### Affected Model Integrations\n\nMultiple model integrations download URL content in certain conditions:\n\n| Provider | Downloaded Types |\n|----------|------------------|\n| `OpenAIChatModel` | `AudioUrl`, `DocumentUrl` |\n| `AnthropicModel` | `DocumentUrl` (`text/plain`) |\n| `GoogleModel` (GLA) | All URL types (except YouTube and Files API URLs) |\n| `XaiModel` | `DocumentUrl` |\n| `BedrockConverseModel` | `ImageUrl`, `DocumentUrl`, `VideoUrl` (non-S3 URLs) |\n| `OpenRouterModel` | `AudioUrl` |\n\n## Remediation\n\n### Upgrade to Patched Version\n\n**Upgrade** to the patched version or later. The fix adds comprehensive SSRF protection:\n\n- Blocks private/internal IP addresses by default\n- Always blocks cloud metadata endpoints (even with `allow-local`)\n- Only allows `http://` and `https://` protocols\n- Resolves hostnames before requests to prevent DNS rebinding\n- Validates each redirect target\n\n### New `force_download='allow-local'` Option\n\nIf an application legitimately needs to access local/private network resources (e.g., in a fully trusted internal environment), it can explicitly opt in:\n\n```python\nfrom pydantic_ai import ImageUrl\n\n# Default behavior: private IPs are blocked\nImageUrl(url=\"http://internal-service/image.png\")  # Raises ValueError\n\n# Opt-in to allow local access (use with caution)\nImageUrl(url=\"http://internal-service/image.png\", force_download='allow-local')\n```\n\n**Important**: Cloud metadata endpoints (`169.254.169.254`, `fd00:ec2::254`, `100.100.100.200`) are **always blocked**, even with `allow-local`.\n\n### Workaround for Older Versions\n\nIf a project cannot upgrade immediately, use a [history processor](https://ai.pydantic.dev/message-history/#processing-message-history) to filter out URLs targeting local/private addresses:\n\n```python\nimport ipaddress\nimport socket\nfrom urllib.parse import urlparse\n\nfrom pydantic_ai import Agent, ModelMessage, ModelRequest\nfrom pydantic_ai.messages import AudioUrl, DocumentUrl, ImageUrl, VideoUrl\n\ndef is_private_url(url: str) -\u003e bool:\n    \"\"\"Check if a URL targets a private/internal IP address.\"\"\"\n    try:\n        parsed = urlparse(url)\n        hostname = parsed.hostname\n        if not hostname:\n            return True  # Invalid URL, block it\n\n        # Resolve hostname to IP\n        ip_str = socket.gethostbyname(hostname)\n        ip = ipaddress.ip_address(ip_str)\n\n        # Block private, loopback, and link-local addresses\n        return ip.is_private or ip.is_loopback or ip.is_link_local\n    except (socket.gaierror, ValueError):\n 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