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GHSA-v36g-jcw9-x7cw

Pydantic AI: Excessive resource use when local web fetching converts nested HTML

Source: GitHub Advisory Database (reviewed) Moderate CVE-2026-107287

Packages

EcosystemPackageAffectedFixed in
PyPI pydantic-ai >= 1.77.0, < 1.107.7 1.107.7
PyPI pydantic-ai >= 2.0.0b1, < 2.52.0 2.52.0
PyPI pydantic-ai-slim >= 1.77.0, < 1.107.7 1.107.7
PyPI pydantic-ai-slim >= 2.0.0b1, < 2.52.0 2.52.0

Details

As written in the advisory (Markdown source, shown as plain text).

### Summary Applications 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. ### Details Nested 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. ### Mitigation Upgrade 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.

References

External links from the advisory. They lead to third-party sites.