Description (CNA)
Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 2.10.0 until 2.53.0, streamed requests made through ConcurrencyLimitedModel or limit_model_concurrency can retain shared concurrency slots because anyio.CapacityLimiter associates an acquired slot with the borrowing task while streaming cleanup can run in a different task. Early stream termination, cancellation, consumer exceptions, or complete stream_text() consumption with debounce_by=0.1 can therefore leave capacity occupied, eventually preventing later requests that share the long-lived limiter from proceeding and causing a denial of service. Agent-level max_concurrency and non-streaming model requests are not affected. This issue is fixed in version 2.53.0.
Affected (CNA)
| Vendor / product | Versions |
|---|---|
| pydantic / pydantic-ai | affected >= 2.10.0, < 2.53.0 |
| pydantic / pydantic-ai-slim | affected >= 2.10.0, < 2.53.0 |
CWE
CWE-772
References
- https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-6fqq-452j-qhrp
- 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
ADP enrichment
No English description supplied.
No references supplied.