CVE-2026-107286

Published: Ott 08, 2026 Last Modified: Ott 08, 2026
ExploitDB:
Other exploit source:
Google Dorks:
HIGH 7,5
Attack Vector: network
Attack Complexity: low
Privileges Required: none
User Interaction: none
Scope: unchanged
Confidentiality: none
Integrity: none
Availability: high

Description

AI Translation Available

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.

772

Missing Release of Resource after Effective Lifetime

Draft
Common Consequences
Security Scopes Affected:
Availability
Potential Impacts:
Dos: Resource Consumption (Other) Dos: Resource Consumption (Memory) Dos: Resource Consumption (Cpu)
Applicable Platforms
Technologies: Mobile
View CWE Details
https://github.com/pydantic/pydantic-ai/commit/453f19feeb7ab1d789f9393b1723c6a7…
https://github.com/pydantic/pydantic-ai/pull/9478
https://github.com/pydantic/pydantic-ai/releases/tag/v2.53.0
https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-6fqq-452j-qhrp