CVE-2026-107286
Published:October 08, 2026
Updated:October 09, 2026
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 Packages
pydantic-ai-slim (CONDA):
Affected version(s) >=2.10.0 <2.53.0Fix Suggestion:
Update to version 2.53.0pydantic-ai (CONDA):
Affected version(s) >=2.10.0 <2.53.0Fix Suggestion:
Update to version 2.53.0https://github.com/pydantic/pydantic-ai.git (GITHUB):
Affected version(s) >=v2.10.0 <v2.53.0Fix Suggestion:
Update to version v2.53.0pydantic-ai-slim (PYTHON):
Affected version(s) >=2.10.0 <2.53.0Fix Suggestion:
Update to version 2.53.0pydantic-ai (PYTHON):
Affected version(s) >=2.10.0 <2.53.0Fix Suggestion:
Update to version 2.53.0Related Resources (7)
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Contact UsCVSS v4
Base Score:
8.7
Attack Vector
NETWORK
Attack Complexity
LOW
Attack Requirements
NONE
Privileges Required
NONE
User Interaction
NONE
Vulnerable System Confidentiality
NONE
Vulnerable System Integrity
NONE
Vulnerable System Availability
HIGH
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
7.5
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
NONE
Integrity
NONE
Availability
HIGH
Weakness Type (CWE)
Missing Release of Resource after Effective Lifetime