Pydantic AI: Concurrency-limited models can keep their slot when a streamed request ends early
Summary
| CVE | CVE-2026-107286 |
|---|---|
| State | PUBLISHED |
| Assigner | GitHub_M |
| Source Priority | CVE Program / NVD first with legacy fallback |
| Published | 2026-10-08 15:17:40 UTC |
| Updated | 2026-10-08 18:17:16 UTC |
| Description | 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. |
Risk And Classification
Primary CVSS: v3.1 7.5 HIGH from [email protected]
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Problem Types: CWE-772 | CWE-772 CWE-772: Missing Release of Resource after Effective Lifetime
| Version | Source | Type | Score | Severity | Vector |
|---|---|---|---|---|---|
| 3.1 | [email protected] | Secondary | 7.5 | HIGH | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
| 3.1 | CNA | DECLARED | 7.5 | HIGH | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
CVSS v3.1 Breakdown
Attack Vector
NetworkAttack Complexity
LowPrivileges Required
NoneUser Interaction
NoneScope
UnchangedConfidentiality
NoneIntegrity
NoneAvailability
HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Vendor Declared Affected Products
| Source | Vendor | Product | Version | Platforms |
|---|---|---|---|---|
| CNA | Pydantic | Pydantic-ai | affected >= 2.10.0, < 2.53.0 | Not specified |
| CNA | Pydantic | Pydantic-ai-slim | affected >= 2.10.0, < 2.53.0 | Not specified |
References
| Reference | Source | Link | Tags |
|---|---|---|---|
| github.com/pydantic/pydantic-ai/security/advisories/GHSA-6fqq-452j-qhrp | [email protected] | github.com | |
| github.com/pydantic/pydantic-ai/releases/tag/v2.53.0 | [email protected] | github.com | |
| github.com/pydantic/pydantic-ai/commit/453f19feeb7ab1d789f9393b1723c6a73... | [email protected] | github.com | |
| github.com/pydantic/pydantic-ai/pull/9478 | [email protected] | github.com | |
| CVE Program record | CVE.ORG | www.cve.org | canonical |
| NVD vulnerability detail | NVD | nvd.nist.gov | canonical, analysis |
No vendor comments have been submitted for this CVE.
There are currently no legacy QID mappings associated with this CVE.