CVE-2026-107286

{"id": "CVE-2026-107286", "cveTags": [], "metrics": {"ssvcV203": [{"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "ssvcData": {"id": "CVE-2026-107286", "role": "CISA Coordinator", "options": [{"exploitation": "none"}, {"automatable": "yes"}, {"technicalImpact": "partial"}], "version": "2.0.3", "timestamp": "2026-10-08T17:26:50.651820Z"}}], "cvssMetricV31": [{"type": "Secondary", "source": "security-advisories@github.com", "cvssData": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 7.5, "attackVector": "NETWORK", "baseSeverity": "HIGH", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "integrityImpact": "NONE", "userInteraction": "NONE", "attackComplexity": "LOW", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "NONE"}, "impactScore": 3.6, "exploitabilityScore": 3.9}]}, "affected": [{"source": "security-advisories@github.com", "affectedData": [{"vendor": "pydantic", "product": "pydantic-ai", "versions": [{"status": "affected", "version": ">= 2.10.0, < 2.53.0"}]}, {"vendor": "pydantic", "product": "pydantic-ai-slim", "versions": [{"status": "affected", "version": ">= 2.10.0, < 2.53.0"}]}]}], "published": "2026-10-08T15:17:40.753", "references": [{"url": "https://github.com/pydantic/pydantic-ai/commit/453f19feeb7ab1d789f9393b1723c6a73b3d77b2", "tags": ["Patch"], "source": "security-advisories@github.com"}, {"url": "https://github.com/pydantic/pydantic-ai/pull/9478", "tags": ["Patch", "Vendor Advisory"], "source": "security-advisories@github.com"}, {"url": "https://github.com/pydantic/pydantic-ai/releases/tag/v2.53.0", "tags": ["Patch", "Release Notes", "Vendor Advisory"], "source": "security-advisories@github.com"}, {"url": "https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-6fqq-452j-qhrp", "tags": ["Mitigation", "Vendor Advisory"], "source": "security-advisories@github.com"}], "vulnStatus": "Analyzed", "weaknesses": [{"type": "Secondary", "source": "security-advisories@github.com", "description": [{"lang": "en", "value": "CWE-772"}]}], "descriptions": [{"lang": "en", "value": "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."}], "lastModified": "2026-10-13T14:36:51.687", "configurations": [{"nodes": [{"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:a:pydantic:pydantic_ai:*:-:*:*:*:python:*:*", "vulnerable": true, "matchCriteriaId": "6A10FF61-78E8-4427-85E4-B63DE2C32EB2", "versionEndExcluding": "2.53.0", "versionStartIncluding": "2.10.0"}], "operator": "OR"}]}], "sourceIdentifier": "security-advisories@github.com"}