CVE-2026-107287

{"id": "CVE-2026-107287", "cveTags": [], "metrics": {"ssvcV203": [{"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "ssvcData": {"id": "CVE-2026-107287", "role": "CISA Coordinator", "options": [{"exploitation": "none"}, {"automatable": "no"}, {"technicalImpact": "partial"}], "version": "2.0.3", "timestamp": "2026-10-14T00:58:47.200664Z"}}], "cvssMetricV31": [{"type": "Secondary", "source": "security-advisories@github.com", "cvssData": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 6.5, "attackVector": "NETWORK", "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H", "integrityImpact": "NONE", "userInteraction": "REQUIRED", "attackComplexity": "LOW", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "NONE"}, "impactScore": 3.6, "exploitabilityScore": 2.8}]}, "affected": [{"source": "security-advisories@github.com", "affectedData": [{"vendor": "pydantic", "product": "pydantic-ai", "versions": [{"status": "affected", "version": ">= 1.77.0, < 1.107.7"}, {"status": "affected", "version": ">= 2.0.0b1, < 2.52.0"}]}, {"vendor": "pydantic", "product": "pydantic-ai-slim", "versions": [{"status": "affected", "version": ">= 1.77.0, < 1.107.7"}, {"status": "affected", "version": ">= 2.0.0b1, < 2.52.0"}]}]}], "published": "2026-10-08T16:17:03.973", "references": [{"url": "https://github.com/pydantic/pydantic-ai/commit/2b247add4950bef61d352e7ca8aefbd20539180c", "tags": ["Patch"], "source": "security-advisories@github.com"}, {"url": "https://github.com/pydantic/pydantic-ai/commit/2fd38792693da00a3ca5412aeffb436787af3545", "tags": ["Patch"], "source": "security-advisories@github.com"}, {"url": "https://github.com/pydantic/pydantic-ai/pull/8984", "tags": ["Patch", "Vendor Advisory"], "source": "security-advisories@github.com"}, {"url": "https://github.com/pydantic/pydantic-ai/pull/8985", "tags": ["Patch", "Vendor Advisory"], "source": "security-advisories@github.com"}, {"url": "https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.7", "tags": ["Patch", "Release Notes", "Vendor Advisory"], "source": "security-advisories@github.com"}, {"url": "https://github.com/pydantic/pydantic-ai/releases/tag/v2.52.0", "tags": ["Patch", "Release Notes", "Vendor Advisory"], "source": "security-advisories@github.com"}, {"url": "https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-v36g-jcw9-x7cw", "tags": ["Vendor Advisory"], "source": "security-advisories@github.com"}], "vulnStatus": "Analyzed", "weaknesses": [{"type": "Secondary", "source": "security-advisories@github.com", "description": [{"lang": "en", "value": "CWE-400"}, {"lang": "en", "value": "CWE-407"}]}], "descriptions": [{"lang": "en", "value": "Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.7 and 2.52.0, the local web_fetch_tool and the WebFetch local fallback can consume excessive CPU and memory during HTML-to-Markdown conversion of attacker-controlled HTML containing deeply nested block elements. Conversion repeatedly reprocesses accumulated text and can greatly expand intermediate output before the returned-content limit is applied, allowing a model-directed fetch to delay other work in the process. Provider-native web fetching is not affected. This issue is fixed in versions 1.107.7 and 2.52.0."}], "lastModified": "2026-10-14T01:17:04.887", "configurations": [{"nodes": [{"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:a:pydantic:pydantic_ai:*:*:*:*:*:python:*:*", "vulnerable": true, "matchCriteriaId": "FF3E6D2A-5751-433C-8415-AE070B5FFF87", "versionEndExcluding": "1.107.7", "versionStartIncluding": "1.77.0"}, {"criteria": "cpe:2.3:a:pydantic:pydantic_ai:*:-:*:*:*:python:*:*", "vulnerable": true, "matchCriteriaId": "3385037B-7B85-456F-972A-205F60EB51A2", "versionEndExcluding": "2.52.0", "versionStartIncluding": "2.0.0"}], "operator": "OR"}]}], "sourceIdentifier": "security-advisories@github.com"}