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CVE-2026-107287.

Source-reported disclosure and enrichment record.

SEVERITY / CVSSMEDIUM / 6.5CVSS 3.1 · security-advisories@github.com
EXPLOITATION STATUSNot listed in the cached KEV catalogThis does not establish absence of exploitation.
RECORD STATUSUndergoing AnalysisModified Oct 08, 2026

Disclosure summary

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.

Source-reported weakness categories

CWE-400, CWE-407

Source-specific records & product guidance

Sources retain their own attribution and scoring. Follow the original record to confirm affected versions, fixed releases, and configuration conditions.

NIST National Vulnerability Database · NVD-CVE-2026-107287

Open original source · Updated Oct 08, 2026

Only CPE matches marked vulnerable=true are indexed. AND/OR platform conditions must be checked in the original NVD record.

GitHub Reviewed Security Advisories · GHSA-v36g-jcw9-x7cw

Open original source · Updated Oct 08, 2026

Pydantic AI: Excessive resource use when local web fetching converts nested HTML

Source severity: MEDIUM / 0

EcosystemPackageAffected rangeFirst patched
pippydantic-ai>= 1.77.0, < 1.107.71.107.7
pippydantic-ai>= 2.0.0b1, < 2.52.02.52.0
pippydantic-ai-slim>= 1.77.0, < 1.107.71.107.7
pippydantic-ai-slim>= 2.0.0b1, < 2.52.02.52.0

Original records & references

PUBLISHED 2026-10-08T12:17:03-04:00
MODIFIED 2026-10-08T17:05:00-04:00
INGESTED 2026-10-10T20:55:03-04:00