Pydantic AI: Excessive resource use when local web fetching converts nested HTML
- Published
- Last modified
- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean? →
- published
- Whether CISA lists it in its Known Exploited Vulnerabilities catalog: proof that attackers are using it.What do these mean? →
- Not listed in CISA KEV
- Fix
- Fixed in 1.107.7, 2.52.0
- Whether working attack code is public (Exploit-DB, Metasploit, Nuclei or GitHub). Public code makes attacks easier.What do these mean? →
- None on Exploit-DB, Metasploit or GitHub
- Exploitation: none
- Automatable: no
- Technical impact: partial
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.
Timeline
- CVE published
- CISA SSVC assessment
Exploitation: none · Automatable: no · Technical impact: partial
- Record last updated
Affected versions
- pydantic pydantic-ai
From 1.77.0 · fixed in 1.107.7; From 2.0.0b1 · fixed in 2.52.0
- pydantic pydantic-ai-slim
From 1.77.0 · fixed in 1.107.7; From 2.0.0b1 · fixed in 2.52.0
- pydantic-aiPyPI
From 1.77.0 · fixed in 1.107.7
- pydantic-aiPyPI
From 2.0.0b1 · fixed in 2.52.0
- pydantic-ai-slimPyPI
From 1.77.0 · fixed in 1.107.7
- pydantic-ai-slimPyPI
From 2.0.0b1 · fixed in 2.52.0
- pydantic-aiPyPI
From 1.77.0 · fixed in 1.107.7; From 2.0.0b1 · fixed in 2.52.0
- pydantic-ai-slimPyPI
From 1.77.0 · fixed in 1.107.7; From 2.0.0b1 · fixed in 2.52.0