CVE-2026-107287
6.5
Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
Exploitability: 2.8 / Impact: 3.6
Source: security-advisories@github.com (Secondary)
Description
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.
Affected (2)
Products: Pydantic: Pydantic Ai
Configuration A
| Vulnerable Software | Affected Versions |
|---|---|
| From 1.77.0 to 1.107.7 |
Related CWEs
CWE-400
Uncontrolled Resource Consumption
The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources.
CWE-407
Inefficient Algorithmic Complexity
An algorithm in a product has an inefficient worst-case computational complexity that may be detrimental to system performance and can be triggered by an attacker, typically using crafted manipulations that ensure that the worst case is being reached.
References (7)
Source: security-advisories@github.com
Patch
Source: security-advisories@github.com
Patch
Source: security-advisories@github.com
PatchVendor Advisory
Source: security-advisories@github.com
PatchVendor Advisory
Source: security-advisories@github.com
PatchRelease NotesVendor Advisory
Source: security-advisories@github.com
PatchRelease NotesVendor Advisory
Source: security-advisories@github.com
Vendor Advisory
Timeline
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