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Tracking
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| Source | ID | Title |
|---|---|---|
Github GHSA |
GHSA-v2xh-2vp8-57h8 | Pydantic AI: Unbounded memory use when downloading remote content via web_fetch or FileUrl |
Thu, 08 Oct 2026 17:15:00 +0000
| Type | Values Removed | Values Added |
|---|---|---|
| Description | Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.2 and 2.24.0, web_fetch_tool, the WebFetch local fallback, and remote FileUrl media downloads buffer the complete HTTP response body before enforcing content-size controls. An attacker-influenced URL can stream an arbitrarily large response that exhausts process memory and crashes the worker; affected media types include ImageUrl, DocumentUrl, VideoUrl, and AudioUrl. SSRF protections remain effective, and the impact is limited to availability. This issue is fixed in versions 1.107.2 and 2.24.0. | |
| Title | Pydantic AI: Unbounded memory use when downloading remote content via web_fetch or FileUrl | |
| Weaknesses | CWE-400 | |
| References |
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| Metrics |
cvssV3_1
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Subscriptions
No data.
Status: PUBLISHED
Assigner: GitHub_M
Published:
Updated: 2026-10-08T16:59:25.246Z
Reserved: 2026-10-07T15:53:23.586Z
Link: CVE-2026-107294
No data.
Status : Received
Published: 2026-10-08T17:17:15.080
Modified: 2026-10-08T17:17:15.080
Link: CVE-2026-107294
No data.
OpenCVE Enrichment
Updated: 2026-10-08T19:00:07Z

Github GHSA