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.
Attack Parameters
Attack Vector
Network
Can be exploited remotely
Attack Complexity
Low
Easy to exploit
Privileges Required
Low
Basic privileges needed
User Interaction
None
No user interaction needed
Impact Assessment
Confidentiality
None
No data leak
Integrity
None
No data modification
Availability
High
Complete denial of service
CVSS Vector v3.1
Weakness Type (CWE)
References 7
https://github.com/pydantic/pydantic-ai/commit/7a64d049c3f5271a975cd1d64b2fa876…
security-advisories@github.com
https://github.com/pydantic/pydantic-ai/commit/e3824a58c82864ed26afb2887619834a…
security-advisories@github.com
https://github.com/pydantic/pydantic-ai/pull/7141
security-advisories@github.com
https://github.com/pydantic/pydantic-ai/pull/7308
security-advisories@github.com
https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.2
security-advisories@github.com
https://github.com/pydantic/pydantic-ai/releases/tag/v2.24.0
security-advisories@github.com
https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-v2xh-2vp8-57h8
security-advisories@github.com