Bug 2508669 (CVE-2026-54249) - CVE-2026-54249 pydantic-ai: Pydantic AI: Information disclosure through unvalidated file references.
Summary: CVE-2026-54249 pydantic-ai: Pydantic AI: Information disclosure through unval...
Keywords:
Status: NEW
Alias: CVE-2026-54249
Product: Security Response
Classification: Other
Component: vulnerability
Version: unspecified
Hardware: All
OS: Linux
medium
medium
Target Milestone: ---
Assignee: Product Security DevOps Team
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Depends On:
Blocks:
TreeView+ depends on / blocked
 
Reported: 2026-07-29 21:01 UTC by OSIDB Bzimport
Modified: 2026-07-30 14:44 UTC (History)
7 users (show)

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Description OSIDB Bzimport 2026-07-29 21:01:24 UTC
Pydantic AI is a Python agent framework for building Generative AI applications. In versions 1.65.0 through 1.105.0, and 2.0.0b1 through 2.0.0b5, a client that submits message history to a Pydantic AI UI adapter (such as the Vercel AI adapter) can reference arbitrary files in the application's model-provider or cloud-storage account. While file URL parts are validated against a scheme allowlist, UploadedFile references — which point to a file by provider file ID or cloud-storage URI (e.g. s3://…, gs://…) — were forwarded without validation. Because the provider resolves an UploadedFile using the server-side identity (IAM role, service account, or provider API key) rather than the client's, an attacker can craft message history to make the server read objects from its own account or other tenants, given a referenceable identifier. Exploitation requires a valid file identifier, which is not always unguessable depending on how the application names objects. This issue has been fixed in versions 1.106.0 and 2.0.0b6.


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