CVE Catalog

CVE-2026-54249

MediumCVSS 6.8
Published: Updated: Translated: NVD NIST

Exploitation Probability (EPSS)

Low risk
0.20%

10th percentile - higher than 10% of all known CVEs

Summary

In Pydantic AI before versions 1.106.0 and 2.0.0b6, the UI adapter (e.g., Vercel AI) does not validate UploadedFile references. A client can reference arbitrary files in the model provider or cloud storage account using server-side identity, potentially leading to unauthorized data access.

Risk Assessment

The risk is unauthorized file read from cloud or provider accounts using server identity, potentially leading to data leakage or cross-tenant access.

Recommendation

Update Pydantic AI to version 1.106.0 or 2.0.0b6.

Other vulnerabilities in Pydantic AI

See all
Original NVD description (English source)

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.

Vulnerability data from NVD (NIST) · CISA KEV · EPSS