CVE-2026-54249— pydantic-ai 服务端请求伪造漏洞

VercelAIAdapter trusts client-controlled `providerMetadata` to construct `UploadedFile` — S3/GCS confused deputy via provider metadata injection

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.

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N

服务端请求伪造(SSRF)

pydantic-ai 服务端请求伪造漏洞

Pydantic pydantic-ai是Pydantic组织开源的一个用于构建生产级应用程序和工作流的生成式AI框架。 pydantic-ai 1.65.0至1.105.0版本和2.0.0b1至2.0.0b5版本存在服务端请求伪造漏洞，该漏洞源于UploadedFile引用未经验证，可能导致攻击者构造消息历史使服务器读取自身账户或其他租户的对象。

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