Medium [CVE-2026-46678] Server-Side Request Forgery (SSRF) bypass exposes cloud credentials.
This medium-severity Red Hat Linux advisory covers CVE-2026-46678.
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Summary
Pydantic AI is a Python agent framework for building Generative AI applications.
In versions 1.56.0 through 1.98.0, when an application opts a URL into force_download='allow-local' (disabling the default block on private/internal IPs), the cloud-metadata blocklist could be bypassed by encoding the metadata IP in an IPv6 transition form (IPv4-mapped IPv6, 6to4, or NAT64), exposing cloud IAM short-term credentials on dual-stack or translated networks.
This is an incomplete fix of GHSA-2jrp-274c-jhv3 / CVE-2026-25580, whose remediation did not hold for IPv6-encoded forms of the metadata IPs.
An application is affected only if it explicitly opts a FileUrl (ImageUrl, AudioUrl, VideoUrl, DocumentUrl) into force_download='allow-local' on a URL influenced by untrusted input; it is not affected when using bundled integrations to ingest user input (Agent.to_web / clai web, VercelAIAdapter, AGUIAdapter / Agent.to_ag_ui), since they do not propagate force_download from external data, nor when downloading only from developer-controlled URLs.
This issue has been fixed in version 1.99.0. When an application is configured to allow local file downloads from untrusted URLs, a Server-Side Request Forgery (SSRF) vulnerability exists.
This flaw allows an attacker to bypass existing security controls by encoding cloud metadata IP addresses using IPv4-mapped IPv6 formats.
- 1.56.0
- 1.98.0
Official advisory · high-confidence parse· fetched 26 days ago·verify at source
Mitigation
Upgrade to a fixed release: 1.99.0. That is the remediation for this advisory.
The vendor advisory may list interim mitigations or workarounds not captured here. Review it before change work.
Official advisory · high-confidence parse· fetched 26 days ago·verify at source
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