Bug 2548032 (CVE-2026-107289)

Summary: CVE-2026-107289 pydantic-ai: pydantic-ai: Information disclosure via cloud metadata blocklist bypass
Product: [Other] Security Response Reporter: OSIDB Bzimport <bzimport>
Component: vulnerabilityAssignee: Product Security DevOps Team <prodsec-dev>
Status: NEW --- QA Contact:
Severity: low Docs Contact:
Priority: low    
Version: unspecifiedCC: bbrownin, ebourniv, hasun, nyancey, ptisnovs, sbunciak
Target Milestone: ---Keywords: Security
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Hardware: All   
OS: Linux   
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A flaw was found in pydantic-ai. This vulnerability can lead to information disclosure, potentially exposing sensitive cloud credentials such as Identity and Access Management (IAM) tokens. In configurations where local network access is permitted for untrusted requests, a remote attacker can bypass the internal cloud metadata blocklist by appending an IPv6 zone identifier to the requested address. This allows the application to reach restricted internal cloud metadata services.
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oVirt Team: --- RHEL 7.3 requirements from Atomic Host:
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Description OSIDB Bzimport 2026-10-08 15:46:43 UTC
Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.56.0 until 1.107.6 and 2.44.0, applications that opt attacker-influenced URLs into local network access through FileUrl with force_download='allow-local' or web_fetch_tool with allow_local_urls=True can bypass the cloud-metadata blocklist by appending an IPv6 zone identifier to an IPv6 metadata address. IPv6Address equality and hashing include the zone identifier, so the blocklist comparison fails even though the network stack ignores the zone on a non-link-local destination and reaches the metadata service, potentially exposing cloud IAM credentials. The opt-in settings are disabled by default, and the issue requires an IPv6-enabled environment. This issue is fixed in versions 1.107.6 and 2.44.0.