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| Source | ID | Title |
|---|---|---|
Github GHSA |
GHSA-vmxc-h2x2-jmf3 | Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifiers |
Thu, 08 Oct 2026 17:30:00 +0000
| Type | Values Removed | Values Added |
|---|---|---|
| Metrics |
ssvc
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Thu, 08 Oct 2026 15:45:00 +0000
| Type | Values Removed | Values Added |
|---|---|---|
| Description | 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. | |
| Title | Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifier (incomplete fix for CVE-2026-46678 and CVE-2026-48782) | |
| Weaknesses | CWE-1289 CWE-918 |
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| References |
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| Metrics |
cvssV3_1
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Subscriptions
No data.
Status: PUBLISHED
Assigner: GitHub_M
Published:
Updated: 2026-10-08T16:07:40.109Z
Reserved: 2026-10-07T15:53:23.586Z
Link: CVE-2026-107289
Updated: 2026-10-08T16:07:33.864Z
Status : Received
Published: 2026-10-08T16:17:04.337
Modified: 2026-10-08T17:17:14.290
Link: CVE-2026-107289
No data.
OpenCVE Enrichment
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Github GHSA