Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifier (incomplete fix for CVE-2026-46678 and CVE-2026-48782)
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
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| pydantic | pydantic-ai | affected |
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| pydantic | pydantic-ai-slim | affected |
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Configuration 1 [-]
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| Pydantic | Pydantic-ai |
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| Source | ID | Title |
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Github GHSA |
GHSA-vmxc-h2x2-jmf3 | Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifiers |
No CVSS v4.0
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.390% probability within 30 days)
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Pydantic pydantic Ai
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| CPEs | cpe:2.3:a:pydantic:pydantic_ai:*:*:*:*:*:python:*:* cpe:2.3:a:pydantic:pydantic_ai:*:-:*:*:*:python:*:* |
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Pydantic pydantic Ai
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threat_severity
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threat_severity
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Pydantic
Pydantic pydantic-ai |
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Pydantic
Pydantic pydantic-ai |
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ssvc
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| 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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| Metrics |
cvssV3_1
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