Answer in brief
CVE-2026-107289 records a Medium severity (CVSS 6.8) vulnerability in Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifier (incomplete fix for CVE-2026-46678 and CVE-2026-48782). The current sources do not mark it as known exploited. The current feed maps pydantic/pydantic-ai (generic), pydantic/pydantic-ai-slim (generic), pydantic-ai (pip), pydantic-ai (pip) and additional mapped packages. Check affected ranges and fixed versions before updating.
Analysis pending evidence review
HOL Guard separates source facts from reviewed analysis. See the methodology.
CVSS is 6.8. The current sources do not mark it as known exploited. Treat this as a source-backed prioritization signal, not a statement about your environment.
Analysis status
Analysis pending evidence review
Factual feed record only; HOL analysis is not approved for indexing. Read the methodology.
The current feed maps pydantic/pydantic-ai (generic), pydantic/pydantic-ai-slim (generic), pydantic-ai (pip), pydantic-ai (pip) and additional mapped packages. Check affected ranges and fixed versions before updating.
| Package | Affected range | Fixed version |
|---|---|---|
| pydantic/pydantic-aigeneric | >=1.56.0 <1.107.6 || >=2.0.0b1 <2.44.0 | 1.107.6, 2.44.0 |
| pydantic/pydantic-ai-slimgeneric | >=1.56.0 <1.107.6 || >=2.0.0b1 <2.44.0 | 1.107.6, 2.44.0 |
| pydantic-aipip | >=1.56.0,<1.107.6 | 1.107.6 |
| pydantic-aipip | >=2.0.0b1,<2.44.0 | 2.44.0 |
| pydantic-ai-slimpip | >=1.56.0,<1.107.6 | 1.107.6 |
| pydantic-ai-slimpip | >=2.0.0b1,<2.44.0 | 2.44.0 |
| pydantic-aipypi | >=1.56.0 <1.107.6 | 1.107.6 |
| pydantic-aipypi | >=2.0.0b1 <2.44.0 | 2.44.0 |
| pydantic-ai-slimpypi | >=1.56.0 <1.107.6 | 1.107.6 |
| pydantic-ai-slimpypi | >=2.0.0b1 <2.44.0 | 2.44.0 |
Published upstream
Oct 8, 2026
Evidence: source:cvelist:source_dates:source-dates:recordSource modified
Oct 8, 2026
Evidence: source:cvelist:source_dates:source-dates:recordFirst seen by HOL
Oct 8, 2026
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.
Quoted source text, attributed separately from HOL analysis.