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.
CVE-2026-107289
This medium-severity CVE scores 6.8 under a secondary CVSS source (NVD's own analysis pending). EPSS exploit probability: 0.3% (23rd percentile of EPSS-scored CVEs). GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).
- Lower severity and no public exploit yet
A fix is available — apply it.
- CVSS v3
- 6.8
- EG Score
- 6.8MEDIUMmedium confidence
- EG Risk
- 35EG Risk 35/100CISA SSVC
EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).
How it’s computedSeverity68% × 45%Exploitation0% × 40%Automatability30% × 15%CISA SSVC: Track at low or medium mission impact; Track or Attend at high (mission-essential systems).Action: A fix is available. Apply it within your standard update timelines at low or medium mission impact and sooner than that at high. - EPSS PROB
- 0.3%
- EPSS %ILE
- 23rd
- KEV
- Not listed
CISA SSVCTrack at low or medium mission impact; Track or Attend at high (mission-essential systems).
A fix is available. Apply it within your standard update timelines at low or medium mission impact and sooner than that at high.
Exploitation none (no KEV listing, exploit record or EPSS ≥ 50%) · Automatable unknown (not published for this CVE) · Technical impact partial (CVSS below 9.0). Mission impact is CISA's Mission & Well-being decision point, and only you can judge it: high means the affected system is essential to your organisation's mission, or its compromise could cause irreversible harm to people. CISA's decision table
Published
October 8, 2026
Last Modified
October 8, 2026
Advisory Details (7)
Auto-updated Oct 8, 2026v2.44.0 (2026-09-16)
Patch available: pydantic/pydantic-ai v2.44.0
https://github.com/pydantic/pydantic-ai/releases/tag/v2.44.0v1.107.6 (2026-09-16)
Patch available: pydantic/pydantic-ai v1.107.6
https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.6commit 4da70591460f (pydantic/pydantic-ai)
Patch available: pydantic/pydantic-ai v1.107.6 (contains commit 4da70591460f)
https://github.com/pydantic/pydantic-ai/commit/4da70591460f51a8c4f128eaeef70a33340dbd55commit 02157e1b87bd (pydantic/pydantic-ai)
Patch available: pydantic/pydantic-ai v2.44.0 (contains commit 02157e1b87bd)
https://github.com/pydantic/pydantic-ai/commit/02157e1b87bd45d3f2e111ce07afdf89f9fb0e5bNormalize IPv6 zone identifiers in URL validation (v1 backport)
Patch available: pydantic/pydantic-ai v1.107.6 (PR #8402 merged 2026-09-16)
https://github.com/pydantic/pydantic-ai/pull/8402Normalize IPv6 zone identifiers in URL validation
Patch available: pydantic/pydantic-ai v2.44.0 (PR #8401 merged 2026-09-16)
https://github.com/pydantic/pydantic-ai/pull/8401SSRF cloud-metadata blocklist bypass via IPv6 zone identifiers · Advisory · pydantic/pydantic-ai · GitHub
https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-vmxc-h2x2-jmf3Vendor Advisories for CVE-2026-107289(1)
These vendors published their own advisory mentioning this CVE — often with vendor-specific remediation steps + affected product lists not in NVD.
Affected Packages
(2 across 1 ecosystem)
PyPI(2)
| Package | Vulnerable range | Fix by version range | Dependents |
|---|---|---|---|
| pydantic-ai | 1.100.0 ... 1.99.0 (62 versions) |
| — |
| pydantic-ai-slim | 1.100.0 ... 1.99.0 (62 versions) |
| — |
Weakness Classification(2)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 5× in last 7d / 5× in last 30d)
Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.
- 2026-10-09 22:33 UTCEG score recompute
- 2026-10-09 20:06 UTCEPSS rescore
- 2026-10-08 16:25 UTCEG score recompute
- 2026-10-08 15:37 UTCEG score recompute
- 2026-10-08 15:36 UTCMITRE cvelistV5first tracked
Related CVEs(same product + same CWE)
Same product
10 shownPyPI:pydantic-ai
Frequently asked(5)
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Dependency Blast Radius
See which npm, PyPI, Go, and Maven packages are affected by CVE-2026-107289
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