PatchSiren cyber security CVE debrief
CVE-2026-107289 pydantic CVE debrief
Pydantic AI applications can bypass the cloud-metadata blocklist by appending an IPv6 zone identifier to an IPv6 metadata address when opt-in settings are enabled, potentially exposing cloud IAM credentials. This issue arises in IPv6-enabled environments using Pydantic AI versions 1.56.0 through 1.107.6 and 2.44.0. The opt-in settings are disabled by default, but when enabled, they allow an attacker to influence URLs into local network access, leading to potential security risks. Defenders should assess exposure and prioritize verification and remediation efforts.
- Vendor
- pydantic
- Product
- pydantic-ai
- CVSS
- MEDIUM 6.8
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-10-08
- Original CVE updated
- 2026-10-08
- Advisory published
- 2026-10-08
- Advisory updated
- 2026-10-08
Who should care
Defenders responsible for Pydantic AI deployments, particularly in IPv6-enabled environments, should assess exposure and prioritize verification and remediation efforts. This includes reviewing Pydantic AI version and configuration, assessing the need for compensating controls, and monitoring for potential exploitation attempts.
Why it matters
Defenders should prioritize verifying exposure in IPv6-enabled environments using Pydantic AI versions 1.56.0 through 1.107.6 and 2.44.0, and assess the need for compensating controls.
- Potential exposure of cloud IAM credentials
- Bypass of cloud-metadata blocklist
- Required verification of Pydantic AI version and configuration
- Need for compensating controls in IPv6-enabled environments
Technical summary
Pydantic AI applications can bypass the cloud-metadata blocklist by appending an IPv6 zone identifier to an IPv6 metadata address when opt-in settings are enabled, potentially exposing cloud IAM credentials. This issue arises in IPv6-enabled environments using Pydantic AI versions 1.56.0 through 1.107.6 and 2.44.0. The vulnerability is related to SSRF (Server-Side Request Forgery) and cloud-metadata blocklist bypass via IPv6 zone identifier. The opt-in settings are disabled by default, but when enabled, they allow an attacker to influence URLs into local network access, leading to potential security risks.
Defensive priority
Defenders should prioritize verifying exposure in IPv6-enabled environments using Pydantic AI versions 1.56.0 through 1.107.6 and 2.44.0, and assess the need for compensating controls.
Recommended defensive actions
- Verify Pydantic AI version and configuration to determine exposure
- Assess the need for compensating controls in IPv6-enabled environments
- Monitor for potential exploitation attempts
- Update to Pydantic AI version 1.107.6 or 2.44.0
- Review relevant monitoring, detection, and logs for exposed assets that need extra review
- Track exceptions, retest remediated assets, and close the item only after evidence is documented
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
Evidence notes
The CVE record and Pydantic AI source references provide details on the vulnerability, affected versions, and fixed versions. The vulnerability is related to SSRF (Server-Side Request Forgery) and cloud-metadata blocklist bypass via IPv6 zone identifier. Evidence limits and source grounding indicate that defenders should verify Pydantic AI version and configuration to determine exposure. The CVE record was published on 2026-10-08T15:20:18.056Z and has not been modified since then.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-107289 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-107289
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-107289 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-107289
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifier (incomplete fix for C
Unverified legacy reference
URL: https://raw.githubusercontent.com/CVEProject/cvelistV5/main/cves/2026/107xxx/CVE-2026-107289.json
cve_program_cvelist_v5
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Source reference
Unverified legacy reference
URL: https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-vmxc-h2x2-jmf3
Supplemental source - x_refsource_CONFIRM
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Source reference
Unverified legacy reference
URL: https://github.com/pydantic/pydantic-ai/pull/8401
Supplemental source - x_refsource_MISC
-
Source reference
Unverified legacy reference
URL: https://github.com/pydantic/pydantic-ai/pull/8402
Supplemental source - x_refsource_MISC
-
Source reference
Unverified legacy reference
URL: https://github.com/pydantic/pydantic-ai/commit/02157e1b87bd45d3f2e111ce07afdf89f9fb0e5b
Supplemental source - x_refsource_MISC
-
Source reference
Unverified legacy reference
URL: https://github.com/pydantic/pydantic-ai/commit/4da70591460f51a8c4f128eaeef70a33340dbd55
Supplemental source - x_refsource_MISC
-
Source reference
Unverified legacy reference
URL: https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.6
Supplemental source - x_refsource_MISC
-
Source reference
Unverified legacy reference
URL: https://github.com/pydantic/pydantic-ai/releases/tag/v2.44.0
Supplemental source - x_refsource_MISC
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.