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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.

  • 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

  • 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

  • Source reference

    Unverified legacy reference

    URL: https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-vmxc-h2x2-jmf3

    Supplemental source - x_refsource_CONFIRM

  • 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.