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Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifier (incomplete fix for CVE-2026-46678 and CVE-2026-48782)

Type: advisorySources: OSV

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.

Products
Not specified
Affected versions
Not specified
Fixed versions
Not specified
CVEs
CVE-2026-107289
Confirmed fixed CVEs
Not specified
Updated in this feed
5 Nov 2026, 18:13 UTC · Revision 1

Source evidence

Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifier (incomplete fix for CVE-2026-46678 and CVE-2026-48782)

core-osv · Original source

Published 8 Oct 2026, 15:20 UTC

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.

osv:CVE-2026-107289
Complete source record
{
  "id": "476c469c3562e36ffa034c1d2f0a3e328fd1d10239826e3691e5caa6e5b5578f",
  "url": "https://osv.dev/vulnerability/CVE-2026-107289",
  "method": "structured",
  "payload": {
    "kind": "advisory",
    "title": "Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifier (incomplete fix for CVE-2026-46678 and CVE-2026-48782)",
    "summary": "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.",
    "evidence": "osv:CVE-2026-107289",
    "products": [],
    "severity": "medium",
    "structured": {
      "id": "CVE-2026-107289",
      "aliases": [
        "CVE-2026-107289",
        "GHSA-vmxc-h2x2-jmf3",
        "PYSEC-2026-4282",
        "PYSEC-2026-4291"
      ],
      "metrics": [
        {
          "type": "CVSS_V3",
          "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N"
        }
      ],
      "affected": [
        {
          "ranges": [
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              "repo": "https://github.com/pydantic/pydantic-ai",
              "type": "GIT",
              "events": [
                {
                  "introduced": "d398bc9d39aecca6530fa7486a410d5cce936301"
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                {
                  "fixed": "7ee27e38ab2e525ca60ff1a25d16413ff989fd79"
                },
                {
                  "introduced": "e19e18065a13be0490483ad3c5601d232af8185b"
                },
                {
                  "fixed": "9fdabb4b2afb54ff7deb9013f6b43971324d9181"
                },
                {
                  "fixed": "02157e1b87bd45d3f2e111ce07afdf89f9fb0e5b"
                },
                {
                  "fixed": "4da70591460f51a8c4f128eaeef70a33340dbd55"
                }
              ],
              "database_specific": {
                "extracted_events": [
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                    "cpe": "cpe:2.3:a:pydantic:pydantic_ai:*:*:*:*:*:python:*:*",
                    "range": [
                      {
                        "introduced": "1.56.0"
                      },
                      {
                        "fixed": "1.107.6"
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                    ],
                    "source": "CPE_RANGE"
                  },
                  {
                    "cpe": "cpe:2.3:a:pydantic:pydantic_ai:*:-:*:*:*:python:*:*",
                    "range": [
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                        "introduced": "2.0.0"
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                      {
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                    "source": "CPE_RANGE"
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                    "range": [
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                    "source": "REFERENCES_COMMIT"
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                    "source": "REFERENCES_TAG",
                    "original_tag": "v1.107.6"
                  },
                  {
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                    ],
                    "source": "REFERENCES_TAG",
                    "original_tag": "v2.44.0"
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              }
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          ],
          "versions": [
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          "database_specific": {
            "source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2026-107289.json"
          }
        }
      ],
      "modified": "2026-10-28T02:30:44.735949593Z",
      "provider": "osv",
      "references": [
        "https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.6",
        "https://github.com/pydantic/pydantic-ai/releases/tag/v2.44.0",
        "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/107xxx/CVE-2026-107289.json",
        "https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-vmxc-h2x2-jmf3",
        "https://nvd.nist.gov/vuln/detail/CVE-2026-107289",
        "https://github.com/pydantic/pydantic-ai/commit/02157e1b87bd45d3f2e111ce07afdf89f9fb0e5b",
        "https://github.com/pydantic/pydantic-ai/commit/4da70591460f51a8c4f128eaeef70a33340dbd55",
        "https://github.com/pydantic/pydantic-ai/pull/8401",
        "https://github.com/pydantic/pydantic-ai/pull/8402"
      ],
      "provider_metadata": {
        "cwe_ids": [
          "CWE-1289",
          "CWE-918"
        ],
        "cna_assigner": "GitHub_M",
        "osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/107xxx/CVE-2026-107289.json"
      }
    },
    "related_cves": [
      {
        "value": "CVE-2026-107289",
        "evidence": "/id"
      }
    ],
    "security_relevant": true,
    "severity_evidence": "/severity/0/score"
  },
  "source_id": "core-osv",
  "document_id": 512640,
  "published_at": "2026-10-08T15:20:18.056+00:00"
}