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Pydantic AI: web_fetch_tool blocked_domains bypass via a hostname the resolver normalizes differently

Type: advisorySources: OSV

Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.6 and 2.44.0, the local web_fetch_tool and the WebFetch local fallback compare blocked_domains entries with a URL hostname before both values are normalized to the form used by getaddrinfo. An attacker-influenced model can use an equivalent IDNA spelling, non-ASCII label separator, case variation, or trailing root label that resolves to a blocked host but does not match the configured string, causing the application to fetch that host with its own privileges. allowed_domains fails closed for unmatched spellings, and private-IP and cloud-metadata protections remain effective. 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-2026-107288
Confirmed fixed CVEs
Not specified
Updated in this feed
4 Nov 2026, 03:05 UTC · Revision 1

Source evidence

Pydantic AI: web_fetch_tool blocked_domains bypass via a hostname the resolver normalizes differently

core-osv · Original source

Published 8 Oct 2026, 15:18 UTC

Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.6 and 2.44.0, the local web_fetch_tool and the WebFetch local fallback compare blocked_domains entries with a URL hostname before both values are normalized to the form used by getaddrinfo. An attacker-influenced model can use an equivalent IDNA spelling, non-ASCII label separator, case variation, or trailing root label that resolves to a blocked host but does not match the configured string, causing the application to fetch that host with its own privileges. allowed_domains fails closed for unmatched spellings, and private-IP and cloud-metadata protections remain effective. This issue is fixed in versions 1.107.6 and 2.44.0.

osv:CVE-2026-107288
Complete source record
{
  "id": "3bf352fa6e573c04df8b5f4ea646d5c3a1b0008150ca3fd095c8a25a859e6e78",
  "url": "https://osv.dev/vulnerability/CVE-2026-107288",
  "method": "structured",
  "payload": {
    "kind": "advisory",
    "title": "Pydantic AI: web_fetch_tool blocked_domains bypass via a hostname the resolver normalizes differently",
    "summary": "Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.6 and 2.44.0, the local web_fetch_tool and the WebFetch local fallback compare blocked_domains entries with a URL hostname before both values are normalized to the form used by getaddrinfo. An attacker-influenced model can use an equivalent IDNA spelling, non-ASCII label separator, case variation, or trailing root label that resolves to a blocked host but does not match the configured string, causing the application to fetch that host with its own privileges. allowed_domains fails closed for unmatched spellings, and private-IP and cloud-metadata protections remain effective. This issue is fixed in versions 1.107.6 and 2.44.0.",
    "evidence": "osv:CVE-2026-107288",
    "products": [],
    "severity": "low",
    "structured": {
      "id": "CVE-2026-107288",
      "aliases": [
        "CVE-2026-107288",
        "GHSA-22h6-qm39-v87j"
      ],
      "metrics": [
        {
          "type": "CVSS_V3",
          "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N"
        }
      ],
      "affected": [
        {
          "ranges": [
            {
              "repo": "https://github.com/pydantic/pydantic-ai",
              "type": "GIT",
              "events": [
                {
                  "introduced": "a282bcade2c2a75847806bbba9cf511dd0623019"
                },
                {
                  "fixed": "7ee27e38ab2e525ca60ff1a25d16413ff989fd79"
                },
                {
                  "introduced": "e19e18065a13be0490483ad3c5601d232af8185b"
                },
                {
                  "fixed": "9fdabb4b2afb54ff7deb9013f6b43971324d9181"
                },
                {
                  "fixed": "490335f8e2322e143a79337ddca9410e0176c812"
                },
                {
                  "fixed": "a9dab92099d0ef9d5d4aa34ccac8a6f1b0e51284"
                },
                {
                  "fixed": "c1f212a084cbfa0012f2044cdb4731d214b3b983"
                }
              ],
              "database_specific": {
                "extracted_events": [
                  {
                    "cpe": "cpe:2.3:a:pydantic:pydantic_ai:*:*:*:*:*:python:*:*",
                    "range": [
                      {
                        "introduced": "1.77.0"
                      },
                      {
                        "fixed": "1.107.6"
                      }
                    ],
                    "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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                      {
                        "fixed": "2.44.0"
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                    "source": "CPE_RANGE"
                  },
                  {
                    "range": [
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                    "source": "REFERENCES_COMMIT"
                  },
                  {
                    "range": [
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                    "source": "REFERENCES_COMMIT"
                  },
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                    "range": [
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                        "fixed": "7ee27e38ab2e525ca60ff1a25d16413ff989fd79"
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                    ],
                    "source": "REFERENCES_TAG",
                    "original_tag": "v1.107.6"
                  },
                  {
                    "range": [
                      {
                        "fixed": "9fdabb4b2afb54ff7deb9013f6b43971324d9181"
                      }
                    ],
                    "source": "REFERENCES_TAG",
                    "original_tag": "v2.44.0"
                  }
                ]
              }
            }
          ],
          "versions": [
            "v1.107.5",
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            "v2.40.0",
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            "v2.29.0",
            "v2.28.0",
            "v1.107.2",
            "v2.27.1",
            "v2.27.0",
            "v1.107.1",
            "v2.26.0",
            "v2.25.0",
            "v2.24.0",
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            "v2.21.0",
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          ],
          "database_specific": {
            "source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2026-107288.json"
          }
        }
      ],
      "modified": "2026-10-28T02:30:32.820398516Z",
      "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-2026-107288.json",
        "https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-22h6-qm39-v87j",
        "https://nvd.nist.gov/vuln/detail/CVE-2026-107288",
        "https://github.com/pydantic/pydantic-ai/commit/490335f8e2322e143a79337ddca9410e0176c812",
        "https://github.com/pydantic/pydantic-ai/commit/a9dab92099d0ef9d5d4aa34ccac8a6f1b0e51284",
        "https://github.com/pydantic/pydantic-ai/commit/c1f212a084cbfa0012f2044cdb4731d214b3b983",
        "https://github.com/pydantic/pydantic-ai/pull/8407",
        "https://github.com/pydantic/pydantic-ai/pull/8409",
        "https://github.com/pydantic/pydantic-ai/pull/8421"
      ],
      "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-2026-107288.json"
      }
    },
    "related_cves": [
      {
        "value": "CVE-2026-107288",
        "evidence": "/id"
      }
    ],
    "security_relevant": true,
    "severity_evidence": "/severity/0/score"
  },
  "source_id": "core-osv",
  "document_id": 499870,
  "published_at": "2026-10-08T15:18:40.047+00:00"
}