Vulnerability-Lookup

CVE-2026-107289 (GCVE-0-2026-107289)

Vulnerability from cvelistv5 – Published: 2026-10-08 15:20 – Updated: 2026-10-08 16:07

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.

Severity

6.8 (Medium)


                        
                          CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-10-08 16:07 UTC

CWE

CWE-918 - Server-Side Request Forgery (SSRF)
CWE-1289 - Improper Validation of Unsafe Equivalence in Input

Assigner

GitHub_M CNA under the mitre root

CNA scorecard C 72/100 over 7642 records in the last 180 days details

References

7 references

URL	Tags
https://github.com/pydantic/pydantic-ai/security/…	x_refsource_CONFIRM
https://github.com/pydantic/pydantic-ai/pull/8401	x_refsource_MISC
https://github.com/pydantic/pydantic-ai/pull/8402	x_refsource_MISC
https://github.com/pydantic/pydantic-ai/commit/02…	x_refsource_MISC
https://github.com/pydantic/pydantic-ai/commit/4d…	x_refsource_MISC
https://github.com/pydantic/pydantic-ai/releases/…	x_refsource_MISC
https://github.com/pydantic/pydantic-ai/releases/…	x_refsource_MISC

Impacted products

2 products

Vendor	Product	Version	CPE status
pydantic	pydantic-ai	Affected: >= 1.56.0, < 1.107.6 Affected: >= 2.0.0b1, < 2.44.0	guessed
pydantic	pydantic-ai-slim	Affected: >= 1.56.0, < 1.107.6 Affected: >= 2.0.0b1, < 2.44.0	guessed

Show details on NVD website

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BREW-OTERM-CVE-2026-107289 (GHSA-VMXC-H2X2-JMF3)

Vulnerability from osv_homebrew – Published: 2026-10-08 18:40 – Updated: 2026-10-08 18:40 – Source website

Summary

Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifiers

Details

Summary

When an application using Pydantic AI opts a URL into local network access — either a FileUrl with force_download='allow-local', or web_fetch_tool(allow_local_urls=True) — the cloud-metadata blocklist could be bypassed by appending an IPv6 zone identifier to a metadata address (for example fd00:ec2::254%251). The host ignores the zone identifier on a destination that is not link-local and delivers the request to the metadata endpoint anyway, exposing cloud IAM short-term credentials.

This is an incomplete fix of GHSA-cqp8-fcvh-x7r3 / CVE-2026-46678 and GHSA-cg7w-rg45-pc59 / CVE-2026-48782, themselves follow-ups to CVE-2026-25580. The parent advisory's remediation guaranteed that cloud metadata endpoints are always blocked, even with local access allowed. That guarantee did not hold for zone-scoped spellings of the IPv6 metadata endpoints.

Details

The cloud-metadata guard compared IPv6 addresses against its blocklist by set membership. Python includes the zone identifier in IPv6Address equality and hashing, so a zone-scoped spelling of a blocked address did not match, while the network stack ignores the zone identifier for a destination that is not link-local. The private-range checks, and the IPv4 and transition-form metadata checks, were already unaffected, because they compare by network containment and by packed bytes respectively.

Only the IPv6 cloud metadata endpoints were reachable this way, so the issue requires an IPv6-enabled environment — for example AWS EC2 or EKS with IPv6, GCP IPv6-only instances, or Scaleway.

Who Is Affected

You are affected only if your application opts a URL that is, or could be, influenced by untrusted input into local network access, through either:

a FileUrl (ImageUrl, AudioUrl, VideoUrl, DocumentUrl) with force_download='allow-local'; or
web_fetch_tool(allow_local_urls=True), where the model chooses the URL.

Both are off by default.

You are not affected through the FileUrl path if you use any of the bundled integrations to ingest user input, because they do not propagate force_download from external data:

Agent.to_web / clai web
VercelAIAdapter
AGUIAdapter / Agent.to_ag_ui

web_fetch_tool is configured by your own application, so a client cannot turn on allow_local_urls.

Applications that only download from developer-controlled URLs are not affected.

Remediation

Upgrade to a patched version. The cloud-metadata and private-IP checks now drop an IPv6 zone identifier before evaluating the address, so every blocklist comparison is made on the address itself. A zone identifier is still carried on the connection, so legitimate link-local fetches under local network access continue to work.

Workaround for Unpatched Versions

Avoid opting into local network access — force_download='allow-local' or web_fetch_tool(allow_local_urls=True) — on any URL that could be influenced by untrusted input. If you must, reject URL hosts containing % before constructing the FileUrl or configuring the tool.

Credits

Reported by @euriconicacio.

Severity

6.8 (Medium)


                    
                      CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N

References

URL

Type

	https://github.com/pydantic/pydantic-ai/security/…	WEB
	https://github.com/pydantic/pydantic-ai/pull/8401	WEB
	https://github.com/pydantic/pydantic-ai/pull/8402	WEB
	https://github.com/pydantic/pydantic-ai/commit/02…	WEB
	https://github.com/pydantic/pydantic-ai/commit/4d…	WEB
	https://github.com/pydantic/pydantic-ai	PACKAGE
	https://github.com/pydantic/pydantic-ai/releases/…	WEB
	https://github.com/pydantic/pydantic-ai/releases/…	WEB

JSON

To clipboard

{
  "affected": [
    {
      "ecosystem_specific": {
        "fix": "bump",
        "range_state": "fixed",
        "resource": "pydantic-ai-slim",
        "resource_purl": "pkg:pypi/pydantic-ai-slim@2.51.0",
        "upstream_fixed_in": "2.44.0"
      },
      "package": {
        "ecosystem": "Homebrew",
        "name": "oterm",
        "purl": "pkg:brew/oterm"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0.15.0"
            },
            {
              "fixed": "0.25.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "database_specific": {
    "confidence": "high",
    "source": "matched",
    "strategy": "registry",
    "upstream_evidence": [
      {
        "ecosystem": "PyPI",
        "key": "pkg:pypi/pydantic-ai-slim@2.51.0",
        "name": "pydantic-ai-slim",
        "resource": "pydantic-ai-slim",
        "strategy": "registry",
        "subject_version": "2.51.0"
      }
    ]
  },
  "details": "### Summary\n\nWhen an application using Pydantic AI opts a URL into local network access \u2014 either a `FileUrl` with `force_download=\u0027allow-local\u0027`, or `web_fetch_tool(allow_local_urls=True)` \u2014 the cloud-metadata blocklist could be bypassed by appending an IPv6 zone identifier to a metadata address (for example `fd00:ec2::254%251`). The host ignores the zone identifier on a destination that is not link-local and delivers the request to the metadata endpoint anyway, exposing cloud IAM short-term credentials.\n\nThis is an incomplete fix of [GHSA-cqp8-fcvh-x7r3](https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-cqp8-fcvh-x7r3) / [CVE-2026-46678](https://nvd.nist.gov/vuln/detail/CVE-2026-46678) and [GHSA-cg7w-rg45-pc59](https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-cg7w-rg45-pc59) / [CVE-2026-48782](https://nvd.nist.gov/vuln/detail/CVE-2026-48782), themselves follow-ups to [CVE-2026-25580](https://nvd.nist.gov/vuln/detail/CVE-2026-25580). The parent advisory\u0027s remediation guaranteed that cloud metadata endpoints are always blocked, even with local access allowed. That guarantee did not hold for zone-scoped spellings of the IPv6 metadata endpoints.\n\n\n### Details\n\nThe cloud-metadata guard compared IPv6 addresses against its blocklist by set membership. Python includes the zone identifier in `IPv6Address` equality and hashing, so a zone-scoped spelling of a blocked address did not match, while the network stack ignores the zone identifier for a destination that is not link-local. The private-range checks, and the IPv4 and transition-form metadata checks, were already unaffected, because they compare by network containment and by packed bytes respectively.\n\nOnly the IPv6 cloud metadata endpoints were reachable this way, so the issue requires an IPv6-enabled environment \u2014 for example AWS EC2 or EKS with IPv6, GCP IPv6-only instances, or Scaleway.\n\n### Who Is Affected\n\nYou are affected **only if** your application opts a URL that is, or could be, influenced by untrusted input into local network access, through either:\n\n- a `FileUrl` (`ImageUrl`, `AudioUrl`, `VideoUrl`, `DocumentUrl`) with `force_download=\u0027allow-local\u0027`; or\n- `web_fetch_tool(allow_local_urls=True)`, where the model chooses the URL.\n\nBoth are off by default.\n\nYou are **not** affected through the `FileUrl` path if you use any of the bundled integrations to ingest user input, because they do not propagate `force_download` from external data:\n\n- `Agent.to_web` / `clai web`\n- `VercelAIAdapter`\n- `AGUIAdapter` / `Agent.to_ag_ui`\n\n`web_fetch_tool` is configured by your own application, so a client cannot turn on `allow_local_urls`.\n\nApplications that only download from developer-controlled URLs are not affected.\n\n### Remediation\n\nUpgrade to a patched version. The cloud-metadata and private-IP checks now drop an IPv6 zone identifier before evaluating the address, so every blocklist comparison is made on the address itself. A zone identifier is still carried on the connection, so legitimate link-local fetches under local network access continue to work.\n\n### Workaround for Unpatched Versions\n\nAvoid opting into local network access \u2014 `force_download=\u0027allow-local\u0027` or `web_fetch_tool(allow_local_urls=True)` \u2014 on any URL that could be influenced by untrusted input. If you must, reject URL hosts containing `%` before constructing the `FileUrl` or configuring the tool.\n\n### Credits\n\nReported by [@euriconicacio](https://github.com/euriconicacio).",
  "id": "BREW-oterm-CVE-2026-107289",
  "modified": "2026-10-08T18:40:35Z",
  "published": "2026-10-08T18:40:35Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-vmxc-h2x2-jmf3"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pydantic/pydantic-ai/pull/8401"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pydantic/pydantic-ai/pull/8402"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pydantic/pydantic-ai/commit/02157e1b87bd45d3f2e111ce07afdf89f9fb0e5b"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pydantic/pydantic-ai/commit/4da70591460f51a8c4f128eaeef70a33340dbd55"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/pydantic/pydantic-ai"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.6"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pydantic/pydantic-ai/releases/tag/v2.44.0"
    }
  ],
  "schema_version": "1.7.3",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifiers",
  "upstream": [
    "GHSA-vmxc-h2x2-jmf3",
    "CVE-2026-107289"
  ]
}

FKIE_CVE-2026-107289

Vulnerability from fkie_nvd - Published: 2026-10-08 16:17 - Updated: 2026-10-08 20:35

Severity

6.8 (Medium) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N

Summary

References

	URL	Tags
	security-advisories@github.com	https://github.com/pydantic/pydantic-ai/commit/02157e1b87bd45d3f2e111ce07afdf89f9fb0e5b
	security-advisories@github.com	https://github.com/pydantic/pydantic-ai/commit/4da70591460f51a8c4f128eaeef70a33340dbd55
	security-advisories@github.com	https://github.com/pydantic/pydantic-ai/pull/8401
	security-advisories@github.com	https://github.com/pydantic/pydantic-ai/pull/8402
	security-advisories@github.com	https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.6
	security-advisories@github.com	https://github.com/pydantic/pydantic-ai/releases/tag/v2.44.0
	security-advisories@github.com	https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-vmxc-h2x2-jmf3

Impacted products

	Vendor	Product	Version

JSON

To clipboard

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "pydantic-ai",
          "vendor": "pydantic",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 1.56.0, \u003c 1.107.6"
            },
            {
              "status": "affected",
              "version": "\u003e= 2.0.0b1, \u003c 2.44.0"
            }
          ]
        },
        {
          "product": "pydantic-ai-slim",
          "vendor": "pydantic",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 1.56.0, \u003c 1.107.6"
            },
            {
              "status": "affected",
              "version": "\u003e= 2.0.0b1, \u003c 2.44.0"
            }
          ]
        }
      ],
      "source": "security-advisories@github.com"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "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=\u0027allow-local\u0027 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."
    }
  ],
  "id": "CVE-2026-107289",
  "lastModified": "2026-10-08T20:35:31.200",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "HIGH",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 6.8,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 2.2,
        "impactScore": 4.0,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-107289",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-10-08T16:07:09.527203Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-10-08T16:17:04.337",
  "references": [
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/pydantic/pydantic-ai/commit/02157e1b87bd45d3f2e111ce07afdf89f9fb0e5b"
    },
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/pydantic/pydantic-ai/commit/4da70591460f51a8c4f128eaeef70a33340dbd55"
    },
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/pydantic/pydantic-ai/pull/8401"
    },
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/pydantic/pydantic-ai/pull/8402"
    },
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.6"
    },
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/pydantic/pydantic-ai/releases/tag/v2.44.0"
    },
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-vmxc-h2x2-jmf3"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Awaiting Analysis",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-918"
        },
        {
          "lang": "en",
          "value": "CWE-1289"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Secondary"
    }
  ]
}

GHSA-VMXC-H2X2-JMF3

Vulnerability from github – Published: 2026-10-08 16:48 – Updated: 2026-10-08 16:48

Summary

Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifiers

Details

Summary

Details

Only the IPv6 cloud metadata endpoints were reachable this way, so the issue requires an IPv6-enabled environment — for example AWS EC2 or EKS with IPv6, GCP IPv6-only instances, or Scaleway.

Who Is Affected

You are affected only if your application opts a URL that is, or could be, influenced by untrusted input into local network access, through either:

a FileUrl (ImageUrl, AudioUrl, VideoUrl, DocumentUrl) with force_download='allow-local'; or
web_fetch_tool(allow_local_urls=True), where the model chooses the URL.

Both are off by default.

You are not affected through the FileUrl path if you use any of the bundled integrations to ingest user input, because they do not propagate force_download from external data:

Agent.to_web / clai web
VercelAIAdapter
AGUIAdapter / Agent.to_ag_ui

web_fetch_tool is configured by your own application, so a client cannot turn on allow_local_urls.

Applications that only download from developer-controlled URLs are not affected.

Remediation

Workaround for Unpatched Versions

Credits

Reported by @euriconicacio.

Severity

6.8 (Medium)


                  
                    CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "pydantic-ai"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "1.56.0"
            },
            {
              "fixed": "1.107.6"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "pydantic-ai"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.0.0b1"
            },
            {
              "fixed": "2.44.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "pydantic-ai-slim"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "1.56.0"
            },
            {
              "fixed": "1.107.6"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "pydantic-ai-slim"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.0.0b1"
            },
            {
              "fixed": "2.44.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-107289"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-1289",
      "CWE-918"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-10-08T16:48:06Z",
    "nvd_published_at": null,
    "severity": "MODERATE"
  },
  "details": "### Summary\n\nWhen an application using Pydantic AI opts a URL into local network access \u2014 either a `FileUrl` with `force_download=\u0027allow-local\u0027`, or `web_fetch_tool(allow_local_urls=True)` \u2014 the cloud-metadata blocklist could be bypassed by appending an IPv6 zone identifier to a metadata address (for example `fd00:ec2::254%251`). The host ignores the zone identifier on a destination that is not link-local and delivers the request to the metadata endpoint anyway, exposing cloud IAM short-term credentials.\n\nThis is an incomplete fix of [GHSA-cqp8-fcvh-x7r3](https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-cqp8-fcvh-x7r3) / [CVE-2026-46678](https://nvd.nist.gov/vuln/detail/CVE-2026-46678) and [GHSA-cg7w-rg45-pc59](https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-cg7w-rg45-pc59) / [CVE-2026-48782](https://nvd.nist.gov/vuln/detail/CVE-2026-48782), themselves follow-ups to [CVE-2026-25580](https://nvd.nist.gov/vuln/detail/CVE-2026-25580). The parent advisory\u0027s remediation guaranteed that cloud metadata endpoints are always blocked, even with local access allowed. That guarantee did not hold for zone-scoped spellings of the IPv6 metadata endpoints.\n\n\n### Details\n\nThe cloud-metadata guard compared IPv6 addresses against its blocklist by set membership. Python includes the zone identifier in `IPv6Address` equality and hashing, so a zone-scoped spelling of a blocked address did not match, while the network stack ignores the zone identifier for a destination that is not link-local. The private-range checks, and the IPv4 and transition-form metadata checks, were already unaffected, because they compare by network containment and by packed bytes respectively.\n\nOnly the IPv6 cloud metadata endpoints were reachable this way, so the issue requires an IPv6-enabled environment \u2014 for example AWS EC2 or EKS with IPv6, GCP IPv6-only instances, or Scaleway.\n\n### Who Is Affected\n\nYou are affected **only if** your application opts a URL that is, or could be, influenced by untrusted input into local network access, through either:\n\n- a `FileUrl` (`ImageUrl`, `AudioUrl`, `VideoUrl`, `DocumentUrl`) with `force_download=\u0027allow-local\u0027`; or\n- `web_fetch_tool(allow_local_urls=True)`, where the model chooses the URL.\n\nBoth are off by default.\n\nYou are **not** affected through the `FileUrl` path if you use any of the bundled integrations to ingest user input, because they do not propagate `force_download` from external data:\n\n- `Agent.to_web` / `clai web`\n- `VercelAIAdapter`\n- `AGUIAdapter` / `Agent.to_ag_ui`\n\n`web_fetch_tool` is configured by your own application, so a client cannot turn on `allow_local_urls`.\n\nApplications that only download from developer-controlled URLs are not affected.\n\n### Remediation\n\nUpgrade to a patched version. The cloud-metadata and private-IP checks now drop an IPv6 zone identifier before evaluating the address, so every blocklist comparison is made on the address itself. A zone identifier is still carried on the connection, so legitimate link-local fetches under local network access continue to work.\n\n### Workaround for Unpatched Versions\n\nAvoid opting into local network access \u2014 `force_download=\u0027allow-local\u0027` or `web_fetch_tool(allow_local_urls=True)` \u2014 on any URL that could be influenced by untrusted input. If you must, reject URL hosts containing `%` before constructing the `FileUrl` or configuring the tool.\n\n### Credits\n\nReported by [@euriconicacio](https://github.com/euriconicacio).",
  "id": "GHSA-vmxc-h2x2-jmf3",
  "modified": "2026-10-08T16:48:07Z",
  "published": "2026-10-08T16:48:06Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-vmxc-h2x2-jmf3"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pydantic/pydantic-ai/pull/8401"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pydantic/pydantic-ai/pull/8402"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pydantic/pydantic-ai/commit/02157e1b87bd45d3f2e111ce07afdf89f9fb0e5b"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pydantic/pydantic-ai/commit/4da70591460f51a8c4f128eaeef70a33340dbd55"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/pydantic/pydantic-ai"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.6"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pydantic/pydantic-ai/releases/tag/v2.44.0"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Pydantic AI: SSRF cloud-metadata blocklist bypass via IPv6 zone identifiers"
}

Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

Action not permitted

CVE-2026-107289 (GCVE-0-2026-107289)

BREW-OTERM-CVE-2026-107289 (GHSA-VMXC-H2X2-JMF3)

Summary

Details

Who Is Affected

Remediation

Workaround for Unpatched Versions

Credits

FKIE_CVE-2026-107289

GHSA-VMXC-H2X2-JMF3

Summary

Details

Who Is Affected

Remediation

Workaround for Unpatched Versions

Credits

Tags

Sightings

Nomenclature

Related by attack behaviour