Vulnerability-Lookup

PYSEC-2026-3686

Vulnerability from pysec - Published: 2026-08-19 11:56 - Updated: 2026-08-19 12:16

Details

In MLflow versions prior to 3.13.0, when running with authentication enabled, the trace API endpoints lack proper authorization validators. This allows any authenticated user to bypass experiment-level authorization controls on all trace operations, including reading, deleting, and modifying traces on experiments they do not have permission to access. The issue arises from the _before_request handler, which does not register authorization validators for trace endpoints, resulting in requests proceeding without validation. This vulnerability can expose sensitive data, destroy audit logs, and allow unauthorized modifications.

Severity

8.1 (High)


                  
                    CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N

Impacted products

Name	purl
mlflow	pkg:pypi/mlflow

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "mlflow",
        "purl": "pkg:pypi/mlflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.14.0rc0"
            },
            {
              "fixed": "3.13.0rc0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.14.0",
        "2.14.0rc0",
        "2.14.1",
        "2.14.2",
        "2.14.2.dev0",
        "2.14.3",
        "2.15.0",
        "2.15.0rc0",
        "2.15.1",
        "2.16.0",
        "2.16.1",
        "2.16.2",
        "2.17.0",
        "2.17.0rc0",
        "2.17.1",
        "2.17.2",
        "2.18.0",
        "2.18.0rc0",
        "2.19.0",
        "2.19.0rc0",
        "2.20.0",
        "2.20.0rc0",
        "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",
        "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",
        "3.2.0",
        "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-2026-8147",
    "GHSA-2cm6-r77w-6g96"
  ],
  "details": "In MLflow versions prior to 3.13.0, when running with authentication enabled, the trace API endpoints lack proper authorization validators. This allows any authenticated user to bypass experiment-level authorization controls on all trace operations, including reading, deleting, and modifying traces on experiments they do not have permission to access. The issue arises from the `_before_request` handler, which does not register authorization validators for trace endpoints, resulting in requests proceeding without validation. This vulnerability can expose sensitive data, destroy audit logs, and allow unauthorized modifications.",
  "id": "PYSEC-2026-3686",
  "modified": "2026-08-19T12:16:29.362178Z",
  "published": "2026-08-19T11:56:24.904399Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-8147"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/pull/23014"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/commit/f9b1eb510478570609ef451984a255775aa4b937"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/mlflow/mlflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/releases/tag/v3.13.0"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/b00c3ddd-373e-492f-9bf0-41a28bb21ed5"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/mlflow"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-2cm6-r77w-6g96"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "MLflow: trace API endpoints lack proper authorization validators"
}

CVE-2026-8147 (GCVE-0-2026-8147)

Vulnerability from cvelistv5 – Published: 2026-07-02 07:32 – Updated: 2026-07-02 12:28

Title

Authorization Bypass in mlflow/mlflow

Summary

In MLflow versions prior to 3.14.0, when running with authentication enabled, the trace API endpoints lack proper authorization validators. This allows any authenticated user to bypass experiment-level authorization controls on all trace operations, including reading, deleting, and modifying traces on experiments they do not have permission to access. The issue arises from the `_before_request` handler, which does not register authorization validators for trace endpoints, resulting in requests proceeding without validation. This vulnerability can expose sensitive data, destroy audit logs, and allow unauthorized modifications.

Severity

8.1 (High)


                        
                          CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-07-02 12:28 UTC

CWE

CWE-284 - Improper Access Control

Assigner

@huntr_ai mitre root

References

2 references

URL	Tags
https://huntr.com/bounties/b00c3ddd-373e-492f-9bf…
https://github.com/mlflow/mlflow/commit/f9b1eb510…

Impacted products

1 product

Vendor	Product	Version
mlflow	mlflow/mlflow	Affected: unspecified , < 3.14.0 (custom)

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-8147",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-07-02T12:28:27.236676Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-07-02T12:28:31.554Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "references": [
          {
            "tags": [
              "exploit"
            ],
            "url": "https://huntr.com/bounties/b00c3ddd-373e-492f-9bf0-41a28bb21ed5"
          }
        ],
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "mlflow/mlflow",
          "vendor": "mlflow",
          "versions": [
            {
              "lessThan": "3.14.0",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "In MLflow versions prior to 3.14.0, when running with authentication enabled, the trace API endpoints lack proper authorization validators. This allows any authenticated user to bypass experiment-level authorization controls on all trace operations, including reading, deleting, and modifying traces on experiments they do not have permission to access. The issue arises from the `_before_request` handler, which does not register authorization validators for trace endpoints, resulting in requests proceeding without validation. This vulnerability can expose sensitive data, destroy audit logs, and allow unauthorized modifications."
        }
      ],
      "metrics": [
        {
          "cvssV3_0": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 8.1,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N",
            "version": "3.0"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-284",
              "description": "CWE-284 Improper Access Control",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-07-02T07:32:58.308Z",
        "orgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
        "shortName": "@huntr_ai"
      },
      "references": [
        {
          "url": "https://huntr.com/bounties/b00c3ddd-373e-492f-9bf0-41a28bb21ed5"
        },
        {
          "url": "https://github.com/mlflow/mlflow/commit/f9b1eb510478570609ef451984a255775aa4b937"
        }
      ],
      "source": {
        "advisory": "b00c3ddd-373e-492f-9bf0-41a28bb21ed5",
        "discovery": "EXTERNAL"
      },
      "title": "Authorization Bypass in mlflow/mlflow"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
    "assignerShortName": "@huntr_ai",
    "cveId": "CVE-2026-8147",
    "datePublished": "2026-07-02T07:32:58.308Z",
    "dateReserved": "2026-05-08T02:45:28.857Z",
    "dateUpdated": "2026-07-02T12:28:31.554Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

GHSA-2CM6-R77W-6G96

Vulnerability from github – Published: 2026-07-02 09:32 – Updated: 2026-08-13 18:27

Summary

MLflow: trace API endpoints lack proper authorization validators

Details

Severity

8.1 (High)


                  
                    CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "mlflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.14.0rc0"
            },
            {
              "fixed": "3.13.0rc0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-8147"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-284"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-08-13T18:27:49Z",
    "nvd_published_at": "2026-07-02T09:16:19Z",
    "severity": "HIGH"
  },
  "details": "In MLflow versions prior to 3.13.0, when running with authentication enabled, the trace API endpoints lack proper authorization validators. This allows any authenticated user to bypass experiment-level authorization controls on all trace operations, including reading, deleting, and modifying traces on experiments they do not have permission to access. The issue arises from the `_before_request` handler, which does not register authorization validators for trace endpoints, resulting in requests proceeding without validation. This vulnerability can expose sensitive data, destroy audit logs, and allow unauthorized modifications.",
  "id": "GHSA-2cm6-r77w-6g96",
  "modified": "2026-08-13T18:27:49Z",
  "published": "2026-07-02T09:32:03Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-8147"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/pull/23014"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/commit/f9b1eb510478570609ef451984a255775aa4b937"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/mlflow/mlflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/releases/tag/v3.13.0"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/b00c3ddd-373e-492f-9bf0-41a28bb21ed5"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "MLflow: trace API endpoints lack proper authorization validators"
}

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.

Detection rules are retrieved from Rulezet.

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

PYSEC-2026-3686

CVE-2026-8147 (GCVE-0-2026-8147)

GHSA-2CM6-R77W-6G96

Tags

Sightings

Nomenclature

Related by attack behaviour