Vulnerability-Lookup

PYSEC-2026-2657

Vulnerability from pysec - Published: 2026-07-13 14:36 - Updated: 2026-07-13 16:04

Details

In the latest version of mlflow/mlflow, when the basic-auth app is enabled, tracing and assessment endpoints are not protected by permission validators. This allows any authenticated user, including those with NO_PERMISSIONS on the experiment, to read trace information and create assessments for traces they should not have access to. This vulnerability impacts confidentiality by exposing trace metadata and integrity by allowing unauthorized creation of assessments. Deployments using mlflow server --app-name=basic-auth are affected.

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": "0"
            },
            {
              "last_affected": "3.8.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
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        "1.13",
        "1.13.1",
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        "1.16.0",
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        "2.15.1",
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        "3.7.0rc0",
        "3.8.0",
        "3.8.0rc0",
        "3.8.1"
      ]
    }
  ],
  "aliases": [
    "CVE-2025-15381",
    "GHSA-g6pg-52vf-843h"
  ],
  "details": "In the latest version of mlflow/mlflow, when the `basic-auth` app is enabled, tracing and assessment endpoints are not protected by permission validators. This allows any authenticated user, including those with `NO_PERMISSIONS` on the experiment, to read trace information and create assessments for traces they should not have access to. This vulnerability impacts confidentiality by exposing trace metadata and integrity by allowing unauthorized creation of assessments. Deployments using `mlflow server --app-name=basic-auth` are affected.",
  "id": "PYSEC-2026-2657",
  "modified": "2026-07-13T16:04:53.882702Z",
  "published": "2026-07-13T14:36:45.194786Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-15381"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/mlflow/mlflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/blob/b569ebc74c14af593c326143bee2df44a5d59edf/mlflow/server/auth/__init__.py#L752"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/149fb2f9-ef4b-4136-a25c-20563451904c"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/mlflow"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-g6pg-52vf-843h"
    }
  ],
  "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 allows Tracing + Assessments Access"
}

CVE-2025-15381 (GCVE-0-2025-15381)

Vulnerability from cvelistv5 – Published: 2026-03-27 16:17 – Updated: 2026-07-15 01:26

Title

Unauthorized Access to Tracing and Assessment Endpoints in mlflow/mlflow

Summary

In the latest version of mlflow/mlflow, when the `basic-auth` app is enabled, tracing and assessment endpoints are not protected by permission validators. This allows any authenticated user, including those with `NO_PERMISSIONS` on the experiment, to read trace information and create assessments for traces they should not have access to. This vulnerability impacts confidentiality by exposing trace metadata and integrity by allowing unauthorized creation of assessments. Deployments using `mlflow server --app-name=basic-auth` are affected.

Severity

8.1 (High)


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

8.1 (High)


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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-03-27 00:00 UTC

CWE

CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor
CWE-425 - Direct Request ('Forced Browsing')

Assigner

@huntr_ai mitre root

References

4 references

URL	Tags
https://huntr.com/bounties/149fb2f9-ef4b-4136-a25…
https://access.redhat.com/security/cve/CVE-2025-15381	vdb-entryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=2452341	issue-trackingx_refsource_REDHAT
https://security.access.redhat.com/data/csaf/v2/v…	x_sadp-csaf-vex

Impacted products

2 products

Vendor	Product	Version
mlflow	mlflow/mlflow	Affected: unspecified , ≤ latest (custom)
Red Hat	Red Hat OpenShift AI (RHOAI)	cpe:/a:redhat:openshift_ai

Show details on NVD website

JSON

To clipboard

{
  "containers": {
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        "metrics": [
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        "descriptions": [
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            "value": "A flaw was found in mlflow/mlflow. When the `basic-auth` application is enabled, tracing and assessment endpoints lack proper permission validation. This allows any authenticated user, even those without specific permissions on an experiment, to read sensitive trace information and create unauthorized assessments. This vulnerability leads to information disclosure by exposing trace metadata and impacts data integrity by permitting unauthorized modifications."
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        "metrics": [
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            "time": "2026-03-27T16:17:30.328Z",
            "value": "Made public."
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        ],
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GHSA-G6PG-52VF-843H

Vulnerability from github – Published: 2026-03-27 18:31 – Updated: 2026-03-31 23:13

Summary

MLFlow allows Tracing + Assessments Access

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": "0"
            },
            {
              "last_affected": "3.8.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-15381"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-200"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-03-31T23:13:28Z",
    "nvd_published_at": "2026-03-27T17:16:26Z",
    "severity": "HIGH"
  },
  "details": "In the latest version of mlflow/mlflow, when the `basic-auth` app is enabled, tracing and assessment endpoints are not protected by permission validators. This allows any authenticated user, including those with `NO_PERMISSIONS` on the experiment, to read trace information and create assessments for traces they should not have access to. This vulnerability impacts confidentiality by exposing trace metadata and integrity by allowing unauthorized creation of assessments. Deployments using `mlflow server --app-name=basic-auth` are affected.",
  "id": "GHSA-g6pg-52vf-843h",
  "modified": "2026-03-31T23:13:28Z",
  "published": "2026-03-27T18:31:27Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-15381"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/mlflow/mlflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/blob/b569ebc74c14af593c326143bee2df44a5d59edf/mlflow/server/auth/__init__.py#L752"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/149fb2f9-ef4b-4136-a25c-20563451904c"
    }
  ],
  "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 allows Tracing + Assessments Access"
}

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-2026-2657

CVE-2025-15381 (GCVE-0-2025-15381)

GHSA-G6PG-52VF-843H

Tags

Sightings

Nomenclature

Related by attack behaviour