CVE-2025-15031 (GCVE-0-2025-15031)

Vulnerability from cvelistv5 – Published: 2026-03-18 22:06 – Updated: 2026-07-15 01:27
VLAI
Title
Path Traversal Vulnerability in mlflow/mlflow
Summary
A vulnerability in MLflow's pyfunc extraction process allows for arbitrary file writes due to improper handling of tar archive entries. Specifically, the use of `tarfile.extractall` without path validation enables crafted tar.gz files containing `..` or absolute paths to escape the intended extraction directory. This issue affects the latest version of MLflow and poses a high/critical risk in scenarios involving multi-tenant environments or ingestion of untrusted artifacts, as it can lead to arbitrary file overwrites and potential remote code execution.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-03-19 13:52 UTC
CWE
  • CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Impacted products
Vendor Product Version CPE status
mlflow mlflow/mlflow Affected: unspecified , ≤ latest (custom)
guessed Create a notification for this product.
Red Hat Red Hat OpenShift AI (RHOAI)     cpe:/a:redhat:openshift_ai
Create a notification for this product.
Show details on NVD website

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            "orgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
            "shortName": "@huntr_ai"
          },
          "references": [
            {
              "url": "https://huntr.com/bounties/09856f77-f968-446f-a930-657d126efe4e"
            }
          ],
          "source": {
            "advisory": "09856f77-f968-446f-a930-657d126efe4e",
            "discovery": "EXTERNAL"
          },
          "title": "Path Traversal Vulnerability in mlflow/mlflow"
        }
      },
      "cveMetadata": {
        "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
        "assignerShortName": "@huntr_ai",
        "cveId": "CVE-2025-15031",
        "datePublished": "2026-03-18T22:06:47.300Z",
        "dateReserved": "2025-12-22T14:49:46.957Z",
        "dateUpdated": "2026-06-30T12:07:23.273Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}



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Taxonomy of the tags.


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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.

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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.


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