Vulnerability-Lookup

PYSEC-2024-240

Vulnerability from pysec - Published: 2024-02-23 22:15 - Updated: 2025-04-08 10:23

Details

Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.

This issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook.

The vulnerability stems from lack of sanitization over template variables.

Severity

9.6 (Critical)


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

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"
            },
            {
              "fixed": "2.10.0"
            }
          ],
          "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",
        "2.2.0",
        "2.2.1",
        "2.2.2",
        "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"
      ]
    }
  ],
  "aliases": [
    "CVE-2024-27132",
    "GHSA-6749-m5cp-6cg7"
  ],
  "details": "Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.\n\nThis issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook.\n\nThe vulnerability stems from lack of sanitization over template variables.\n\n",
  "id": "PYSEC-2024-240",
  "modified": "2025-04-08T10:23:24.900947+00:00",
  "published": "2024-02-23T22:15:55+00:00",
  "references": [
    {
      "type": "EVIDENCE",
      "url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/"
    },
    {
      "type": "FIX",
      "url": "https://github.com/mlflow/mlflow/pull/10873"
    },
    {
      "type": "REPORT",
      "url": "https://github.com/mlflow/mlflow/pull/10873"
    },
    {
      "type": "WEB",
      "url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-6749-m5cp-6cg7"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2024-27132 (GCVE-0-2024-27132)

Vulnerability from cvelistv5 – Published: 2024-02-23 21:58 – Updated: 2024-08-14 15:28

Title

Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.

Summary

Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe. This issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over template variables.

Severity

7.5 (High)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-08-14 15:25 UTC

CWE

CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

Assigner

JFROG mitre root

References

2 references

URL	Tags
https://research.jfrog.com/vulnerabilities/mlflow…
https://github.com/mlflow/mlflow/pull/10873

Impacted products

2 products

Vendor	Product	Version
		Affected: 0 , ≤ 2.9.2 (python)
lfprojects	mlflow	Affected: 0 , ≤ 2.9.2 (python) cpe:2.3:a:lfprojects:mlflow::::::::

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-02T00:27:59.403Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_transferred"
            ],
            "url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/"
          },
          {
            "tags": [
              "x_transferred"
            ],
            "url": "https://github.com/mlflow/mlflow/pull/10873"
          }
        ],
        "title": "CVE Program Container"
      },
      {
        "affected": [
          {
            "cpes": [
              "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*"
            ],
            "defaultStatus": "unknown",
            "product": "mlflow",
            "vendor": "lfprojects",
            "versions": [
              {
                "lessThanOrEqual": "2.9.2",
                "status": "affected",
                "version": "0",
                "versionType": "python"
              }
            ]
          }
        ],
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2024-27132",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2024-08-14T15:25:41.784263Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2024-08-14T15:28:19.332Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "collectionURL": "https://pypi.org/project/pip",
          "packageName": "mlflow",
          "versions": [
            {
              "lessThanOrEqual": "2.9.2",
              "status": "affected",
              "version": "0",
              "versionType": "python"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "\u003cp\u003eInsufficient sanitization in MLflow leads to XSS when running an untrusted recipe.\u003c/p\u003e\u003cp\u003eThis issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook.\u003c/p\u003e\u003cp\u003eThe vulnerability stems from lack of sanitization over template variables.\u003c/p\u003e"
            }
          ],
          "value": "Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.\n\nThis issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook.\n\nThe vulnerability stems from lack of sanitization over template variables.\n\n"
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "HIGH",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 7.5,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "format": "CVSS",
          "scenarios": [
            {
              "lang": "en",
              "value": "GENERAL"
            }
          ]
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-79",
              "description": "CWE-79 Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2024-02-23T21:58:59.869Z",
        "orgId": "48a46f29-ae42-4e1d-90dd-c1676c1e5e6d",
        "shortName": "JFROG"
      },
      "references": [
        {
          "url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/"
        },
        {
          "url": "https://github.com/mlflow/mlflow/pull/10873"
        }
      ],
      "source": {
        "discovery": "EXTERNAL"
      },
      "title": "Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe."
    }
  },
  "cveMetadata": {
    "assignerOrgId": "48a46f29-ae42-4e1d-90dd-c1676c1e5e6d",
    "assignerShortName": "JFROG",
    "cveId": "CVE-2024-27132",
    "datePublished": "2024-02-23T21:58:59.869Z",
    "dateReserved": "2024-02-20T11:10:51.334Z",
    "dateUpdated": "2024-08-14T15:28:19.332Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

GHSA-6749-M5CP-6CG7

Vulnerability from github – Published: 2024-02-24 00:30 – Updated: 2025-04-08 17:53

Summary

Cross-site Scripting in MLFlow

Details

Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.

This issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook.

The vulnerability stems from lack of sanitization over template variables.

Severity

9.6 (Critical)


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

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "mlflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.10.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2024-27132"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2024-02-26T20:07:33Z",
    "nvd_published_at": "2024-02-23T22:15:55Z",
    "severity": "CRITICAL"
  },
  "details": "Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.\n\nThis issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook.\n\nThe vulnerability stems from lack of sanitization over template variables.",
  "id": "GHSA-6749-m5cp-6cg7",
  "modified": "2025-04-08T17:53:18Z",
  "published": "2024-02-24T00:30:20Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-27132"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/pull/10873"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/mlflow/mlflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-240.yaml"
    },
    {
      "type": "WEB",
      "url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Cross-site Scripting in MLFlow"
}

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-2024-240

CVE-2024-27132 (GCVE-0-2024-27132)

GHSA-6749-M5CP-6CG7

Tags

Sightings

Nomenclature

Related by attack behaviour