cvelistv5 - cve-2023-1177

▼	URL	Tags
	security@huntr.dev	https://github.com/mlflow/mlflow/pull/7891/commits/7162a50c654792c21f3e4a160eb1a0e6a34f6e6e	Patch
	security@huntr.dev	https://huntr.dev/bounties/1fe8f21a-c438-4cba-9add-e8a5dab94e28	Exploit, Patch, Third Party Advisory

▼	Vendor	Product
	mlflow	mlflow/mlflow

pysec-2023-29

Vulnerability from pysec

Published

2023-03-24 15:15

Modified

2023-05-04 03:49

Details

Path Traversal: '..\filename' in GitHub repository mlflow/mlflow prior to 2.2.1.

Aliases

CVE-2023-1177

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "mlflow",
        "purl": "pkg:pypi/mlflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "7162a50c654792c21f3e4a160eb1a0e6a34f6e6e"
            }
          ],
          "repo": "https://github.com/mlflow/mlflow",
          "type": "GIT"
        },
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.2.1"
            }
          ],
          "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"
      ]
    }
  ],
  "aliases": [
    "CVE-2023-1177"
  ],
  "details": "Path Traversal: \u0027\\..\\filename\u0027 in GitHub repository mlflow/mlflow prior to 2.2.1.",
  "id": "PYSEC-2023-29",
  "modified": "2023-05-04T03:49:46.618607Z",
  "published": "2023-03-24T15:15:00Z",
  "references": [
    {
      "type": "EVIDENCE",
      "url": "https://huntr.dev/bounties/1fe8f21a-c438-4cba-9add-e8a5dab94e28"
    },
    {
      "type": "FIX",
      "url": "https://huntr.dev/bounties/1fe8f21a-c438-4cba-9add-e8a5dab94e28"
    },
    {
      "type": "WEB",
      "url": "https://huntr.dev/bounties/1fe8f21a-c438-4cba-9add-e8a5dab94e28"
    },
    {
      "type": "FIX",
      "url": "https://github.com/mlflow/mlflow/commit/7162a50c654792c21f3e4a160eb1a0e6a34f6e6e"
    }
  ]
}

gsd-2023-1177

Vulnerability from gsd

Modified

2023-12-13 01:20

Details

Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.2.1.

Aliases

CVE-2023-1177

Aliases

CVE-2023-1177

JSON

To clipboard

{
  "GSD": {
    "alias": "CVE-2023-1177",
    "id": "GSD-2023-1177"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2023-1177"
      ],
      "details": "Path Traversal: \u0027\\..\\filename\u0027 in GitHub repository mlflow/mlflow prior to 2.2.1.\n\n",
      "id": "GSD-2023-1177",
      "modified": "2023-12-13T01:20:42.089682Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "security@huntr.dev",
        "ID": "CVE-2023-1177",
        "STATE": "PUBLIC"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "mlflow/mlflow",
                    "version": {
                      "version_data": [
                        {
                          "version_affected": "\u003c",
                          "version_name": "unspecified",
                          "version_value": "2.2.1"
                        }
                      ]
                    }
                  }
                ]
              },
              "vendor_name": "mlflow"
            }
          ]
        }
      },
      "data_format": "MITRE",
      "data_type": "CVE",
      "data_version": "4.0",
      "description": {
        "description_data": [
          {
            "lang": "eng",
            "value": "Path Traversal: \u0027\\..\\filename\u0027 in GitHub repository mlflow/mlflow prior to 2.2.1.\n\n"
          }
        ]
      },
      "generator": {
        "engine": "Vulnogram 0.1.0-dev"
      },
      "impact": {
        "cvss": [
          {
            "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"
          }
        ]
      },
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "cweId": "CWE-29",
                "lang": "eng",
                "value": "CWE-29 Path Traversal: \u0027\\..\\filename\u0027"
              }
            ]
          }
        ]
      },
      "references": {
        "reference_data": [
          {
            "name": "https://huntr.dev/bounties/1fe8f21a-c438-4cba-9add-e8a5dab94e28",
            "refsource": "MISC",
            "url": "https://huntr.dev/bounties/1fe8f21a-c438-4cba-9add-e8a5dab94e28"
          },
          {
            "name": "https://github.com/mlflow/mlflow/pull/7891/commits/7162a50c654792c21f3e4a160eb1a0e6a34f6e6e",
            "refsource": "MISC",
            "url": "https://github.com/mlflow/mlflow/pull/7891/commits/7162a50c654792c21f3e4a160eb1a0e6a34f6e6e"
          }
        ]
      },
      "source": {
        "advisory": "1fe8f21a-c438-4cba-9add-e8a5dab94e28",
        "discovery": "EXTERNAL"
      }
    },
    "gitlab.com": {
      "advisories": [
        {
          "affected_range": "\u003c2.2.2",
          "affected_versions": "All versions before 2.2.2",
          "cwe_ids": [
            "CWE-1035",
            "CWE-29",
            "CWE-937"
          ],
          "date": "2023-03-24",
          "description": "Path Traversal: \u0027\\..\\filename\u0027 in GitHub repository mlflow/mlflow prior to 2.2.1.",
          "fixed_versions": [
            "2.2.2"
          ],
          "identifier": "CVE-2023-1177",
          "identifiers": [
            "GHSA-xg73-94fp-g449",
            "CVE-2023-1177"
          ],
          "not_impacted": "All versions starting from 2.2.2",
          "package_slug": "pypi/mlflow",
          "pubdate": "2023-03-24",
          "solution": "Upgrade to version 2.2.2 or above.",
          "title": "Path Traversal: \u0027\\..\\filename\u0027",
          "urls": [
            "https://github.com/mlflow/mlflow/security/advisories/GHSA-xg73-94fp-g449",
            "https://nvd.nist.gov/vuln/detail/CVE-2023-1177",
            "https://github.com/mlflow/mlflow/commit/7162a50c654792c21f3e4a160eb1a0e6a34f6e6e",
            "https://huntr.dev/bounties/1fe8f21a-c438-4cba-9add-e8a5dab94e28",
            "https://github.com/advisories/GHSA-xg73-94fp-g449"
          ],
          "uuid": "ee8fd8cc-518e-472d-84b7-e83d52faf9e1"
        }
      ]
    },
    "nvd.nist.gov": {
      "configurations": {
        "CVE_data_version": "4.0",
        "nodes": [
          {
            "children": [],
            "cpe_match": [
              {
                "cpe23Uri": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
                "cpe_name": [],
                "versionEndExcluding": "2.2.1",
                "vulnerable": true
              }
            ],
            "operator": "OR"
          }
        ]
      },
      "cve": {
        "CVE_data_meta": {
          "ASSIGNER": "security@huntr.dev",
          "ID": "CVE-2023-1177"
        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "en",
              "value": "Path Traversal: \u0027\\..\\filename\u0027 in GitHub repository mlflow/mlflow prior to 2.2.1.\n\n"
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "en",
                  "value": "CWE-29"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://huntr.dev/bounties/1fe8f21a-c438-4cba-9add-e8a5dab94e28",
              "refsource": "CONFIRM",
              "tags": [
                "Exploit",
                "Patch",
                "Third Party Advisory"
              ],
              "url": "https://huntr.dev/bounties/1fe8f21a-c438-4cba-9add-e8a5dab94e28"
            },
            {
              "name": "https://github.com/mlflow/mlflow/pull/7891/commits/7162a50c654792c21f3e4a160eb1a0e6a34f6e6e",
              "refsource": "MISC",
              "tags": [
                "Patch"
              ],
              "url": "https://github.com/mlflow/mlflow/pull/7891/commits/7162a50c654792c21f3e4a160eb1a0e6a34f6e6e"
            }
          ]
        }
      },
      "impact": {
        "baseMetricV3": {
          "cvssV3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 9.8,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "exploitabilityScore": 3.9,
          "impactScore": 5.9
        }
      },
      "lastModifiedDate": "2023-11-02T18:15Z",
      "publishedDate": "2023-03-24T15:15Z"
    }
  }
}

ghsa-xg73-94fp-g449

Vulnerability from github

Published

2023-03-24 22:01

Modified

2024-10-01 19:24

Severity ?

9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
9.3 (Critical) - CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Summary

mlflow is vulnerable to remote file access in `mlflow server` and `mlflow ui` CLIs

Details

Impact

Users of the MLflow Open Source Project who are hosting the MLflow Model Registry using the mlflow server or mlflow ui commands using an MLflow version older than MLflow 2.2.1 may be vulnerable to a remote file access exploit if they are not limiting who can query their server (for example, by using a cloud VPC, an IP allowlist for inbound requests, or authentication / authorization middleware).

This issue only affects users and integrations that run the mlflow server and mlflow ui commands. Integrations that do not make use of mlflow server or mlflow ui are unaffected; for example, the Databricks Managed MLflow product and MLflow on Azure Machine Learning do not make use of these commands and are not impacted by these vulnerabilities in any way.

The vulnerability detailed in https://nvd.nist.gov/vuln/detail/CVE-2023-1177 enables an actor to download arbitrary files unrelated to MLflow from the host server, including any files stored in remote locations to which the host server has access.

Patches

This vulnerability has been patched in MLflow 2.2.1, which was released to PyPI on March 2nd, 2023. If you are using mlflow server or mlflow ui with the MLflow Model Registry, we recommend upgrading to MLflow 2.2.1 as soon as possible.

Workarounds

If you are using the MLflow open source mlflow server or mlflow ui commands, we strongly recommend limiting who can access your MLflow Model Registry and MLflow Tracking servers using a cloud VPC, an IP allowlist for inbound requests, authentication / authorization middleware, or another access restriction mechanism of your choosing.

If you are using the MLflow open source mlflow server or mlflow ui commands, we also strongly recommend limiting the remote files to which your MLflow Model Registry and MLflow Tracking servers have access. For example, if your MLflow Model Registry or MLflow Tracking server uses cloud-hosted blob storage for MLflow artifacts, make sure to restrict the scope of your server's cloud credentials such that it can only access files and directories related to MLflow.

References

More information about the vulnerability is available at https://nvd.nist.gov/vuln/detail/CVE-2023-1177.

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 2.2.0"
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "mlflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.2.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2023-1177"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-22",
      "CWE-29"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2023-03-24T22:01:09Z",
    "nvd_published_at": "2023-03-24T15:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "### Impact\n\nUsers of the MLflow Open Source Project who are hosting the MLflow Model Registry using the `mlflow server` or `mlflow ui` commands using an MLflow version older than MLflow 2.2.1 may be vulnerable to a remote file access exploit if they are not limiting who can query their server (for example, by using a cloud VPC, an IP allowlist for inbound requests, or authentication / authorization middleware).\n\nThis issue only affects users and integrations that run the `mlflow server` and `mlflow ui` commands. Integrations that do not make use of `mlflow server` or `mlflow ui` are unaffected; for example, the Databricks Managed MLflow product and MLflow on Azure Machine Learning do not make use of these commands and are not impacted by these vulnerabilities in any way.\n\nThe vulnerability detailed in https://nvd.nist.gov/vuln/detail/CVE-2023-1177 enables an actor to download arbitrary files unrelated to MLflow from the host server, including any files stored in remote locations to which the host server has access.\n\n### Patches\nThis vulnerability has been patched in MLflow 2.2.1, which was released to PyPI on March 2nd, 2023. If you are using `mlflow server` or `mlflow ui` with the MLflow Model Registry, we recommend upgrading to MLflow 2.2.1 as soon as possible.\n\n### Workarounds\nIf you are using the MLflow open source `mlflow server` or `mlflow ui` commands, we strongly recommend limiting who can access your MLflow Model Registry and MLflow Tracking servers using a cloud VPC, an IP allowlist for inbound requests, authentication / authorization middleware, or another access restriction mechanism of your choosing.\n\nIf you are using the MLflow open source `mlflow server` or `mlflow ui` commands, we also strongly recommend limiting the remote files to which your MLflow Model Registry and MLflow Tracking servers have access. For example, if your MLflow Model Registry or MLflow Tracking server uses cloud-hosted blob storage for MLflow artifacts, make sure to restrict the scope of your server\u0027s cloud credentials such that it can only access files and directories related to MLflow.\n\n### References\nMore information about the vulnerability is available at https://nvd.nist.gov/vuln/detail/CVE-2023-1177.",
  "id": "GHSA-xg73-94fp-g449",
  "modified": "2024-10-01T19:24:26Z",
  "published": "2023-03-24T22:01:09Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/security/advisories/GHSA-xg73-94fp-g449"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-1177"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/pull/7891/commits/7162a50c654792c21f3e4a160eb1a0e6a34f6e6e"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/commit/7162a50c654792c21f3e4a160eb1a0e6a34f6e6e"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/mlflow/mlflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-29.yaml"
    },
    {
      "type": "WEB",
      "url": "https://huntr.dev/bounties/1fe8f21a-c438-4cba-9add-e8a5dab94e28"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "mlflow is vulnerable to remote file access in `mlflow server` and `mlflow ui` CLIs"
}

Action not permitted

cve-2023-1177

Vulnerability from cvelistv5

pysec-2023-29

Vulnerability from pysec

gsd-2023-1177

Vulnerability from gsd

ghsa-xg73-94fp-g449

Vulnerability from github

Impact

Patches

Workarounds

References

Tags