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ZenML ZenML Server - Improper Authentication

🗓️ 20 Oct 2026 02:05:18Reported by ProjectDiscoveryType 
nuclei
 nuclei
🔗 github.com👁 72 Views

ZenML Server remote privilege escalation via activate endpoint with valid username and password.

Related
Refs
Code
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27 Feb 202416:26
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CVE-2024-25723
27 Feb 202400:00
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27 Feb 202400:00
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Exploit for Improper Access Control in Zenml
20 Mar 202401:28
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ZenML Server Remote Privilege Escalation Vulnerability
27 Feb 202415:30
–github
kitploit
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19 Oct 202603:40
–kitploit
kittysploit
KittySploit
ZenML ZenML Server - Improper Authentication Detection
28 Jul 202611:27
–kittysploit
mend
Mend
CVE-2024-25723
27 Feb 202400:00
–mend
Rows per page
id: CVE-2024-25723

info:
  name: ZenML ZenML Server - Improper Authentication
  author: David Botelho Mariano
  severity: critical
  description: |
    ZenML Server in the ZenML machine learning package before 0.46.7 for Python allows remote privilege escalation because the /api/v1/users/{user_name_or_id}/activate REST API endpoint allows access on the basis of a valid username along with a new password in the request body.
  impact: |
    Successful exploitation could lead to unauthorized access to sensitive data.
  remediation: |
    Implement proper authentication mechanisms and ensure access controls are correctly configured.
  reference:
    - https://www.zenml.io/blog/critical-security-update-for-zenml-users
    - https://github.com/zenml-io/zenml
    - https://github.com/zenml-io/zenml/compare/0.42.1...0.42.2
    - https://github.com/zenml-io/zenml/compare/0.43.0...0.43.1
    - https://github.com/zenml-io/zenml/compare/0.44.3...0.44.4
  classification:
    epss-score: 0.70785
    epss-percentile: 0.99396
  metadata:
    verified: true
    max-request: 1
    shodan-query: http.favicon.hash:-2028554187
    fofa-query: body="ZenML"
  tags: cve,cve2024,passive,auth-bypass,zenml,vuln

http:
  - method: GET
    path:
      - "{{BaseURL}}/api/v1/info"

    matchers:
      - type: dsl
        dsl:
          - "compare_versions(version, '< 0.46.7')"
          - "!contains_any(version, '0.44.4', '0.43.1', '0.42.2')"
          - "contains_all(body, 'deployment_type', 'database_type')"
        condition: and

    extractors:
      - type: regex
        part: body
        group: 1
        name: version
        regex:
          - '"version":"(.*?)"'
        internal: true
# digest: 4a0a00473045022100b93497b3e5f95e6eed772516a9e858e57f1b6484530a22ee76415c65c2150cd902206054e99ea26518f69771a9d3306fed21461cda396798d8c386a6e07fc7667284:922c64590222798bb761d5b6d8e72950

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04 Feb 2026 07:00Current
7.2High risk
Vulners AI Score7.2
CVSS 3.18.8
EPSS0.70785
SSVC
72