CVE-2024-21627
Published: 02 January 2024
Summary
CVE-2024-21627 is a high-severity Improper Input Validation (CWE-20) vulnerability in Prestashop Prestashop. Its CVSS base score is 8.1 (High).
Operationally, ranked in the top 23.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-0457
Vulnerability details
PrestaShop is an open-source e-commerce platform. Prior to versions 8.1.3 and 1.7.8.11, some event attributes are not detected by the `isCleanHTML` method. Some modules using the `isCleanHTML` method could be vulnerable to cross-site scripting. Versions 8.1.3 and 1.7.8.11 contain a…
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patch for this issue. The best workaround is to use the `HTMLPurifier` library to sanitize html input coming from users. The library is already available as a dependency in the PrestaShop project. Beware though that in legacy object models, fields of `HTML` type will call `isCleanHTML`.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Directly implements checks on information inputs to reject invalid data before processing.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.