CVE-2024-24302
Published: 03 March 2024
Summary
CVE-2024-24302 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Prestalife Product Designer. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked in the top 17.9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-21724
Vulnerability details
An issue was discovered in Tunis Soft "Product Designer" (productdesigner) module for PrestaShop before version 1.178.36, allows remote attackers to execute arbitrary code, escalate privileges, and obtain sensitive information via the postProcess() method.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The vulnerability allows remote attackers to exploit a public-facing PrestaShop module for arbitrary code execution (T1190: Exploit Public-Facing Application) and privilege escalation (T1068: Exploitation for Privilege Escalation), facilitating sensitive information disclosure.
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.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Evaluation of untrusted data handling (deserialization testing) reveals unsafe processing, which the required remediation process addresses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Validates or rejects untrusted serialized data before deserialization occurs.
Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.
Integrity verification of serialized information can detect tampering before deserialization occurs.
Provenance of associated data allows detection of untrusted sources before deserialization or processing occurs.