CVE-2025-11993
Published: 29 May 2026
Summary
CVE-2025-11993 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Codecanyon (inferred from references). Its CVSS base score is 8.8 (High).
Operationally, ranked at the 29.7th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-209981
Vulnerability details
The WooCommerce Infinite Scroll and Ajax Pagination plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 1.8 via the 'settings' parameter in the 'import_settings' function. This is due to deserialization of untrusted data…
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supplied via the import configuration feature without capability checks. This makes it possible for authenticated attackers, with Subscriber-level access and above, to inject a PHP Object. No POP chain is present within the vulnerable plugin itself, but if a POP chain is present via an additional plugin or theme installed on the target system, it could allow an attacker to delete arbitrary files, retrieve sensitive data, or execute code.
- 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.
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.