CVE-2026-12240
Published: 30 June 2026
Summary
CVE-2026-12240 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Wordpress (inferred from references). Its CVSS base score is 8.0 (High).
Operationally, ranked at the 26.0th 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-2026-40260
Vulnerability details
The Export User Data plugin for WordPress is vulnerable to arbitrary file deletion due to insufficient file path validation in the unserialize function in all versions up to, and including, 2.2.6. This makes it possible for authenticated attackers, with subscriber-level…
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access and above, to delete arbitrary files on the server, which can easily lead to remote code execution when the right file is deleted (such as wp-config.php). Successful exploitation requires an administrator to trigger a user data export while a subscriber-level (or higher) user has stored a crafted serialized XLSXWriter object payload as their display name.
- 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.