CRITICAL: CVE-2026-3296 (CVSS 9.8) — multiple products
CVE: CVE-2026-3296
CVSS: 9.8 (3.1) — CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Severity: CRITICAL
Status: Critical advisory
Affected
_See vendor advisory_
Summary
The Everest Forms plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 3.4.3 via deserialization of untrusted input from form entry metadata. This is due to the html-admin-page-entries-view.php file calling PHP's native unserialize() on stored entry meta values without passing the allowed_classes parameter. This makes it possible for unauthenticated attackers to inject a serialized PHP object payload through any public Everest Forms form field. The payload survives sanitize_text_field() sanitization (serialization control characters are not stripped) and is stored in the wp_evf_entrymeta database table. When an administrator views entries or views an individual entry, the unsafe unserialize() call processes the stored data without class restrictions.
Verified Sources
References
- https://plugins.trac.wordpress.org/browser/everest-forms/tags/3.4.3/includes/admin/views/html-admin-page-entries-view.php#L133
- https://plugins.trac.wordpress.org/browser/everest-forms/tags/3.4.3/includes/evf-core-functions.php#L5594
- https://plugins.trac.wordpress.org/browser/everest-forms/trunk/includes/admin/views/html-admin-page-entries-view.php#L133
- https://plugins.trac.wordpress.org/changeset/3489938/everest-forms/tags/3.4.4/readme.txt?old=3464753&old_path=everest-forms%2Ftags%2F3.4.3%2Freadme.txt
- https://plugins.trac.wordpress.org/changeset?old_path=/everest-forms/tags/3.4.3&new_path=/everest-forms/tags/3.4.4
- https://www.wordfence.com/threat-intel/vulnerabilities/id/2693ae37-790d-4b18-a9ec-054c8c27b8bc?source=cve
_Validated by the Lyrie Threat Intelligence Pipeline — 3 independent sources confirmed before publication. No speculation._
Lyrie Verdict
A vulnerability of this severity is exactly what Lyrie's anti-rogue-AI defense is built for: continuous, autonomous monitoring that doesn't wait for human reaction time.
Validated sources
- [1]NVD
- [2]GitHub Advisory
- [3]MITRE