Raw vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:HSummary
CVE-2025-6464 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Incsub Forminator. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 39th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
The Forminator Forms – Contact Form, Payment Form & Custom Form Builder plugin for WordPress is vulnerable to PHP Object Injection in all versions up to and including 1.44.2. The flaw arises from unsafe deserialization of untrusted input inside the entry_delete_upload_files function, which accepts a PHAR file and can instantiate attacker-controlled objects. No POP chain exists in the plugin itself, so the issue only becomes exploitable when another plugin or theme supplying a usable chain is also installed on the site.
An unauthenticated attacker can trigger the vulnerability by submitting a specially crafted form entry that is later deleted, either manually by an administrator or automatically according to plugin settings. When a POP chain is present, successful exploitation may allow deletion of arbitrary files, disclosure of sensitive data, or remote code execution, depending on the chain available. The CVSS 7.5 rating reflects the high impact under these conditions combined with the network attack vector and required user interaction.
Advisories and code references from the Wordfence threat intelligence database and the plugin’s Trac repository indicate that the issue is resolved by updating to a version newer than 1.44.2; the published changeset addresses the unsafe deserialization path. The associated EPSS score has remained flat at 0.0215 with no material increase since disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-19712
Vulnerability Data
The Forminator Forms – Contact Form, Payment Form & Custom Form Builder plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 1.44.2 via deserialization of untrusted input in the 'entry_delete_upload_files' function. This makes…
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it possible for unauthenticated attackers to inject a PHP Object through a PHAR file. No known POP chain is present in the vulnerable software, which means this vulnerability has no impact unless another plugin or theme containing a POP chain is installed on the site. If a POP chain is present via an additional plugin or theme installed on the target system, it may allow the attacker to perform actions like delete arbitrary files, retrieve sensitive data, or execute code depending on the POP chain present. Deserialization occurs when the form submission is deleted, whether by an Administrator or via auto-deletion determined by plugin settings.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can uncover deserialization flaws before deployment.
Input validation directly stops deserialization of untrusted data by ensuring inputs are valid before processing.
Engineering principles such as safe deserialization and input sanitization structurally prevent the weakness from being introduced.
Integrity verification tools can detect malformed or tampered serialized data after the fact.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
PR.PS-02 addresses only post-deployment updates/patching and cannot prevent introduction of unsafe deserialization code, yet it can remediate some instances when the flaw exists in outdated libraries or components.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing includes validation of deserialization routines and the use of untrusted data, reducing the likelihood that unsafe object reconstruction will be deployed.
Requiring vetted libraries, regular updates and SAST before release reduces the likelihood that deserialization logic will accept and act on attacker-controlled serialized objects.
Regular scanning of third-party libraries and timely patching reduce the likelihood that unsafe deserialization vulnerabilities remain active.
Mandatory malware scanning of data received over networks or storage media intercepts malicious serialized payloads before they are deserialized by the target application.