Cyber Resilience

CVE-2025-68531

RCE

Published
20 February 2026
Modified
15 April 2026
CVSS Score v3.1 8.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.0034 27th percentile
Risk Priority 63 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2025-68531 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability. Its CVSS base score is 8.8 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 27th 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.

CVE-2025-68531 is a Deserialization of Untrusted Data vulnerability (CWE-502) in the ModelTheme Addons for WPBakery and Elementor plugin (modeltheme-addons-for-wpbakery) for WordPress. It enables PHP Object Injection by allowing untrusted data to be deserialized. The vulnerability affects all versions of the plugin from its initial release through versions prior to 1.5.6. It carries a CVSS v3.1 base score of 8.8 (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H), indicating high severity due to its potential for significant impact.

An attacker with low-privilege authenticated access (PR:L) can exploit this vulnerability over the network (AV:N) with low complexity (AC:L) and no user interaction required (UI:N). Successful exploitation could lead to high confidentiality, integrity, and availability impacts (C:H/I:H/A:H), potentially allowing arbitrary code execution, data manipulation, or denial of service on the affected WordPress site.

Patchstack advisories recommend updating the ModelTheme Addons for WPBakery and Elementor plugin to version 1.5.6 or later, which addresses the object injection vulnerability. Additional details are available in the Patchstack vulnerability database at https://patchstack.com/database/Wordpress/Plugin/modeltheme-addons-for-wpbakery/vulnerability/wordpress-modeltheme-addons-for-wpbakery-and-elementor-plugin-1-5-6-php-object-injection-vulnerability?_s_id=cve.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Deserialization of Untrusted Data vulnerability in modeltheme ModelTheme Addons for WPBakery and Elementor modeltheme-addons-for-wpbakery allows Object Injection.This issue affects ModelTheme Addons for WPBakery and Elementor: from n/a through < 1.5.6.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
T1203 Exploitation for Client Execution Execution
Adversaries may exploit software vulnerabilities in client applications to execute code.
T1210 Exploitation of Remote Services Lateral Movement
Adversaries may exploit remote services to gain unauthorized access to internal systems once inside of a network.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-49063Shared CWE-502
CVE-2026-31232Shared CWE-502
CVE-2024-7432Shared CWE-502
CVE-2025-60038Shared CWE-502
CVE-2026-39578Shared CWE-502
CVE-2026-66583Shared CWE-502
CVE-2024-55556Shared CWE-502
CVE-2023-3324Shared CWE-502
CVE-2025-33252Shared CWE-502
CVE-2024-20253Shared CWE-502

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 none match
prevents

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.

finds

Security testing includes validation of deserialization routines and the use of untrusted data, reducing the likelihood that unsafe object reconstruction will be deployed.

prevents

Requiring vetted libraries, regular updates and SAST before release reduces the likelihood that deserialization logic will accept and act on attacker-controlled serialized objects.

finds

Regular scanning of third-party libraries and timely patching reduce the likelihood that unsafe deserialization vulnerabilities remain active.

References