Cyber Resilience

CVE-2024-2006

RCE in Wpwax Post Grid\, Slider \& Carousel Ultimate ≤ 1.6.8

Published
13 March 2024
Modified
17 June 2026
Patch / advisory
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 0.012 66th percentile
Risk Priority 68 floored blend · peak EPSS

Summary

CVE-2024-2006 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Wpwax Post Grid\, Slider \& Carousel Ultimate. Its CVSS base score is 8.8 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 34% of CVEs by exploit likelihood; 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.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

The Post Grid, Slider & Carousel Ultimate – with Shortcode, Gutenberg Block & Elementor Widget plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 1.6.7 via deserialization of untrusted input in the outpost_shortcode_metabox_markup…

more

function. This makes it possible for authenticated attackers, with contributor-level access and above, to inject a PHP Object. If a POP chain is present via an additional plugin or theme installed on the target system, it could allow the attacker to delete arbitrary files, retrieve sensitive data, or execute code.

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-2024-13409Same product: Wpwax Post Grid\, Slider \& Carousel Ultimate
CVE-2025-24782Same product: Wpwax Post Grid\, Slider \& Carousel Ultimate
CVE-2024-29925Same product: Wpwax Post Grid\, Slider \& Carousel Ultimate
CVE-2024-1950Same vendor: Wpwax
CVE-2023-1888Same vendor: Wpwax
CVE-2024-3301Shared CWE-502
CVE-2025-43713Shared CWE-502
CVE-2023-33299Shared CWE-502
CVE-2024-8514Shared CWE-502
CVE-2026-68771Shared CWE-502

Affected Assets

wpwax
post grid\, slider \& carousel ultimate
≤ 1.6.8

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.

none

Mandatory malware scanning of data received over networks or storage media intercepts malicious serialized payloads before they are deserialized by the target application.

References