CVE-2024-50450
Pluginus Wordpress Meta Data And Taxonomies Filter ≤ 1.3.3.5
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:LSummary
CVE-2024-50450 is a high-severity Code Injection (CWE-94) vulnerability in Pluginus Wordpress Meta Data And Taxonomies Filter. Its CVSS base score is 7.3 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked in the top 35% 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.
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-2024-50450 is a code injection vulnerability, tracked as CWE-94, that affects the MDTF (Meta Data and Taxonomies Filter) WordPress plugin by RealMag777. The flaw stems from improper control of code generation and impacts all versions through 1.3.3.4, carrying a CVSS 3.1 base score of 7.3.
An unauthenticated attacker with network access can supply crafted input that results in injected code execution. Successful exploitation yields limited impacts to confidentiality, integrity, and availability on the affected site without requiring user interaction or elevated privileges.
The primary advisory reference is the Patchstack vulnerability database entry for this issue, which documents the affected plugin versions and associated bypass behavior. The EPSS score has reached a peak of 0.5407 with a current value of 0.5250, indicating sustained exploitation interest following disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-44878
Vulnerability Data
Improper Control of Generation of Code ('Code Injection') vulnerability in RealMag777 MDTF wp-meta-data-filter-and-taxonomy-filter allows Code Injection.This issue affects MDTF: from n/a through <= 1.3.3.4.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.1
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation finds code paths that accept and execute externally influenced strings.
Input validation directly stops untrusted data from being used to construct executable code without neutralization.
Least privilege limits the damage an injected code fragment can perform once executed.
Requiring documented secure development standards and tools enforces use of safe code-generation APIs and escaping.
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-06's SDLC practices directly target injection flaws via secure coding and testing (mostly), yet as a single broad outcome it leaves many code-generation specifics unaddressed (partial).
PR.DS-10 protects runtime data confidentiality/integrity but has no bearing on neutralizing externally influenced input during code generation, so neither direction shows any preventive effect.
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.
Banning unapproved code samples and unauthenticated web services, combined with secure-coding standards and SAST, prevents the dynamic generation or inclusion of attacker-supplied code.
Controls that restrict unauthorized or malicious code from being introduced via external networks or removable media limit opportunities for an attacker to inject and execute arbitrary code.