Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2025-9334 is a high-severity Code Injection (CWE-94) vulnerability in Wordpress (inferred from references). Its CVSS base score is 8.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked at the 41th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Other Platforms; in the Supply Chain and Deployment risk domain.
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-2025-9334 is a limited code injection vulnerability affecting the Better Find and Replace – AI-Powered Suggestions plugin for WordPress in all versions up to and including 1.7.7. The issue stems from insufficient input validation and restrictions in the 'rtafar_ajax' function, classified under CWE-94 (Code Injection). 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 across confidentiality, integrity, and availability.
Authenticated attackers with Subscriber-level access or higher can exploit this vulnerability remotely with low complexity and no user interaction required. By leveraging the flawed 'rtafar_ajax' function, they can invoke arbitrary plugin functions and execute code within those functions, potentially leading to unauthorized data access, modification, or disruption within the affected WordPress environment.
Advisories and references, including a Wordfence threat intelligence report, highlight specific code locations such as RTAFAR_CustomAjax.php (line 29), DbReplacer.php (line 507), and Util.php (line 233) in the plugin's trunk repository. A changeset at plugins.trac.wordpress.org/changeset/3389979/ likely documents remediation efforts, urging administrators to update the plugin beyond version 1.7.7 or restrict access to the vulnerable AJAX endpoint.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-38363
Vulnerability Data
The Better Find and Replace – AI-Powered Suggestions plugin for WordPress is vulnerable to Limited Code Injection in all versions up to, and including, 1.7.7. This is due to insufficient input validation and restriction on the 'rtafar_ajax' function. This makes…
more
it possible for authenticated attackers, with Subscriber-level access and above, to call arbitrary plugin functions and execute code within those functions.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Other Platforms
- Risk Domain
- Supply Chain and Deployment
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
—
—
—
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.