Raw vector
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2025-31692 is a high-severity OS Command Injection (CWE-78) vulnerability in Artificial Intelligence Project Artificial Intelligence. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked in the top 49% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Enterprise AI Assistants; in the Other ATLAS/OWASP Terms 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-2025-31692 is an OS Command Injection vulnerability (CWE-78) in the Drupal AI (Artificial Intelligence) module, stemming from improper neutralization of special elements used in OS commands. This flaw affects all versions of the module from 0.0.0 up to but not including 1.0.5. The vulnerability carries a CVSS v3.1 base score of 7.5 (AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H), indicating high potential impact despite elevated attack complexity.
A low-privileged user (PR:L) can exploit this over the network (AV:N) without user interaction (UI:N), though it requires high attack complexity (AC:H) and does not change scope (S:U). Successful exploitation allows the attacker to achieve high impacts on confidentiality, integrity, and availability (C:I:A:H), enabling arbitrary OS command execution on the hosting server.
The Drupal security advisory at https://www.drupal.org/sa-contrib-2025-021 details the issue and mitigation, recommending an upgrade to Drupal AI version 1.0.5 or later to address the vulnerability.
This vulnerability is notable for affecting a Drupal module specifically designed for artificial intelligence functionalities, highlighting potential risks in AI-integrated web applications. No public information on real-world exploitation is available as of the CVE publication on 2025-03-31.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-9013
Vulnerability Data
Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') vulnerability in Drupal AI (Artificial Intelligence) allows OS Command Injection.This issue affects AI (Artificial Intelligence): from 0.0.0 before 1.0.5.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Enterprise AI Assistants
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai, artificial intelligence
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.2.5V1.2.8V15.2.5
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover missing or incorrect command sanitization during development.
Input validation directly neutralizes or rejects special characters that would otherwise alter OS command structure.
Least privilege reduces the permissions available to any process that could be subverted by injected commands.
Least functionality restricts available OS commands and interpreters, limiting the blast radius of injection.
Secure engineering principles require proper neutralization of untrusted input before command construction.
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 require secure coding and input handling that blocks command-injection defects, yet the single broad outcome leaves many specific neutralization vectors and verification gaps unaddressed.
Routine patching/maintenance can remediate known command-injection CVEs in dependencies (partial forward) but does nothing to stop developers from introducing improper neutralization in custom code (none reverse).
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 and code review target insecure use of operating-system command interfaces, catching command-injection flaws introduced during development.