Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2025-67847 is a high-severity Code Injection (CWE-94) vulnerability in Moodle Moodle. 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 42th 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-2025-67847 is a code injection vulnerability (CWE-94) in Moodle, published on 2026-01-23, with 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). The flaw stems from insufficient validation of input in the restore interface, allowing unintended interpretation by core restore routines. This enables an attacker with access to the restore interface to trigger server-side execution of arbitrary code, potentially leading to full compromise of the Moodle application.
An attacker requires low privileges (PR:L) and network access to exploit this vulnerability with low complexity and no user interaction. Successful exploitation grants high-impact confidentiality, integrity, and availability effects, allowing arbitrary code execution on the server hosting Moodle. This could enable attackers to escalate privileges, steal data, modify content, or disrupt services within the affected Moodle instance.
Further details on mitigation, including patches and workarounds, are available in the Red Hat security advisory at https://access.redhat.com/security/cve/CVE-2025-67847.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-4324
Vulnerability Data
A flaw was found in Moodle. An attacker with access to the restore interface could trigger server-side execution of arbitrary code. This is due to insufficient validation of restore input, which leads to unintended interpretation by core restore routines. Successful…
more
exploitation could result in a full compromise of the Moodle application.
- CWE(s)
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.