Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2026-24763 is a high-severity OS Command Injection (CWE-78) vulnerability in Openclaw Openclaw. Its CVSS base score is 8.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked in the top 9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as LLM Application 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-2026-24763 is a command injection vulnerability (CWE-78) affecting OpenClaw, a personal AI assistant designed to run on users' own devices. Versions prior to 2026.1.29 contain the flaw in OpenClaw's Docker sandbox execution mechanism, caused by unsafe handling of the PATH environment variable during shell command construction.
An authenticated user who can control environment variables is able to exploit the vulnerability to influence command execution within the container context. The CVSS v3.1 base score of 8.8 (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H) indicates that exploitation is feasible over the network with low complexity and low privileges required, potentially resulting in high impacts to confidentiality, integrity, and availability.
The vulnerability is addressed in OpenClaw version 2026.1.29. Mitigation details are provided in the GitHub security advisory (GHSA-mc68-q9jw-2h3v), the release notes for v2026.1.29, and the fixing commit (771f23d36b95ec2204cc9a0054045f5d8439ea75).
As a personal AI assistant, OpenClaw's vulnerability highlights risks in sandboxed AI/ML deployments on local devices, though no real-world exploitation has been reported.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-5401
Vulnerability Data
OpenClaw (formerly Clawdbot) is a personal AI assistant you run on your own devices. Prior to 2026.1.29, a command injection vulnerability existed in OpenClaw’s Docker sandbox execution mechanism due to unsafe handling of the PATH environment variable when constructing shell…
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commands. An authenticated user able to control environment variables could influence command execution within the container context. This vulnerability is fixed in 2026.1.29.
- CWE(s)
AI Security AnalysisAI
- AI Category
- LLM Application 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
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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.