Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:LSummary
CVE-2026-27487 is a high-severity OS Command Injection (CWE-78) vulnerability in Openclaw Openclaw. Its CVSS base score is 7.6 (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.
This vulnerability is AI-related — categorised as Enterprise AI Assistants; 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-2026-27487 is an OS command injection vulnerability (CWE-78) affecting OpenClaw, a personal AI assistant, in versions 2026.2.13 and prior. The issue arises specifically on macOS during the Claude CLI keychain credential refresh process, where the application constructs a shell command using the `security add-generic-password -w` utility to store an updated JSON blob containing OAuth tokens. Since these tokens are user-controlled, they enable injection of arbitrary commands into the shell execution.
The vulnerability has a CVSS v3.1 base score of 7.6 (AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:L), indicating exploitation over the network with low complexity, requiring low privileges and user interaction. A low-privileged user or attacker with network access can exploit it by supplying a malicious OAuth token—potentially via phishing or a compromised authentication flow—tricking the victim into triggering the credential refresh. Successful exploitation allows arbitrary command execution on the macOS host, resulting in high confidentiality and integrity impacts, such as data theft or system modification, with low availability disruption.
Mitigation is available in OpenClaw version 2026.2.14, as detailed in the project's GitHub release notes and related commits (e.g., 66d7178f2d6f9d60abad35797f97f3e61389b70c, 9dce3d8bf83f13c067bc3c32291643d2f1f10a06, b908388245764fb3586859f44d1dff5372b19caf) and pull request #15924, which address the insecure shell command construction. Security practitioners should urge users to update immediately and review macOS keychain access patterns in similar CLI tools handling user-controlled inputs.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-7712
Vulnerability Data
OpenClaw is a personal AI assistant. In versions 2026.2.13 and below, when using macOS, the Claude CLI keychain credential refresh path constructed a shell command to write the updated JSON blob into Keychain via security add-generic-password -w .... Because OAuth…
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tokens are user-controlled data, this created an OS command injection risk. This issue has been fixed in version 2026.2.14.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Enterprise AI Assistants
- Risk Domain
- Supply Chain and Deployment
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai, claude
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.