CVE-2026-2178
Command Injection in R-Huijts Xcode Mcp Server ≤ 2025-08-26
Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XSummary
CVE-2026-2178 is a medium-severity Injection (CWE-74) vulnerability in R-Huijts Xcode Mcp Server. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked in the top 13% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as AI Agent Protocols and Integrations; in the Protocol-Specific Risks 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-2026-2178 is a command injection vulnerability in the r-huijts/xcode-mcp-server project, affecting commits up to f3419f00117aa9949e326f78cc940166c88f18cb. The flaw resides in the registerXcodeTools function within the file src/tools/xcode/index.ts of the run_lldb component, where manipulation of the 'args' argument enables injection. This issue, published on 2026-02-08, carries a CVSS v3.1 base score of 6.3 (AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L) and maps to CWEs-74 and CWE-77.
The vulnerability allows remote exploitation by attackers possessing low privileges, requiring low attack complexity and no user interaction. Successful exploitation enables limited impacts on confidentiality, integrity, and availability, such as executing arbitrary commands on the server. A public exploit exists, heightening the risk for affected deployments.
Due to the project's rolling release model, specific affected and fixed version numbers are unavailable. Mitigation requires applying the patch commit 11f8d6bacadd153beee649f92a78a9dad761f56f from the GitHub repository. Further details, including discovery and resolution, are documented in GitHub issue #13 and related discussions.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-5772
Vulnerability Data
A vulnerability was found in r-huijts xcode-mcp-server up to f3419f00117aa9949e326f78cc940166c88f18cb. This affects the function registerXcodeTools of the file src/tools/xcode/index.ts of the component run_lldb. The manipulation of the argument args results in command injection. It is possible to launch the attack…
more
remotely. The exploit has been made public and could be used. This product takes the approach of rolling releases to provide continious delivery. Therefore, version details for affected and updated releases are not available. The patch is identified as 11f8d6bacadd153beee649f92a78a9dad761f56f. Applying a patch is advised to resolve this issue.
- CWE(s)
AI Security AnalysisAI
- AI Category
- AI Agent Protocols and Integrations
- Risk Domain
- Protocol-Specific Risks
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: mcp
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover command-construction flaws before deployment.
SI-10 directly requires validation of information inputs to reject malformed or special-element content before it reaches downstream parsers.
Secure engineering principles include proper neutralization and safe command construction practices.
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.
Secure SDLC practices directly require input validation and output encoding that prevent injection flaws.
Runtime monitoring of software and data can detect anomalous command execution resulting from injection.
Identifying recorded vulnerabilities enables remediation of command-injection flaws before exploitation.
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.
Secure coding standards require proper escaping and parameterization of commands, directly eliminating CWE-77.
Security testing in development catches injection vulnerabilities before release.
Logging supports detection of injection attempts but does not prevent the weakness.
Monitoring activities can identify active injection attacks after they occur.
Secure development life cycle mandates input validation and output encoding that directly prevent injection flaws.
Application security requirements explicitly call for controls against injection attacks in software design.