
Professional vulnerability assessment report for LiteLLM command injection risk, including executive summary, technical impact, remediation, and mitigation strategy.
Consultant-Style Cybersecurity Report
Professional vulnerability assessment report for LiteLLM command injection risk, including executive summary, technical impact, remediation, and mitigation strategy.
| Field | Details |
|---|---|
| Report Type | Vulnerability Assessment Report |
| Engagement Context | Security Research |
| Primary Focus | Application Security |
| Audience | Security teams, engineering teams, hiring managers |
| Output Style | Executive summary, technical analysis, business impact, remediation roadmap |
| Publication State | Sanitized for public portfolio review |
[!IMPORTANT] This report is intentionally sanitized for public GitHub publication. Sensitive identifiers, credentials, infrastructure values, and client-specific evidence are replaced with clear placeholders.
[!TIP] For a fast review, start with the Executive Summary and Impact sections. For technical depth, continue into Technical Analysis and Remediation.
CVE-2026-42271 - LiteLLM AI Gateway MCP Command Injection RCE
تم اكتشاف ثغرة أمنية حرجة في بوابة LiteLLM AI Gateway تسمح لمهاجم مُوثَّق (مُصادق) بتنفيذ أوامر عشوائية على الخادم المُستَضيف. تستغل الثغرة نقاط النهاية الخاصة باختبار Model Context Protocol (MCP)، حيث تقبل هذه النقاط تكويناً كاملاً لخادم MCP يُرسله المهاجم، يشمل حقول command و args و env، دون أي تنقية أو تدقيق أمني.
| Attribute | Value |
|---|---|
| Identifier | CVE-2026-42271 |
| CVSS / Severity | 8.8 |
| Weakness Class | CWE-77: Improper Neutralization of Special Elements used in a Command |
The weakness was assessed from an application-security and infrastructure-risk perspective. The core issue is classified as RCE and was documented in a sanitized form suitable for public portfolio publication.
pip install --upgrade litellm
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## 🧠 Lessons Learned & Mitigation Strategy
- Treat every integration boundary as untrusted, especially when application logic forwards user-controlled values to filesystems, shells, parsers, or external tools.
- Security reviews should validate the complete exploit chain, not only the first vulnerable endpoint; low-severity misconfigurations can become critical when chained.
- Public-facing documentation should describe risk, root cause, and remediation without exposing operational identifiers, credentials, or reusable exploitation artifacts.
- Defensive controls should combine preventive validation, runtime least privilege, telemetry, and patch governance to reduce both exploitability and blast radius.
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## 🧼 Publication Sanitization Notes
- Sensitive infrastructure identifiers, IP addresses, hostnames, credentials, hashes, and e-mail addresses were replaced with explicit placeholders.
- Reusable operational evidence was minimized or abstracted to keep the document suitable for public GitHub publication.
- The document uses a consultant-style structure aligned with common web security testing report practices such as OWASP WSTG reporting expectations.
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**Prepared as a professional cybersecurity portfolio report**
Focused on clear risk communication, practical remediation, and defensive improvement.
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| Affected Scope | 1.74.2 حتى 1.83.6 |
| Fixed Version | 1.83.7 وما فوق |
| العنصر | التفاصيل |
|---|
| CVE | CVE-2026-42271 |
| CVSS | 8.8 (High) |
| النوع | Command Injection |
| المنتج | LiteLLM AI Gateway |
| الإصدارات المتأثرة | 1.74.2 حتى 1.83.6 |
| الإصدار المُصحَّح | 1.83.7 وما فوق |
| اكتُشِفت بواسطة | AMN SECURITY Research |