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Security audit

LLM Deploy

Security checks for vulnerabilities and agentic risk

Overview

This skill is a transparent guide for deploying vLLM model servers over SSH, with no bundled executable code or hidden behavior found.

Install only if you are comfortable using Chinese documentation and understand that the workflow can start long-running model services on remote GPU servers via SSH. Review server names, ports, model paths, and model aliases before running commands, especially the example that names a DeepSeek service `gpt-4o-mini`.

Vulnerability Patterns
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs
Vulnerability Patterns
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (2)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The file’s user-facing description and instructions are consistently presented in Chinese, which effectively forces a specific language for using the skill. Under the policy, language constraints should either offer user choice or be clearly documented as justified for a specific locale or audience.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
97% confidence
Finding

The user-facing documentation is written entirely in Chinese, including installation and usage instructions, with no indication that other languages are supported or that the skill is intentionally limited to a Chinese-speaking audience. Under the language/locale policy, this is a natural-language constraint that should either be optional, user-selected, or explicitly justified.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.