ClawHub
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Security audit

Mini Crm

Security checks for vulnerabilities and agentic risk

Overview

This is a simple CRM instruction skill with expected customer-data examples and no executable, network, persistence, or privilege behavior.

Install only if you are comfortable using a Chinese-language CRM helper and handling customer records through it. Treat names, contact handles, emails, budgets, and deal notes as sensitive business data; minimize what you enter, avoid secrets, and follow your own retention and sharing rules.

A.I.G

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

SkillSpector

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)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The skill clearly handles customer personal data, including names, WeChat IDs, email addresses, interaction history, and budget information, but provides no privacy notice, sensitivity warning, or guidance on appropriate handling. This increases the risk that users will input, store, or expose personal or business-sensitive data without considering consent, retention, minimization, or disclosure risks.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
88% confidence
Finding

All user-facing instructions, examples, and output formats are written in Chinese, with no indication that users may choose another language. Under the policy, forcing a specific language without opt-in can be a natural-language policy violation unless the locale restriction is documented and justified.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.