Tp2
High
- Category
- MCP Tool Poisoning
- Confidence
- 85% confidence
- Finding
Mixing characters from multiple Unicode scripts in a single identifier is a common technique to create visually ambiguous tool names.
- Content
Security audit
🇮🇳 印度市场政策查询Skill
Security checks for vulnerabilities and agentic risk
Overview
This is a simple India trade-policy lookup skill with no bundled code, credentials, persistence, or destructive behavior in the inspected artifacts.
Before installing, treat answers as informational only and verify important tariff or compliance decisions against official Indian government sources. The publisher should ideally narrow the broad tariff example and clarify how calibration and language selection work.
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
- Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
- MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
- Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
- Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
- Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (3)
Vague Triggers
Medium
- Category
- Not specified by scanner
- Confidence
- 93% confidence
- Finding
The invocation example '查关税政策' is extremely broad and overlaps with ordinary user policy/trade queries, which can cause the skill to activate unexpectedly for generic prompts. Over-broad triggering can route unrelated conversations into this skill, causing unintended data handling, misleading answers, or interference with other tools better suited to the user's request.
- Content
Natural-Language Policy Violations
Low
- Category
- Not specified by scanner
- Confidence
- 76% confidence
- Finding
The description says the skill provides "多语言智能查询与分析", but it does not explain how the user's preferred language is selected or provide an explicit choice. This may create a locale/language policy concern if the skill defaults to a language without user opt-in.
- Content