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Security audit

Blind Boxes

Security checks for vulnerabilities and agentic risk

Overview

This is a simple Chinese-language recommendation skill for influencer blind-box shops and routes, with no code, persistence, credential use, or hidden authority.

Installers should understand this skill is oriented toward Chinese-language, China-region blind-box discovery and trip planning. It appears low risk, but the publisher could improve clarity by explicitly limiting activation to blind-box themed requests and stating how language preference should be handled.

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
  • 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
Findings (2)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The description says the skill should be invoked when users 'search for influencer blind boxes or plan related travel,' which is broader than the concrete capability described in the file. This can cause the skill to activate on general travel-planning requests and inject irrelevant or lower-quality content, creating scope overreach and unsafe routing behavior at the orchestration layer.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
78% confidence
Finding

All visible natural-language content, including the name, description, fields, and examples, is only in Chinese, with no indication that the user can choose another language or that the skill is intentionally limited to Chinese-speaking users. Under the stated policy, forcing a specific language without user opt-in can be a natural-language policy concern.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.