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Security audit

TikTok-社媒运营专家 | 青虎AI

Security checks for vulnerabilities and agentic risk

Overview

This is a disclosed TikTok trend-analysis skill that uses a Qinghu API token and may export larger results locally, with no evidence of hidden code or destructive behavior.

Before installing, be comfortable sharing a Qinghu API token with the agent environment and sending TikTok research queries to Qinghu's API. Expect the skill to ask for approval before API calls and to report Qinghu credit usage, and remember that larger result sets may be exported to local files that you may need to manage or delete.

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
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • 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
95% confidence
Finding

The skill’s trigger text uses mandatory activation language for broad, common planning requests such as asking for topic ideas or a content calendar. That can cause the agent to invoke this skill in situations where the user did not intend external TikTok/青虎 data access, increasing the chance of unnecessary third-party requests, credential prompting, and billed tool usage.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The skill instructs automatic export of large result sets to a local file and says not to ask the user first. Automatic local file creation can write potentially sensitive or proprietary data to disk without explicit user consent, and the follow-on instruction to reuse cached local file paths increases the risk of unintended data persistence and exposure across later steps.

Content

No source excerpt is available for this finding.