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Security audit

tiktok-influencer

Security checks for vulnerabilities and agentic risk

Overview

This skill is a clearly scoped TikTok creator video collection workflow that relies on a disclosed Gecho MCP server, Chrome extension, TikTok session, and optional local JSON output.

Before installing, confirm you are comfortable using the Gecho Chrome extension, a logged-in Gecho account, and your active TikTok browser session for this workflow. Treat saved JSON exports as local data files that may contain creator metadata, captions, links, and engagement metrics, and store or share them accordingly.

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
  • System Prompt LeakageDirect Leakage, Indirect Extraction, Tool-Based Exfiltration
  • 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 (2)

Direct Prompt Extraction

High
Category
System Prompt Leakage
Confidence
85% confidence
Finding

Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.

Content

Scanner excerpt · SKILL.md (reported line 329)May include surrounding context.

md
Join the [WeCom group](https://github.com/gecho-ai/gecho-bridge/blob/main/qywx.jpg) for community support, or scan the [1:1 support QR code](https://github.com/gecho-ai/gecho-bridge/blob/main/wx.jpg) for personal help.

## Output guidelines

For successful runs:

Missing User Warnings

Low
Category
Not specified by scanner
Confidence
84% confidence
Finding

This markdown skill description states that the full raw creator-video result set will be saved locally, which affects user data handling on the system. While the behavior is described, there is no explicit warning or caution about local storage, file location sensitivity, or review before saving, which fits the missing user warnings criterion for markdown files.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.