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Security audit

Xiaohongshu Longpost Auto

Security checks for vulnerabilities and agentic risk

Overview

The skill is a disclosed Xiaohongshu publishing automation, but it can automatically post public content under the user's account without a clear final approval step.

Review the post, generated description, generated tags, images, and original-content declaration before allowing this skill to publish. Install only if you are comfortable with an agent using your logged-in Xiaohongshu session to make public posts on your behalf.

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)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill automates AI-generated images and tags but does not clearly warn users that generated assets may be inaccurate, infringe rights, mislabel content, or trigger platform moderation. In a content-publishing automation skill, this omission is security-relevant because users may unknowingly publish risky or non-compliant content under their own account.

Content

No source excerpt is available for this finding.

Missing User Warnings

Low
Category
Not specified by scanner
Confidence
90% confidence
Finding

The skill automates AI-generated images and tags but does not clearly warn users that generated assets may be inaccurate, infringe rights, mislabel content, or trigger platform moderation. In a content-publishing automation skill, this omission is security-relevant because users may unknowingly publish risky or non-compliant content under their own account.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.