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Security audit

Edvisage Social Kit

Security checks for vulnerabilities and agentic risk

Overview

This social-posting skill is not destructive, but it promotes making AI-run accounts look non-automated and avoiding automation signals.

Install only if you are comfortable with an agent receiving public social-posting guidance that emphasizes appearing non-automated. Require explicit user approval for posts, disclose automation where required, and follow each platform's spam, bot, and account rules.

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
  • 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
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (1)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
97% confidence
Finding

The skill explicitly advertises 'anti-detection posting patterns' and elsewhere recommends randomization and avoidance of predictable patterns that signal automation. That encourages evasion of platform bot-detection and policy enforcement, increasing the likelihood of deceptive behavior, account sanctions, and misuse for astroturfing or spam at scale.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.