apify-influencer-discovery

Fail

Audited by Gen Agent Trust Hub on Oct 23, 2026

Risk Level: HIGHCOMMAND_EXECUTIONCREDENTIALS_UNSAFEINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADS
Full Analysis
  • [COMMAND_EXECUTION]: The workflow in SKILL.md (Steps 2 and 4) instructs the agent to run shell commands that interpolate variables such as ACTOR_ID and JSON_INPUT directly into the command line. This pattern is highly susceptible to command injection if the agent does not properly escape or validate the user-provided inputs, allowing for arbitrary code execution on the host system.
  • [CREDENTIALS_UNSAFE]: The skill instructs the agent to read a sensitive APIFY_TOKEN from a .env file and use it in shell commands (e.g., export $(grep APIFY_TOKEN .env | xargs)). This exposes the credential in the process environment and potentially in shell history or logs.
  • [INDIRECT_PROMPT_INJECTION]: The skill processes data from external social media platforms (Instagram, TikTok, Facebook, YouTube) via Apify. Since this content is attacker-controlled or untrusted, it could contain malicious instructions designed to manipulate the agent's summary or influence subsequent tool calls.
  • [EXTERNAL_DOWNLOADS]: The skill makes network requests to api.apify.com to trigger actor runs and download dataset results. This is a documented interaction with the Apify service.
  • [SAFE_PRACTICE]: The included run_actor.js script implements basic CSV injection mitigation in the csvCell function by escaping values that start with sensitive characters like =, +, @, or -.
Recommendations
  • AI detected serious security threats
Audit Metadata
Risk Level
HIGH
Analyzed
Oct 23, 2026, 02:29 PM