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Security audit

discovering-viral-youtube-videos-by-category

Security checks for vulnerabilities and agentic risk

Overview

This skill is a straightforward YouTube trending research helper that uses Apify as disclosed and does not show hidden persistence, local data access, or destructive behavior.

Install this if you are comfortable using Apify and providing an APIFY_TOKEN for YouTube trend lookups. Avoid placing secrets or private data in query parameters or custom mapping functions, and set country/language/maxItems explicitly when you need tighter control.

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
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (4)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The manifest description says the skill triggers when the user asks to 'discover what's trending' and to 'identify viral content ... for inspiration' or 'research what topics are dominating', which are broad natural-language requests rather than a narrow invocation contract. It does not provide exclusion conditions or negative examples, so the activation scope is ambiguous and may overlap with common brainstorming or research requests.

Content

No source excerpt is available for this finding.

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · SKILL.md (reported line 50)May include surrounding context.

REST API fallback

bash
curl -X POST "https://api.apify.com/v2/acts/apidojo~youtube-trending-scraper/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"type": "n", "gl": "us", "hl": "en", "maxItems": 50}'

External Transmission

Medium
Category
Data Exfiltration
Confidence
50% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · SKILL.md (reported line 50)May include surrounding context.

REST API fallback

bash
curl -X POST "https://api.apify.com/v2/acts/apidojo~youtube-trending-scraper/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"type": "n", "gl": "us", "hl": "en", "maxItems": 50}'

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
84% confidence
Finding

The inputs table sets hl to a default of en, which establishes an English locale preference in the skill description. There is no accompanying note that the language is configurable based on user preference or that the default is merely an example, so it may conflict with language-choice policy expectations.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.