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Security audit

Pipeworx randomuser

Security checks for vulnerabilities and agentic risk

Overview

This skill is a small, disclosed MCP integration for generating fake user profiles, with expected external API use and no local persistence or privilege behavior.

Before installing, confirm you are comfortable sending generation requests to the Pipeworx-hosted MCP endpoint. Treat returned profiles as synthetic test data, avoid mixing them with real personal data, and be mindful that profile picture URLs may cause clients to fetch third-party-hosted images.

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
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • 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 (2)

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 12)May include surrounding context.

generate_by_gender does the same but filtered to male or female.

bash
curl -X POST https://gateway.pipeworx.io/randomuser/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"generate_users","arguments":{"count":3,"nationality":"us,gb"}}}'

Missing User Warnings

Low
Category
Not specified by scanner
Confidence
86% confidence
Finding

The skill advertises generation of realistic user profiles containing personal-looking attributes and third-party profile picture URLs, but it does not warn users about privacy, provenance, or downstream misuse risks. This can mislead users into treating the data as harmless while embedding external image links and realistic identity data into apps, logs, or prompts.

Content

No source excerpt is available for this finding.