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Security audit

OpenClaw Panel

Security checks for vulnerabilities and agentic risk

Overview

This skill coherently controls a user-configured OpenClaw LED panel over HTTP, with physical display and sound effects that are disclosed and purpose-aligned.

Install only if you intend your agent to control the configured panel. Verify OPENCLAW_PANEL_IP points to your own local device, and be aware that commands can change the display, play audible sounds, and persist brightness or volume settings on the panel.

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
  • 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
Content
User: "Show HELLO in green on the panel"
```
curl -s -X POST http://$OPENCLAW_PANEL_IP/api/display/lock
curl -s -X POST http://$OPENCLAW_PANEL_IP/api/display/clear
curl -s -X POST http://$OPENCLAW_PANEL_IP/api/display/text -H "Content-Type: application/json" -d '{"text":"HELLO","x":18,"y":12,"color":"0x07E0","font":"mono_12"}'
```
Confidence
60% confidence
Finding
Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Missing User Warnings

Low
Confidence
81% confidence
Finding
The markdown usage examples include actions such as playing sounds and uploading/playing WAV files on a physical device, which can affect the user's environment or nearby people. The README provides examples of these behaviors but does not include any warning or disclosure about audible output or device-side effects.

Static analysis

No suspicious patterns detected.