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Security audit

WebChat Image Support

Security checks for vulnerabilities and agentic risk

Overview

This is a small Markdown-only skill that explains automatic image understanding and does not include code, persistence, or hidden execution behavior.

Install this only in environments where users understand that images they send may be analyzed by the configured vision model provider or OpenClaw media pipeline. Avoid sending sensitive screenshots, documents, or photos unless those providers and retention settings are acceptable.

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)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill advertises automatic image handling across channels and providers but does not disclose that user-supplied images may be transmitted to third-party model vendors or a fallback media-processing pipeline. This creates a real privacy and consent risk because users may send sensitive screenshots, documents, or photos without understanding where that data is processed or retained.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
89% confidence
Finding

The usage examples show the agent responding in Chinese, but the skill description does not explain that responses are locale-specific or optional. This can violate language/locale policy expectations because it implies a fixed response language without user opt-in.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.