ClawHub
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Security audit

Every claw deserves a page for himself

Security checks for vulnerabilities and agentic risk

Overview

This skill is a privacy-sensitive but coherent tool for creating and publishing memory-derived personal pages, with no evidence of hidden execution or malicious behavior.

Before installing or using this skill, review what memory-derived sections and media will appear, customize visibility before publishing, and assume anything sent to a public URL could be copied or indexed. Pay special attention to future updates if the page automatically changes as new memories are added.

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
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • 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 (1)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
96% confidence
Finding

The skill advertises generating and publishing a shareable page from memory profiles, identity sentences, photos, voice memos, and locations, but it does not clearly warn users that invoking publish creates a public page from highly personal, memory-derived data. This omission can lead to unintended disclosure of sensitive personal information because users may not understand the privacy consequences of generation, customization, or publication workflows.

Content

No source excerpt is available for this finding.