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Security audit

AI 3D generation

Security checks for vulnerabilities and agentic risk

Overview

This skill is a straightforward guide for using Neural4D APIs to generate, convert, and download 3D assets, with no hidden execution or persistence behavior found.

Before installing, understand that using this skill sends prompts and uploaded images to Neural4D, consumes API points, uses a bearer token, and downloads generated model files. Save outputs in a project directory and handle downloaded assets as files from an external service.

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 (1)

Missing User Warnings

Low
Category
Not specified by scanner
Confidence
87% confidence
Finding

The skill explicitly instructs downloading generated model assets but does not warn that this writes files locally, consumes disk space, or may introduce untrusted externally sourced content into the user's environment. While the downloaded content is described as 3D model data rather than executable code, silent file download behavior still creates a trust and handling risk, especially in automated agent workflows.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.