Back to skill

Security audit

Gate Exchange Multi-Collateral Loan

Security checks across malware telemetry and agentic risk

Overview

This skill appears purpose-built for Gate multi-collateral loans, but it deserves Review because it can change real crypto loan positions and its routing/runtime scope is broader than ideal.

Install only if you intend an agent to help manage Gate multi-collateral loans. Use the least-privileged Gate credentials available, verify you are using the intended Gate MCP/source, and manually confirm every order ID, asset, amount, rate, LTV, and collateral change before approving any write action.

SkillSpector

By NVIDIA
Vulnerability Patterns
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • 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
Findings (2)

Vague Triggers

Medium
Confidence
89% confidence
Finding
The skill advertises activation on generic finance phrases like 'repay' and related loan terms, which are common in many benign financial conversations. That increases the chance the skill is invoked outside the user's intended context, potentially leading the agent into authenticated account queries or preparing write actions for the wrong task flow.

Vague Triggers

Medium
Confidence
94% confidence
Finding
Allowing activation on 'equivalent in other languages' without a bounded vocabulary or exclusion list makes routing ambiguous and hard to audit. In multilingual settings, unrelated borrowing, lending, or repayment requests could be misclassified into this skill, causing unintended use of sensitive authenticated tools or transaction-preparation flows.

VirusTotal

65/65 vendors flagged this skill as clean.

View on VirusTotal

Static analysis

No suspicious patterns detected.