Ollama — Herd Your LLMs Into One Smart Endpoint

Security checks across malware telemetry and agentic risk

Overview

This skill is a coherent guide for using a third-party Ollama fleet router, with expected but real privacy and operational considerations.

Install only if every fleet node is trusted to handle your prompts, files, audio, and metadata. Prefer a virtual environment and pinned package version, review the upstream package before installing, keep the router on trusted networks, and confirm auto-pull/model changes before allowing large downloads or remote node state changes.

SkillSpector

By NVIDIA

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

Confidence: 93% confidence
Finding: The skill markets itself as a drop-in endpoint but does not clearly warn users that prompts, uploads, and model requests may be routed to other machines in the fleet and retried automatically. That omission can cause unintended disclosure of sensitive data across hosts or repeated processing without informed user consent, especially in environments where different machines have different trust boundaries.

Missing User Warnings

Medium

Confidence: 91% confidence
Finding: The documentation advertises automatic model downloads but does not warn that enabling this feature triggers network access, consumes disk space, and changes system state on fleet nodes. Users may unknowingly allow large downloads or model installation on remote machines, which can create operational, cost, and compliance risks.

VirusTotal

65/65 vendors flagged this skill as clean.

View on VirusTotal