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Analysis & spreadsheets35k · #5773

fleet-hunting-with-velociraptor

Allows your agent to hunt for threats across many computers simultaneously. It's useful for investigating large-scale attacks and collecting security data without reformatting machines.

What it does

Velociraptor is a tool that helps search for suspicious activity across many computers simultaneously. It allows you to create custom searches to find specific information, like malicious programs or unusual behaviors, throughout your network.

When to use it

  • ✓When you need to search for a specific behavior across hundreds or thousands of computers.
  • ✓To collect security information from computers without reformatting them during an investigation.
  • ✓To create programs that collect data from computers not connected to the main network.

Example of what to ask your AI

“Search for any computer running a suspicious PowerShell script.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/mukul975/Anthropic-Cybersecurity-Skills/blob/main/skills/fleet-hunting-with-velociraptor/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/mukul975/Anthropic-Cybersecurity-Skills/blob/main/skills/fleet-hunting-with-velociraptor/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

You set up a central server and install small programs (agents) on the computers you want to monitor. Then, you write search commands (VQL) that are sent to all agents to collect the desired information.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill fleet-hunting-with-velociraptor

Or download just the file:

curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/fleet-hunting-with-velociraptor/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Fleet Hunting with Velociraptor

Authorized Use Only: Velociraptor agents provide deep endpoint visibility and remote collection. Deploy only on assets you own or are authorized to monitor, in accordance with your monitoring policy and applicable law.

Overview

Velociraptor is an open-source endpoint visibility and digital-forensics platform from Rapid7/Velocidex. A single Go binary acts as server, client (agent), and CLI depending on how it is invoked and configured. Its power comes from VQL (Velociraptor Query Language) — an SQL-like language whose plugins query the live state of an endpoint (processes, files, registry, event logs, WMI, network connections, prefetch, etc.). VQL queries are packaged into reusable Artifacts, and Artifacts are run at scale as Hunts that fan out across every connected client and stream results back to the server as structured rows.

This makes Velociraptor ideal for fleet-wide threat hunting: a hypothesis ("are any hosts running suspicious PowerShell?") becomes a VQL artifact, deployed as a hunt, with results aggregated centrally in minutes. It also supports offline collectors (standalone executables that collect and bundle artifacts on air-gapped or unmanaged hosts) and live forensic notebooks.

When to Use

  • Hunting for a TTP across hundreds or thousands of endpoints from a single console.
  • Collecting forensic artifacts on demand during incident response without re-imaging.
  • Continuously monitoring for an indicator using client-side event artifacts.
  • Generating standalone offline collectors for hosts you cannot enroll.

Prerequisites

  • A Linux or Windows host for the server (Linux recommended for production).
  • The Velociraptor binary from the official release page: https://github.com/Velocidex/velociraptor/releases
  • Outbound/inbound connectivity from clients to the server frontend port (default 8000) and admin GUI (default 8889).
  • Make the binary executable on Linux:
    chmod +x velociraptor-v0.*-linux-amd64
    sudo mv velociraptor-v0.*-linux-amd64 /usr/local/bin/velociraptor
    

Objectives

  • Generate server and client configurations.
  • Run the server frontend and admin GUI.
  • Enroll clients across the fleet.
  • Author and test VQL hunts.
  • Launch a fleet-wide hunt and collect results.
  • Produce an offline collector for unmanaged hosts.

MITRE ATT&CK Mapping

ID Official Technique Name Relevance to this skill
T1059 Command and Scripting Interpreter A primary hunt target — VQL artifacts surface anomalous interpreter execution (PowerShell, cmd, wscript) across the fleet for detection and triage.

Velociraptor is a defensive hunting platform; the mapping reflects the adversary behavior the hunts are designed to detect.

Workflow

1. Generate the server configuration

The interactive generator writes a server config (TLS, datastore paths, GUI users, frontend URL). Use config generate for a self-signed lab build or the interactive -i wizard for production.

# Non-interactive: dump a default server config
velociraptor config generate > server.config.yaml

# Interactive wizard (recommended for production deployments)
velociraptor config generate -i

2. Add a GUI admin user

Create at least one administrator to log into the console.

velociraptor --config server.config.yaml user add admin --role administrator

3. Start the server frontend and GUI

The frontend accepts client connections; the GUI is served per the config (default https://127.0.0.1:8889).

velociraptor --config server.config.yaml frontend -v

For a quick all-in-one local lab (server + frontend + a local client in one process):

velociraptor gui

4. Generate the client configuration and deploy agents

Derive the client config from the server config and run it as the client on each endpoint.

# Produce the client config (embeds server URL + CA)
velociraptor --config server.config.yaml config client > client.config.yaml

# On a Linux endpoint, run as a client (or install as a service)
velociraptor --config client.config.yaml client -v

On Windows, build an MSI/service installer from the GUI ("Server Artifacts" > deployment) or run:

velociraptor.exe --config client.config.yaml service install

5. Test VQL interactively before hunting

…

FAQ

What is VQL?

VQL is a query language similar to SQL that Velociraptor uses to search for information on computers. It allows you to query details like running processes, files, and logs.

What are 'Artifacts'?

Artifacts are like packages that bundle VQL queries. They make it easier to reuse and run complex searches across many computers.

Can I use this on computers not on my network?

Yes, Velociraptor can create 'offline collectors,' which are standalone programs to gather data from computers that are not connected to the network.

Details

Original description by the author

Deploy a Velociraptor server and agents, then author VQL (Velociraptor Query Language) artifacts and run them as fleet-wide hunts, on-demand forensic collections, or standalone offline collectors. Use when hunting a TTP across hundreds or thousands of endpoints, collecting forensic artifacts during incident response without re-imaging, or generating collectors for unmanaged/air-gapped hosts.

repo: mukul975/Anthropic-Cybersecurity-Skills

Popularity

GitHub stars
35k
Ranking position
#5773
License
Apache-2.0
Updated
8/31/2026

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