What Velociraptor is

Velociraptor is written in Go and published under the GNU Affero General Public License version 3, with Rapid7 as its steward. Server and client are the same binary, built for Windows, Linux and macOS. The client runs as a service on each endpoint and keeps a connection open to the server, which has a web interface and an API. The unit of work is an artefact, a YAML file that wraps a query in the Velociraptor Query Language with named parameters. Built-in artefacts cover Windows event logs, NTFS metadata, evidence of program execution, Linux logs and macOS persistence locations among many others, and a laboratory can write its own. An examiner collects an artefact from one host or hunts it across the fleet, and the results are stored on the server for review in notebooks.

Three features matter for forensic work beyond the live fleet. The offline collector is a preconfigured binary that gathers chosen artefacts into an encrypted zip with no server at all, for an isolated machine or for a field officer to run, and the zip can be imported into a server later. Dead disk analysis runs artefacts over a mounted image instead of a live system. Event artefacts use sources such as Windows ETW and Linux eBPF for continuous monitoring. At the time of checking the current release was 0.77.3 of 5 October 2026 and the documentation carried a notice to update from 0.77.2 because of several published vulnerabilities, a reminder that the server holds evidence and must be patched like any other exposed system.

Primary applications

Where it is used

  • Fleet-wide triage after a compromise is suspected
  • Hunting one indicator, such as a file hash or a scheduled task name, across every endpoint
  • Collecting the same artefact set a KAPE target would gather, from many hosts at once
  • Offline collection from a machine on an isolated network
  • Running artefacts over a mounted disk image
  • Continuous event collection on monitored hosts during an incident

Who uses it

  • Incident response teams
  • Enterprise security teams
  • Forensic consultants collecting from client networks
  • Researchers writing artefacts

Capabilities and limits

Major capabilities

  • Single binary for server and client on Windows, Linux and macOS
  • Velociraptor Query Language for collection, monitoring and server automation
  • Library of artefacts, each editable and parameterised
  • Hunts that run one collection across the whole fleet
  • Offline collector producing an encrypted zip without a server
  • Dead disk analysis over mounted images
  • Event monitoring through Windows ETW and Linux eBPF sources
  • Notebooks for collaborative review and a server API for automation
  • Bulk file acquisition with hashing and metadata

Technical limitations

  • Installing an agent changes the host. The installation time and account must be recorded
  • Collection is logical. It does not produce a disk image or read unallocated space
  • The query language has a learning curve and most real work needs it
  • The server is an attractive target and needs hardening and prompt updates, as the release notices show
  • Results depend on artefact definitions keeping pace with operating system versions
  • A hunt that reads file contents across thousands of hosts can overload the network and the server

Learning with DFRTI

Independent professional education covering the principles and workflows of Velociraptor. DFRTI is not a vendor training centre and its courses are not vendor certifications.

Before you learn it

  • Windows, Linux and macOS artefact knowledge
  • Comfort with SQL-style queries
  • Server administration and TLS basics

Disciplines

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