Velociraptor
Velociraptor 是什么?
VelociraptorAn open-source endpoint-visibility and DFIR platform — originally by Mike Cohen, now Rapid7-stewarded — that uses the VQL query language to hunt, collect artifacts, and respond live across fleets of Windows, Linux, and macOS hosts.
Velociraptor is an open-source DFIR and endpoint-visibility platform built around a custom query language called VQL (Velociraptor Query Language). A Velociraptor server orchestrates lightweight agents on Windows, Linux, and macOS endpoints; analysts write or pick VQL artifacts that collect specific evidence (registry hives, MFT, $UsnJrnl, browser history, Sysmon events, persistence locations, memory captures, YARA hits) or perform live response actions (kill process, isolate host, dump memory). Velociraptor is unusually flexible compared to traditional EDR: artifacts are version-controlled YAML+VQL, so a community library of hunts and forensic collectors is published and reused widely (Rapid7's velociraptor-artifacts repo, the SANS community list). Use cases include large-scale hunting across thousands of hosts, bulk artifact collection during IR, evidence preservation, and continuous endpoint monitoring. Originally written by Mike Cohen (also behind GRR), Velociraptor was acquired by Rapid7 in 2021 but remains AGPL-licensed open source with active community development.
● 示例
- 01
An IR team deploys Velociraptor across 5,000 endpoints to hunt for a specific YARA-detected backdoor and collect MFT + Prefetch + Amcache wherever it matches.
- 02
An incident playbook fires a Velociraptor 'Acquire Triage' hunt that pulls a Kape-equivalent artifact set from every endpoint into the server within an hour.
● 常见问题
Velociraptor 是什么?
An open-source endpoint-visibility and DFIR platform — originally by Mike Cohen, now Rapid7-stewarded — that uses the VQL query language to hunt, collect artifacts, and respond live across fleets of Windows, Linux, and macOS hosts. 它属于网络安全的 取证与应急响应 分类。
Velociraptor 是什么意思?
An open-source endpoint-visibility and DFIR platform — originally by Mike Cohen, now Rapid7-stewarded — that uses the VQL query language to hunt, collect artifacts, and respond live across fleets of Windows, Linux, and macOS hosts.
Velociraptor 是如何工作的?
Velociraptor is an open-source DFIR and endpoint-visibility platform built around a custom query language called VQL (Velociraptor Query Language). A Velociraptor server orchestrates lightweight agents on Windows, Linux, and macOS endpoints; analysts write or pick VQL artifacts that collect specific evidence (registry hives, MFT, $UsnJrnl, browser history, Sysmon events, persistence locations, memory captures, YARA hits) or perform live response actions (kill process, isolate host, dump memory). Velociraptor is unusually flexible compared to traditional EDR: artifacts are version-controlled YAML+VQL, so a community library of hunts and forensic collectors is published and reused widely (Rapid7's velociraptor-artifacts repo, the SANS community list). Use cases include large-scale hunting across thousands of hosts, bulk artifact collection during IR, evidence preservation, and continuous endpoint monitoring. Originally written by Mike Cohen (also behind GRR), Velociraptor was acquired by Rapid7 in 2021 but remains AGPL-licensed open source with active community development.
如何防御 Velociraptor?
针对 Velociraptor 的防御通常结合技术控制与运营实践,详见上方完整定义。
Velociraptor 还有哪些其他名称?
常见的别称包括: Velociraptor DFIR。
● 相关术语
- forensics-ir№ 343
DFIR(数字取证与事件响应)
将数字取证调查与事件响应相结合的综合学科,用于检测、遏制、清除并总结网络安全事件。
- forensics-ir№ 582
事件响应
针对网络安全事件进行准备、检测、分析、遏制、根除和恢复并总结经验教训的有组织流程。
- defense-ops№ 1267
威胁狩猎
基于假设的主动搜索,深入遥测数据,发现绕过现有检测的威胁。
- forensics-ir№ 742
内存取证
获取并分析系统易失性 RAM 的取证学科,用以揭示运行进程、网络连接、注入代码及内存中的痕迹。
- forensics-ir№ 646
KAPE (Kroll 工件解析与提取器)
由 Kroll 推出的 Windows 取证分流工具,可从在线系统或镜像中收集取证工件,并通过解析模块生成可直接审查的结果。
- defense-ops№ 1393
YARA 规则
采用 YARA 语言编写的文本签名,通过字节、字符串或行为模式对恶意软件样本和文件进行分类与检测。