Velociraptor
Velociraptor とは何ですか?
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.
● 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.
● よくある質問
Velociraptor とは何ですか?
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. サイバーセキュリティの フォレンジックと IR カテゴリに属します。
Velociraptor とはどういう意味ですか?
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 はどのように機能しますか?
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.
Velociraptor からどのように防御しますか?
Velociraptor に対する防御は通常、上記の定義で述べたとおり、技術的統制と運用上の実践を組み合わせます。
Velociraptor の別名は何ですか?
一般的な別名: Velociraptor DFIR。
● 関連用語
- forensics-ir№ 343
DFIR(デジタルフォレンジックとインシデントレスポンス)
デジタル証拠調査とインシデント対応を統合し、サイバー事象の検知・封じ込め・根絶・教訓化を行う複合的な領域。
- forensics-ir№ 582
インシデントレスポンス
サイバーインシデントの準備・検知・分析・封じ込め・根絶・復旧を体系的に行い、教訓を反映する組織的プロセス。
- defense-ops№ 1267
スレットハンティング
既存検知をすり抜けた脅威を見つけ出すため、テレメトリを仮説駆動で能動的に探索する取り組み。
- forensics-ir№ 742
メモリフォレンジック
システムの揮発性 RAM を取得・解析し、稼働中プロセス、ネットワーク接続、注入コード、メモリ上の痕跡を明らかにする領域。
- forensics-ir№ 646
KAPE (Kroll Artifact Parser and Extractor)
Kroll が提供する Windows 用トリアージツールで、稼働中のシステムやイメージからフォレンジックアーティファクトを収集し、パーサーモジュールで解析結果を出力する。
- defense-ops№ 1393
YARA ルール
YARA 言語で記述されたテキスト シグネチャで、バイト・文字列・挙動のパターンによりマルウェア サンプルやファイルを分類・検出する。