JA4 Fingerprint
JA4 Fingerprint とは何ですか?
JA4 FingerprintA 2023 successor to JA3, published by John Althouse at FoxIO, that produces structured, human-readable TLS, HTTP, SSH, and TCP fingerprints designed to remain robust as TLS clients evolve and to be paired across protocols.
JA4 (and the JA4+ family — JA4S, JA4H, JA4X, JA4SSH, JA4T, JA4L) is a 2023 evolution of JA3 published by John Althouse at FoxIO. Where JA3 produced an opaque MD5, JA4 produces a structured string with explicit fields and a small truncated hash, so a fingerprint is both human-readable and trivially groupable by partial match. JA4 covers more parts of the handshake (e.g. signature algorithms, ALPN, the actual TLS version negotiated vs. the offered one) and ignores well-known fields that change for noise reasons, making the resulting fingerprint more stable across TLS-extension shuffling. JA4S fingerprints the server's response, JA4H fingerprints HTTP requests, JA4X fingerprints X.509 certificate issuers, JA4T fingerprints raw TCP options, JA4L estimates light-latency on the path, and JA4SSH fingerprints SSH client handshakes. The license is BSD-3, and integrations exist in Zeek, Wireshark, Suricata, Cloudflare's edge, and several commercial NDR products. JA4-based detections increasingly replace or complement JA3 in modern threat-hunt content.
● 例
- 01
An NDR product tags a high-confidence Cobalt Strike beacon by matching its JA4 fingerprint plus a JA4H HTTP header pattern.
- 02
A defender writes a Suricata rule that alerts on any TLS client whose JA4 matches a known Go-`net/http` malware family but whose JA4H differs from the legitimate Go SDK signature.
● よくある質問
JA4 Fingerprint とは何ですか?
A 2023 successor to JA3, published by John Althouse at FoxIO, that produces structured, human-readable TLS, HTTP, SSH, and TCP fingerprints designed to remain robust as TLS clients evolve and to be paired across protocols. サイバーセキュリティの ネットワークセキュリティ カテゴリに属します。
JA4 Fingerprint とはどういう意味ですか?
A 2023 successor to JA3, published by John Althouse at FoxIO, that produces structured, human-readable TLS, HTTP, SSH, and TCP fingerprints designed to remain robust as TLS clients evolve and to be paired across protocols.
JA4 Fingerprint はどのように機能しますか?
JA4 (and the JA4+ family — JA4S, JA4H, JA4X, JA4SSH, JA4T, JA4L) is a 2023 evolution of JA3 published by John Althouse at FoxIO. Where JA3 produced an opaque MD5, JA4 produces a structured string with explicit fields and a small truncated hash, so a fingerprint is both human-readable and trivially groupable by partial match. JA4 covers more parts of the handshake (e.g. signature algorithms, ALPN, the actual TLS version negotiated vs. the offered one) and ignores well-known fields that change for noise reasons, making the resulting fingerprint more stable across TLS-extension shuffling. JA4S fingerprints the server's response, JA4H fingerprints HTTP requests, JA4X fingerprints X.509 certificate issuers, JA4T fingerprints raw TCP options, JA4L estimates light-latency on the path, and JA4SSH fingerprints SSH client handshakes. The license is BSD-3, and integrations exist in Zeek, Wireshark, Suricata, Cloudflare's edge, and several commercial NDR products. JA4-based detections increasingly replace or complement JA3 in modern threat-hunt content.
JA4 Fingerprint からどのように防御しますか?
JA4 Fingerprint 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。
JA4 Fingerprint の別名は何ですか?
一般的な別名: JA4+, JA4S, JA4H, JA4X。
● 関連用語
- network-security№ 628
JA3 Fingerprint
A TLS client fingerprinting method by John Althouse, Jeff Atkinson, and Josh Atkins (Salesforce, 2017) that hashes the ordered TLS ClientHello parameters into a 32-character MD5 — used to identify and group TLS clients without inspecting payload.
- network-security№ 1280
TLS ハンドシェイク
Transport Layer Security の初期プロトコル交換で、サーバ(必要に応じてクライアント)を認証し、それ以降のセッションを暗号化する対称鍵を導出する。
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TLS(トランスポート層セキュリティ)
IETF が標準化した暗号プロトコルで、ネットワーク上の 2 つのアプリケーション間の通信に機密性・完全性・認証を提供する。
- defense-ops№ 338
ディテクションエンジニアリング
脅威モデルに基づいて検知をコードとして設計・テスト・展開・運用し、攻撃手法に対する網羅性を測定可能にする実践分野。
- network-security№ 326
ディープパケットインスペクション(DPI)
ヘッダだけでなくパケットのペイロード全体を検査し、アプリケーション・コンテンツ・脅威を識別する技術。
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侵入検知システム(IDS)
ネットワークやホストの活動を監視し、悪意のある挙動を検出してアラートを発する受動的なセキュリティ統制。トラフィックは遮断しない。