Huginn Net – Multi-Protocol Passive Fingerprinting (P0f-Style)
Huginn Net is a passive fingerprinting tool that analyzes TCP, HTTP, and TLS traffic to identify operating systems, applications, and network infrastructure without sending active probes. Built in Rust and based on open-source specifications like p0f and JA4, it supports multi-protocol analysis with high performance and low latency. The tool is modular, offering separate crates for specific protocols and supporting custom signature databases and packet filtering.
- ▪Huginn Net performs passive fingerprinting using TCP, HTTP, and TLS protocols without requiring active probes or tools like Wireshark.
- ▪It is implemented in Rust and leverages p0f for TCP and JA4 for TLS fingerprinting, achieving end-to-end processing of ~3.1ms per packet.
- ▪The system includes separate crates for each protocol layer and supports features like MTU discovery, uptime estimation, and custom signature databases.
- ▪Huginn Net can identify operating systems, browsers, web servers, and network devices based on validated signatures from the p0f database.
- ▪Performance benchmarks show high packet processing rates, scaling with multiple workers across TCP, HTTP, and TLS protocols.
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Huginn Net - Multi-Protocol Passive Fingerprinting Huginn Net fingerprints TCP, HTTP, and TLS traffic passively. No active probes, no tshark, no wireshark. Pure Rust, built entirely on open-source specifications: p0f for TCP and FoxIO's JA4 for TLS. Validated against the original p0f accuracy with ~3.1ms end-to-end per packet. What is Passive Traffic Fingerprinting? Passive fingerprinting infers information about remote hosts without sending any probes. By analyzing TCP/IP packets and TLS handshakes, Huginn Net identifies: Operating Systems - Using p0f-inspired TCP fingerprinting to identify OS type, version, and network stack Applications & Browsers - Using HTTP headers and JA4 TLS client fingerprinting for precise application identification Network Infrastructure - Detecting…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.