Disclaimer: This information is for educational and security research purposes only.
is a passive TCP/IP fingerprinting methodology built to uncover the true operating systems of web clients by evaluating data contained in the initial handshake of a connection. Developed primarily via the open-source python framework NikolaiT/zardaxt on GitHub , it serves as a critical defense mechanism in bot detection, proxy/VPN mitigation, and anti-fraud analysis . By analyzing the very first SYN packet transmitted during a TCP 3-way handshake, Zardaxt assigns statistical likelihood scores to candidate operating systems, catching spoofed HTTP headers and emulated browser signatures before a malicious payload ever runs.
) is a tool designed to correlate incoming network connections with specific OS classes. It works by: github.com Packet Inspection zardaxt os scoring link
The "score" is derived from several fields in the IP and TCP headers, including: The maximum lifetime of the packet.
You can view your own live "Zardaxt OS Scoring" result through these popular network analysis platforms: Disclaimer: This information is for educational and security
Unlike active scanners (like Nmap) that send probes to a device, Zardaxt is passive, meaning it observes packets without interrupting the connection.
: It can be used to monitor network health without intrusive scanning. 📊 The Scoring and Matching Logic By analyzing the very first SYN packet transmitted
, to help users see how they are being tracked or scored by websites. github.com 🎯 Use Cases for OS Scoring Proxy Detection
The "scoring" part of the tool compares these observed network traits against a database, assigning weighted scores to various OS classes like Android, Windows, macOS, iOS, and Linux. How the Scoring Algorithm Works
The Zardaxt engine computes mathematical likelihood scores rather than relying on absolute string matching. This prevents network anomalies or localized optimizations from completely breaking the identification mechanism.
to provide a real-time breakdown of your own connection's "signature". manually interpret specific TCP flags to identify an OS yourself?