: The tool parses raw metrics and maps them to generalized patterns.
Once started, the web server will be accessible on port 8249, and you can hit the /classify endpoint as described above.
You can test how your current connection is parsed by Zardaxt via live verification utilities such as the BrowserLeaks TCP/IP Fingerprint Tool or the IPRoyal TCP/IP Fingerprint Checker . The Mechanics of Passive TCP/IP Fingerprinting
Because every operating system developer designs their core networking stack differently, different systems (such as Windows, macOS, Linux, iOS, and Android) set highly specific initial variables. Zardaxt reads these variables, extracts their entropy, and runs a comparison algorithm to generate an OS score. Technical Metrics Analyzed by the Scoring Algorithm zardaxt os scoring link
The definitive signature of any OS stack is the structure and ordering of its optional TCP extensions. The engine translates the sequence of attributes like Maximum Segment Size (MSS), Selective Acknowledgement (SACK), Timestamps, and Window Scaling factors into a single string format. The Mathematics of the Scoring Engine
The community is actively discussing the future of passive OS fingerprinting, especially in the context of multi‑protocol approaches (e.g., combining TCP/IP with TLS and HTTP/2 fingerprints). Zardaxt remains a foundational tool in this space because of its simplicity, accuracy, and ready‑to‑use HTTP API.
is an open-source, passive TCP/IP fingerprinting tool designed to determine a client's true operating system by analyzing network packet headers. In modern web infrastructure, malicious actors often spoof their browser identities via modified HTTP User-Agents or anti-detect browsers. Tools utilizing the Zardaxt OS Scoring link model allow system administrators, fraud prevention engines, and security platforms—such as BrowserLeaks —to cross-reference application-layer data with underlying network-layer behavior to spot inconsistencies. : The tool parses raw metrics and maps
func main() link := "zardaxt://scoring/v3/evaluate?model_id=fraud&apikey=abc123" score, err := client.Score(link, []byte( "ip":"1.2.3.4" ))
—a probability distribution of which OS is most likely behind the connection. BrowserLeaks Why Use Zardaxt Scoring? The primary goal of Zardaxt is mismatch detection
NikolaiT/zardaxt: Passive TCP/IP Fingerprinting Tool ... - GitHub The Mechanics of Passive TCP/IP Fingerprinting Because every
Most VPN protocols operate at the network layer, so the SYN packet still originates from the VPN server’s TCP stack. Therefore, a VPN connection does normally cause an os_mismatch . However, when combined with other signals (e.g., TLS fingerprints), Zardaxt can still contribute to a multi‑faceted detection system.
Zardaxt OS Scoring: Android (57%), Linux (44%), Windows (30%), macOS (17%), iOS (16%) How the Scoring Logic Operates
NikolaiT/zardaxt: Passive TCP/IP Fingerprinting Tool ... - GitHub