Changed Your IP, but Anti-Fraud Systems Still Recognize You? M1D and M1D1 Network Fingerprints

You've changed your IP address, enabled a VPN or proxy, and configured your anti-detect browser. But is that really enough to prevent anti-fraud systems from recognizing your connection?

Most users are familiar with browser fingerprints such as Canvas, WebGL, and User-Agent. But there's another layer of identification: network fingerprints, which are based on the characteristics of TCP, UDP, and QUIC connections.

In this webinar, Vektor T13 takes a deep dive into M1D and M1D1 fingerprinting technologies, explaining how anti-fraud systems analyze network connections and why traditional TCP/IP fingerprint checks don't tell the whole story.

🔍 What You'll Learn:
🔹 M1D and M1D1 — How network fingerprints work and what information they can reveal.
🔹 TCP, UDP, and QUIC — How combinations of network protocols can be used to identify connections.
🔹 VPN vs. SOCKS5 — How their network characteristics differ and what signals can reveal proxy usage.
🔹 Anti-Fraud Systems — How network-level characteristics help detect suspicious connections and automated traffic.
🔹 Hands-On Analysis — Explore browser network activity using Chrome Net Export and NetLog Viewer.
🔹 Modifying Network Parameters — Discover TCP Optimizer, operating system network settings, and the role of Raspberry Pi in network fingerprinting.
💡 Key Takeaway: Changing your IP address is just one piece of your network identity. To truly understand modern anti-fraud systems, you need to look deeper into how network connections actually work.

🎓 Who Is This Webinar For?
Anti-fraud specialists, cybersecurity professionals, network engineers, anti-detect browser developers, and anyone working with proxies, VPNs, and online anonymity.