The Visual Footprints of Hackers

This text explains how cybersecurity experts use DNS traffic analysis to identify malicious behavior through specific visual patterns. The author describes various attack signatures, such as periodic Trojan communications, data theft through random subdomains, and the constant rotation of IP addresses to evade blocking. It also explains how the use of old domains or fraud sites generates spikes in activity that reveal the presence of an active threat. To process this volume of information, specialists use artificial intelligence tools that transform raw data into understandable graphs. Ultimately, this methodology makes it possible to visually detect and block attacks before a critical information leak occurs.