Turning evasion into detection: Beacons represent one of the most difficult-to-detect stages in an attack, enabling stealthy command-and-control (C2) communication long after the initial compromise, thereby threatening data theft, lateral movement, or ransomware deployment.As attackers tweak C2 profiles, shuffle payloads, or obfuscate binaries for evasion against the static detection methods, Jitter-Trap attempts a defense reinvention by focusing on behavioral metadata that attackers can’t easily disguise.”Even if initial security measures fail to recognize and block a beacon sample, the detection of beacon traffic during the post-exploitation phase remains crucial,” Garmiza added. ” Jitter-Trap demonstrates how patterns of randomness, often employed for evasion, can be leveraged to uncover the presence of such traffic.”The blog post noted that since jitter-like patterns rarely occur in normal traffic, just 4% compared to 8% for consistent polling, Jitter Trap stands out as a high-precision detection tool in real-world environments.”Detection of cyber attack patterns is the first and most crucial step in cybersecurity,” said Pareekh Jain, CEO and lead analyst at Pareekh Consulting. “Predefined cybersecurity processes provide predictability, enabling attackers to plan their moves. Introducing randomness into these processes can improve early detection and prevention. This is exactly what solutions such as Jitter-Trap aim to do, disrupt predictability by injecting randomness into the system.”
First seen on csoonline.com
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