Hacktivism has evolved from grassroots digital protests to sophisticated, state-sponsored cyber operations. Check Point Research analyzed 20,000 messages from 35 hacktivist accounts using machine learning and linguistic analysis to reveal hidden connections and operational patterns. The research highlights how geopolitical events drive hacktivist activities, with groups resurfacing during crises to conduct targeted attacks. Stylometric analysis revealed clusters of hacktivist groups with overlapping linguistic fingerprints, indicating shared operators. For example, Cyber Army of Russia Reborn, Solntsepek, and XakNet form one such cluster. Understanding these operations helps improve cyber threat attribution, providing valuable insights into the evolving hacktivism landscape. Hacktivism has undergone […]
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