AI-generated Slopoly malware used in Interlock ransomware attack
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7 Articles
A group of cybercriminals used a malware likely generated using a language model during a ransomware attack. Remarked by IBM X-Force, this PowerShell script called Slopoly allowed attackers to keep access to the compromised server for more than a week.
A new malicious code called "Slopoly" slumbered more than a week unnoticed on a compromised server and stole data. Security researchers assume that the malware was developed using generative AI. (Continue reading)
Slopoly: AI-Generated Malware Used By Hive0163 In Attacks
Researchers have identified a suspected case of AI-generated malware being used during a ransomware attack. The malware, which analysts dubbed "Slopoly," was linked to a financially motivated cybercrime group tracked as Hive0163. The appearance of Slopoly in an active ransomware intrusion suggests that cybercriminal groups are beginning to experiment with AI-generated malware as part of their operational toolkit. Hive0163 and the Experimentatio…
Hive0163 Uses AI-Assisted Slopoly Malware for Persistent Access in Ransomware Attacks - Cybernoz - Cybersecurity News
Ravie LakshmananMar 12, 2026Artificial Intelligence / Malware Cybersecurity researchers have disclosed details of a suspected artificial intelligence (AI)-generated malware codenamed Slopoly put to use by a financially motivated threat actor named Hive0163. “Although still relatively unspectacular, AI-generated malware such as Slopoly shows how easily threat actors can weaponize AI to develop new malware frameworks in a fraction of the time i…
Hive0163 Uses AI-Assisted Slopoly Malware for Persistent Access in Ransomware Attacks
Cybersecurity researchers have disclosed details of a suspected artificial intelligence (AI)-generated malware codenamed Slopoly put to use by a financially motivated threat actor named Hive0163. "Although still relatively unspectacular, AI-generated malware such as Slopoly shows how easily threat actors can weaponize AI to develop new malware frameworks in a fraction of the time it used to take
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