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Unmasking EDR killers: Insights beyond the drivers

EDR Killers: Evolving Tools in Ransomware Operations TL;DR ESET researchers reveal an increasing reliance on EDR killers in ransomware attacks, highlighting their role in disabling endpoint detection and response solutions before the deployment of encryptors. The...

Exploring the role of AI in modern malware tactics

AI Integration in Malware: Insights from Unit 42 Research TL;DR: Unit 42 researchers have identified malware leveraging large language models (LLMs) primarily for command-and-control operations and information extraction. Despite its implementation, the LLM usage...

Exploring the security dilemmas of AI agents in cybersecurity

Emerging Risks in Open Source AI Ecosystems The rise of open-source AI tools has introduced significant security risks, as highlighted by Unit 42 in their recent report. The Clawdbot agent, which gained immense popularity for its autonomous operating capabilities,...

Unveiling the Horabot campaign: Strategies to detect this stealthy malware

Horabot Campaign Targets Users with Sophisticated Phishing Techniques Threat intelligence from Kaspersky highlights the ongoing threat posed by the Horabot campaign, which leverages a banking Trojan and an intricate attack chain. The campaign remains active, as...

Unveiling transparent COM instrumentation: A new approach to malware analysis

Tool Enhances Visibility into COM Automation for Malware Analysis Cisco Talos has developed DispatchLogger, an open-source tool designed to improve visibility into COM automation, particularly in analyzing malware behavior. This tool focuses on late-bound IDispatch...

Uncovering vulnerabilities: How prompt fuzzing reveals the fragility of LLMs in both open and closed models

Genetic Algorithm Method Targets Vulnerabilities in Generative AI Responses TL;DR Unit 42’s research reveals weaknesses in guardrails of generative AI systems, particularly when attackers leverage genetic algorithm-inspired fuzzing techniques to bypass content...

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Unmasking EDR killers: Insights beyond the drivers

Exploring the role of AI in modern malware tactics

Exploring the security dilemmas of AI agents in cybersecurity

Unveiling the Horabot campaign: Strategies to detect this stealthy malware

Unveiling transparent COM instrumentation: A new approach to malware analysis

Uncovering vulnerabilities: How prompt fuzzing reveals the fragility of LLMs in both open and closed models

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