Amplifying Machine Learning Attacks through Strategic Compositions

Machine learning ML models are proving to be vulnerable to a variety of attacks that allow the adversary to learn sensitive information, cause mispredictions, and more. While these attacks have been extensively studied, current research predominantly focuses on analyzing each attack type...

Becoming Ransomware Ready: Why Continuous Validation Is Your Best Defense

Ransomware doesn't hit all at once—it slowly floods your defenses in stages. Like a ship subsumed with water, the attack starts quietly, below the surface, with subtle warning signs that are easy to miss. By the time encryption starts, it's too late to stop the flood. Each stage of a ransomware...

Automating threat actor tracking: Understanding attacker behavior for intelligence and contextual alerting

As seen in recent sophisticated cyberattacks, especially human-operated campaigns, it’s critical to not only detect an attack as early as possible but also to rapidly determine the scope of the compromise and predict how it will progress. How an attack proceeds depends on the attacker’s goals and...

Spanish MSSP Targeted by BitPaymer Ransomware

ARCHIVED STORY Spanish MSSP Targeted by BitPaymer Ransomware By ATR Operational Intelligence Team · November 08, 2019 Co-authored by Marc RiveroLopez Initial Discovery This week the news hit that several companies in Spain were hit by a ransomware attack. Ransomware attacks themselves are not new...

Inside the CCleaner Backdoor Attack

MADRID—As the investigation continues into the backdoor planted inside CCleaner, two members of parent company Avast’s threat intelligence team said today the desktop and cloud versions of the popular software contained different payloads. The revelation was made during a talk at Virus Bulletin...