Antivirus software used to hunt for known malware, but now it’s predicting suspicious behavior before an attack fully lands.

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

Recent advances in the field of medical imaging and computational neuroscience have transformed the landscape of brain pathology detection. The application ...

An agentic coding tool tasked with cloning and setting up a seemingly benign GitHub repository could execute a malicious ...

Prion and prion-like proteins are classically associated with protein misfolding, but amyloidogenic sequences can also participate in host defence. Here, using deep learning, we screened 19.3 million ...

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

Nearly 2,000 WordPress websites were infected with malware that relies on Steam Community profile comments to hide command-and-control (C2) data. The threat actor used invisible Unicode characters to ...

Minecraft is one of the most popular games on the planet. So, of course, that makes Minecraft players a prime target for hackers. In a new cybersecurity report, researchers from McAfee Labs describe ...

Researchers at Push Security have identified a new campaign by threat actors that delivers infostealer malware through legitimate domains, tagged "LLMShare." Basically, "LLMShare" works by abusing the ...

Endoscopy-based deep learning algorithms achieve higher sensitivity, specificity, and overall diagnostic accuracy than endoscopists for early ESCC detection.