Can scientists detect life without knowing what it looks like? Research using machine learning offers a new way

LifeTracer is not a universal life detector. Rather, it provides a foundation for interpreting complex organic mixtures. The Bennu findings remind us that life-friendly chemistry may be widespread ...

AI is accelerating cyberattacks. Is your network prepared?

AI-driven attacks now automate reconnaissance, generate malware variants, and evade detection at a speed that overwhelms ...
IEEE

Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...
IEEE

Systematic literature review on malware detection using Explainable Machine Learning (XAI)

Abstract: The advancement of malware detection through machine learning and deep learning has been extensively explored. However, the models produced by these methods are still considered opaque and ...
The Hacker News

TamperedChef Malware Spreads via Fake Software Installers in Ongoing Global Campaign

Threat actors are leveraging bogus installers masquerading as popular software to trick users into installing malware as part of a global malvertising campaign dubbed TamperedChef. The end goal of the ...
The Hacker News

Iranian Hackers Use DEEPROOT and TWOSTROKE Malware in Aerospace and Defense Attacks

Suspected espionage-driven threat actors from Iran have been observed deploying backdoors like TWOSTROKE and DEEPROOT as part of continued attacks aimed at aerospace, aviation, and defense industries ...
Bleeping Computer

RondoDox botnet malware now hacks servers using XWiki flaw

The RondoDox botnet malware is now exploiting a critical remote code execution (RCE) flaw in XWiki Platform tracked as CVE-2025-24893. On October 30, the U.S. Cybersecurity and Information Security ...