Chinese APT deploys new malware to keep access to hacked networks

A Chinese espionage group tracked as UNC5221 has been accessing Microsoft 365 environments using the Brickstorm backdoor and ...

Fake Claude Code Installers Deliver Credential-Stealing Malware

Fake Claude Code install sites are pushing malware that steals API keys, developer credentials, crypto wallets, and other ...

AI-built ransomware toolkit automates EDR evasion, AD discovery

A threat actor is using an AI-built ransomware attack toolkit that automates Active Directory discovery and helps evade ...
Tech Times

AI vs AI Cybersecurity: Sysdig Documents First LLM-Agent Intrusion in the Wild

AI vs AI cybersecurity arrived in documented form on May 10, when an LLM agent drove a four-pivot intrusion to database exfiltration in under an hour with no human direction. CrowdStrike data puts ...

Perplexity launches Bumblebee: How its new read-only dev scanner differs from Chainguard

The AI company's Bumblebee tool tackles your most urgent question after any supply‑chain advisory: Do your programmers have ...

Google blocked the first known AI-powered attack on 2FA accounts; here is how hackers tried to break in, know how to stay safe

Google prevents first known instance of 2FA cyber attack where hackers used AI-developed zero-day exploit; Know how to stay safe ...
The Hacker News

TrapDoor Supply Chain Attack Spreads Credential-Stealing Malware via npm, PyPI, and CratesIO

TrapDoor spread 34 malicious packages across npm, PyPI, and Crates.io, stealing developer credentials and enabling persistence.

GitHub confirms 3,800 internal repos stolen through poisoned VS Code extension as supply chain worm hits Microsoft’s Python SDK

GitHub confirmed attackers stole 3,800 internal repositories via a poisoned VS Code extension. The same threat group, TeamPCP ...
IEEE

Detection of Android Malware Based on Deep Forest and Feature Enhancement

Abstract: Detecting Android malware in its spread or download stage is a challenging work, which can realize early detection of malware before it reaches user side. In this paper, we propose a ...
IEEE

Malware Detection and Classification in Android Application Using Simhash-Based Feature Extraction and Machine Learning

Abstract: The need to detect and classify malware on Android devices has become crucial due to the widespread use of these devices daily. This paper presents a method for detecting and classifying ...