Infostealer malware found stealing OpenClaw secrets for first time

With the massive adoption of the OpenClaw agentic AI assistant, information-stealing malware has been spotted stealing files ...

North Korean job scammers target JavaScript and Python developers with fake interview tasks spreading malware

Operation Dream Job is evolving once again, and now comes through malicious dependencies on bare-bones projects.
The Hacker News

Microsoft Discloses DNS-Based ClickFix Attack Using Nslookup for Malware Staging

Microsoft details a new ClickFix variant abusing DNS nslookup commands to stage malware, enabling stealthy payload delivery ...
Security Boulevard

Hackers Use LLM to Create React2Shell Malware, the Latest Example of AI-Generated Threat

Darktrace researchers say hackers used AI and LLMs to create malware to exploit the React2Shell vulnerability to mine ...

LummaStealer infections surge after CastleLoader malware campaigns

A surge in LummaStealer infections has been observed, driven by social engineering campaigns leveraging the ClickFix technique to deliver the CastleLoader malware.
Technobezz on MSN

Microsoft warns that Python infostealers now target macOS at scale

Microsoft warns that Python-based infostealers are increasingly targeting macOS, harvesting sensitive data and challenging assumptions about Apple's malware immunity..
HealthcareInfoSecurity

AI-Generated Malware Exploits React2Shell for Tiny Profit

Security researchers detected artificial intelligence-generated malware exploiting the React2Shell vulnerability, allowing ...
Microsoft

Infostealers without borders: macOS, Python stealers, and platform abuse

How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to ...
IEEE

An Efficient Malware Detection Framework for Enhancing Software Security in Resource-Constrained Systems

Abstract: The increasing adoption of Industrial Internet of Things (IIoT) networks has introduced new security challenges, particularly to ensure software security against evolving malware threats.
IEEE

Real-Time Detection of Fileless Malware Using Hybrid Deep Learning with CNN and Autoencoder Anomaly Detection

Abstract: Fileless malware represents a rising and complex challenge in cybersecurity, primarily due to its capability to avoid conventional detection strategies by operating entirely within a ...