Decrypt

DeadLock Ransomware Using Polygon Smart Contracts to Evade Detection

The ransomware family’s abuse of Polygon smart contracts echoes techniques recently seen in Ethereum-based attacks.
IEEE

Anomaly Detection in IoT Networks: A Deep Learning Approach Using Autoencoders

Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...
Bleeping Computer

Ransomware IAB abuses EDR for stealthy malware execution

An initial access broker tracked as Storm-0249 is abusing endpoint detection and response solutions and trusted Microsoft Windows utilities to load malware, establish communication, and persistence in ...
Engadget

Chinese hackers reportedly targeting government entities using 'Brickstorm' malware

Hackers with links to China reportedly successfully infiltrated a number of unnamed government and tech entities using advanced malware. As reported by Reuters, cybersecurity agencies from the US and ...
Dark Reading

How Malware Authors Are Incorporating LLMs to Evade Detection

Threat actors are testing malware that incorporates large language models (LLMs) to create malware that can evade detection by security tools. In an analysis published earlier this month, Google's ...
PC Gamer

This sneaky malware variant has been caught using fake Windows Update screens to trick users into installing info-stealing software themselves

If you're anything like me, you keep a sharp eye on your Windows Defender updates to make sure your PC is protected against the latest threats. However, while Defender is remarkably good at catching ...
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 ...
Scientific Research Publishing

Ferrag, M.A., Maglaras, L., Moschoyiannis, S. and Janicke, H. (2020) Deep Learning for Cyber Security Intrusion Detection: Approaches, Datasets, and Comparative Study. Journal ...

ABSTRACT: The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior using deep learning methods and ensuring interpretability of ...
Futurism

Malware Is Now Using AI to Rewrite Its Own Code to Avoid Detection

Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...
PC Gamer

Great, now even malware is using LLMs to rewrite its code, says Google, as it documents new phase of 'AI abuse'

I'm sorry Dave, I'm afraid I can't do that. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Google has recently warned "adversaries are no longer ...
Ars Technica

5 AI-developed malware families analyzed by Google fail to work and are easily detected

Google on Wednesday revealed five recent malware samples that were built using generative AI. The end results of each one were far below par with professional malware development, a finding that shows ...