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 ...

A new attempt to influence AI-driven security scanners has been identified in a malicious npm package. The package, eslint-plugin-unicorn-ts-2 version 1.2.1, appeared to be a TypeScript variant of the ...

The decades-old "finger" command is making a comeback,, with threat actors using the protocol to retrieve remote commands to execute on Windows devices. In the past, people used the finger command to ...

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 ...

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 ...

A new Android banking Trojan called Herodotus mimics human behavior, such as random keystroke delays, to evade detection tools. The malware employs device-takeover tactics, including the abuse of ...

A new Android malware family, Herodotus, uses random delay injection in its input routines to mimic human behavior on mobile devices and evade timing-based detection by security software. Herodotus, ...

Abstract: Malware continues to pose a serious threat to cybersecurity, especially with the rise of unknown or zero day attacks that bypass the traditional antivirus tools. This study proposes a hybrid ...

A guitarist in a death metal band was one of several people who found that personalized deep brain stimulation eased their pain and helped them reduce pain medication. A guitarist in a death metal ...

In what might well be a portent of things to come, researchers have discovered the first known malware sample in the wild that attempts to evade AI-powered security tools by essentially prompting them ...