VOLTRON: Detecting Unknown Malware Using Graph-Based Zero-Shot Learning

The persistent threat of Android malware presents a serious challenge to the security of millions of users globally. While many machine learning-based methods have been developed to detect these threats, their reliance on large labeled datasets limits their effectiveness against emerging,...

How to Detect New Threats via Suspicious Activities

Unknown malware presents a significant cybersecurity threat and can cause serious damage to organizations and individuals alike. When left undetected, malicious code can gain access to confidential information, corrupt data, and allow attackers to gain control of systems. Find out how to avoid...

How to Detect New Threats via Suspicious Activities

Unknown malware presents a significant cybersecurity threat and can cause serious damage to organizations and individuals alike. When left undetected, malicious code can gain access to confidential information, corrupt data, and allow attackers to gain control of systems. Find out how to avoid...

Malicious code in tinkoff-talk-web (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware c76741d903b6ba3173fc55b46fad124d52dd7f5d23c73107d5d43afb73db4a06 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

An In-Depth Look Into Data Stacking

Mandiant's Nick Bennett and Jake Valletta discussed data stacking at MIRcon™ last month. If you were unable to attend the talk, we will discuss this data analysis technique here on the M-Unition blog. What is Data Stacking? Data stacking is the application of frequency analysis to large volumes o...