Abstract: Spam emails represent a large portion of global email traffic and pose several risks, such as phishing, fraud, and malware attacks. Traditional spam filters are ineffective in combating spam ...

Abstract: In recent years, the receipt of spam by billions of users around the world has increased. In general, for spam emails are admitted all emails that is sent without the express consent of the ...

DetectAnyLLM is an AI-generated text detection (i.e., Machine-Generated Text Detection) model based on the Fast-DetectGPT framework, optimized using DDL (Direct Discrepancy Learning). DDL is a novel ...

This project implements a context-aware spam detection system using Python. Unlike naive filters, it does not assume unknown senders are scammers. Decisions are made using behavior-based scoring and ...

The U.S. Federal Bureau of Investigation (FBI) on Thursday released an advisory warning of North Korean state-sponsored threat actors leveraging malicious QR codes in spear-phishing campaigns ...

The North Korean state-sponsored hacker group Kimsuki is using malicious QR codes in spearphishing campaigns that target U.S. organizations, the Federal Bureau of Investigation warns in a flash alert.