Abstract: While the world of digital communication is expanding at an unprecedented rate, email spam has emerged as a major problem causing security threats, information redundancy, and loss 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 ...

Update, November 8, 9:46 a.m. ET: The GitHub repository and its forks have been taken down. The original story follows below. Just hours after Apple launched a revamped web interface for the App Store ...

Karandeep Singh Oberoi is a Durham College Journalism and Mass Media graduate who joined the Android Police team in April 2024, after serving as a full-time News Writer at Canadian publication ...

After previewing last year and sharing more details in May, Key Verifier is “now available to all Android 10+ users” to protect against impersonators and fraudsters. This system uses QR codes to ...

Attackers are increasingly abusing Cascading Style Sheets (CSS) to insert hidden text and characters into emails in a tactic designed to bypass filters and slip spam and other malicious messages past ...

A new analysis of political advertisers found that the platform profits from ads that include deepfakes and other content prohibited by its own policies. Recent Meta ads have included fabricated ...

Newly discovered npm package 'fezbox' employs QR codes to retrieve cookie-stealing malware from the threat actor's server. The package, masquerading as a utility library, leverages this innovative ...

AT&T subscribers can say goodbye to spam calls, and they won’t need a Pixel phone to do it. AT&T has announced that it’s launching a new AI assistant that is designed specifically to filter out spam ...

Google has delayed releasing the source code for Android 16 QPR1, worrying custom ROM developers who rely on timely AOSP (Android Open Source Project) updates. While Google typically publishes source ...

This project classifies SMS messages as spam or ham using a PyTorch logistic regression model with a bag-of-words representation, including train/validation/test split, performance evaluation ...