Mythos autonomously exploited vulnerabilities that survived 27 years of human review. Security teams need a new detection playbook

Claude Mythos autonomously found zero-days in OpenBSD, FFmpeg, FreeBSD and major browsers that survived decades of expert ...
Security Boulevard

This fake Windows support website delivers password-stealing malware

A convincing Microsoft lookalike tricks users into downloading malware that steals passwords, payments, and account access.
IEEE

Network Intrusion Detection System Based on Enhanced Dual Gaussian Mixture Variational Autoencoders for Internet of Vehicles

Abstract: The Internet of Vehicles (IoV) is highly vulnerable to attacks due to its open communication environment, with new types of attacks continuously emerging. However, existing Network Intrusion ...
Bleeping Computer

Hackers breach SmarterTools network using flaw in its own software

SmarterTools confirmed last week that the Warlock ransomware gang breached its network after compromising an email system, but it did not impact business applications or account data. The company's ...
GitHub

Network Intrusion Detection System (NIDS)

network-intrusion-detection-system/ ├── src/ │ ├── __init__.py │ ├── nids_engine.py # Core NIDS engine │ ├── packet_processor.py ...
WBAL-TV

'Glorified metal detectors': City councilmembers to assess AI gun detection system use in schools

AND SHE’S AT CITY HALL WITH THE CONCERN OVER THE SYSTEM’S EFFECTIVENESS, BALTIMORE CITY SCHOOLS STARTED USING THE EVOLVE PROGRAM IN 2024. THEY SAY LAST SCHOOL YEAR, IT DETECTED NO WEAPONS IN THIS ...
Hosted on MSN

Simulating the Earth-Moon System Using Python

Ever wondered how the Earth and Moon interact? In this video, we’ll simulate their system using Python, showcasing orbits, gravity, and motion. Perfect for aspiring coders and space enthusiasts!
IEEE

Defending Network Intrusion Detection Systems Based on Graph Neural Networks Against Structural Adversarial Attacks

The exponential growth of network-based cyberattacks has increased the demand for accurate and adaptive Network Intrusion Detection Systems (NIDS) [1], [2]. In recent years, Machine Learning (ML) has ...