To understand malware configurations, we should first look into how malware is typically generated with malware builders. Countless different malware samples are used in the wild every day, but they ...

Attackers uploaded fake Python packages to PyPI that posed as Bitcoinlib tools and targeted wallet data. The malware infected crypto development environments, stole private keys and seed phrases and ...

Researchers have developed a computer “worm” that can spread from one computer to another using generative AI, a warning sign that the tech could be used to develop dangerous malware in the near ...

However, the improved guardrails created new difficulties for anyone attempting malicious use, as the model no longer refused ...

Cyberattackers integrate large language models (LLMs) into the malware, running prompts at runtime to evade detection and augment their code on demand.

As the public adjusts to trusting artificial intelligence, there also brews a perfect environment for hackers to trap internet users into downloading malware. The latest target is the Google Bard ...

Big firms like Microsoft, Salesforce, and Google had to react fast — stopping DDoS attacks, blocking bad links, and fixing ...