Researchers have developed an adversarial machine learning algorithm to improve detection of malicious JavaScript code by using large language models to rewrite it. Unlike off-the-shelf obfuscation tools, which create obvious changes that can be detected, the tool creates changes that look natural and are harder to detect. Retraining deep learning-based detectors on adversarially generated samples improved their performance by 10%. The researchers warn that while detecting malware becomes challenging as it evolves, using similar tactics to rewrite such code can aid in improving machine learning models.
Nearly 6 million people were impacted by ransomware attack on Ascension Health
Ascension Health, an American Catholic healthcare organization, has warned almost 6 million people that hackers accessed their sensitive information, including medical data and credit card
