Imperial College London researchers unveiled EARLYCROW, a new method of detecting advanced persistent threats (APTs), a sophisticated kind of cyberattack, by identifying malicious network traffic. It uses a new format called PAIRFLOW which captures extensive connection-level data. EARLYCROW, when tested with real-world datasets, registered a macro-average F1-score of 93.02% on unseen APT samples, with a false positive rate of 0.74%.
CISA, FDA Release Warning on Contec CMS8000 Firm
The U.S. Cybersecurity and Infrastructure Security Agency (CISA) and the U.S. Food and Drug Administration (FDA) have warned about cybersecurity vulnerabilities in Contec’s CMS8000 patient
