Security News > 2019 > November > Researchers develop machine learning-based detector that stops lateral phishing attacks

Lateral phishing attacks – scams targeting users from compromised email accounts within an organization – are becoming an increasing concern in the U.S. Whereas in the past attackers would send phishing scams from email accounts external to an organization, recently there’s been an explosion of email-borne scams in which an attackers compromise email accounts within organizations, and then uses those accounts to launch internal phishing emails to fellow employees – the kind of attacks known … More → The post Researchers develop machine learning-based detector that stops lateral phishing attacks appeared first on Help Net Security.
News URL
http://feedproxy.google.com/~r/HelpNetSecurity/~3/gy3VBcRj80Y/
Related news
- Microsoft: Hackers steal emails in device code phishing attacks (source)
- Darktrace: 96% of Phishing Attacks in 2024 Exploited Trusted Domains Including SharePoint & Zoom Docs (source)
- Phishing attack hides JavaScript using invisible Unicode trick (source)
- FatalRAT Phishing Attacks Target APAC Industries Using Chinese Cloud Services (source)
- Hackers Exploit AWS Misconfigurations to Launch Phishing Attacks via SES and WorkMail (source)
- YouTube warns of AI-generated video of its CEO used in phishing attacks (source)
- Researchers Expose New Polymorphic Attack That Clones Browser Extensions to Steal Credentials (source)
- Ukrainian military targeted in new Signal spear-phishing attacks (source)
- A Taxonomy of Adversarial Machine Learning Attacks and Mitigations (source)
- Phishing platform 'Lucid' behind wave of iOS, Android SMS attacks (source)