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
- How Phishing Attacks Adapt Quickly to Capitalize on Current Events (source)
- Google raps Iran's APT42 for raining down spear-phishing attacks (source)
- Xeon Sender Tool Exploits Cloud APIs for Large-Scale SMS Phishing Attacks (source)
- Cybercriminals exploit file sharing services to advance phishing attacks (source)
- Researchers Uncover TLS Bootstrap Attack on Azure Kubernetes Clusters (source)
- CERT-UA Warns of New Vermin-Linked Phishing Attacks with PoW Bait (source)
- How AitM Phishing Attacks Bypass MFA and EDR—and How to Fight Back (source)
- Novel attack on Windows spotted in phishing campaign run from and targeting China (source)
- Cybercriminals Exploit HTTP Headers for Credential Theft via Large-Scale Phishing Attacks (source)
- Australian Organisations Targeted by Phishing Attacks Disguised as Atlassian (source)