Credential Theft
Attackers leverage a wide variety of techniques to perform credential harvesting attacks or email account compromise, in an attempt to obtain user credentials or capture other data, often from user input locations like login pages. The ability to impersonate business applications and relationships makes users a target for credential theft and email account compromise.
Detecting Credential Theft Attacks with GreatHorn
GreatHorn Email Security utilizes sophisticated AI and machine learning models that allow for organizations to protect against suspicious and malicious URLs across the entire lifecycle of an email. By applying multi-layered controls, organizations can maintain visibility and control as URLs turn malicious or redirect to malicious sites.
Suspicious and Malicious URL Detection
URLs are easy to manipulate so that no two are delivered the same and are a top threat vector within phishing attacks. All URLs are inspected upon delivery to identify and detect malicious websites. GreatHorn also provides an additional layer for suspicious URLs that turn malicious, using time-of-click analysis using computer vision to analyze suspicious links.
Behavioral Analytics
GreatHorn analyzes all communication patterns between senders and recipients using behavioral analytics within our AI and ML models, providing organizations with immediate detection and insight into anomalous emails.
Behavioral Analytics
GreatHorn analyzes all communication patterns between senders and recipients using behavioral analytics within our AI and ML models, providing organizations with immediate detection and insight into anomalous emails.
End User Education
Provide users with the context they need to help them make better decisions by applying automated and customized banners, Mailbox Intelligence, Suspicious Link pages, and more.
See how GreatHorn detects credential theft within Microsoft 365 and Google Workspace.
GreatHorn Resources
![[eBook] Ransomware and Malicious Payloads: What You Need to Know](https://www.greathorn.com/wp-content/uploads/2021/04/malicious-payloads-ebook-cover-social-graphic-400x250.jpg)
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