Credential phishing
Stop malicious emails that use social engineering and evasive phishing websites to steal account credentials and other sensitive information.
Unknown indicators of attack make detection harder
Attackers are increasingly leveraging legitimate cloud services like Gmail and Amazon to distribute phishing emails and host malicious sites, often using Phishing-as-a-Service (PhaaS) platforms to automate and evolve their campaigns. This makes detection increasingly difficult for traditional defenses. With links, attachments, and sender addresses changing rapidly, attacks are more dynamic and typically lack traditional known-bad indicators.
Once in the mailbox, these "zero-hour" attacks lure victims with well-made, AI-generated social engineering into giving up their credentials.
Credential phishing attacks can target specific individuals or be part of mass credential harvesting campaigns, with stolen credentials either used by the attacker or sold to third parties.
How xorlab detects and blocks credential phishing
xorlab detects and blocks credential phishing attacks proactively, without prior knowledge of a malicious sender or link.
The xorlab Security Platform:
- Learns the behavior of every sender-recipient relationship by analyzing hundreds of contextual indicators and sets the baseline for what can be expected as legitimate.
- Analyzes the relevance of an email’s topic, attachments, and links for the recipient and the organization and provides visibility into their structure.
- Autonomously blocks credential phishing attacks before they are delivered to the users’ mailboxes.
Impersonation
Credential phishing emails mimic popular brands and familiar styles to appear trustworthy.
Urgency
Messages contain urgent, time-sensitive language to pressure victims into quick action.
Authority
Attackers impersonate authority figures, using formal language to compel quick action.
Obfuscation
Phishing links are disguised or concealed with URL shorteners or redirects to evade detection.
Evasion
Phishing sites expose malicious content only when visited by targeted users to bypass dynamic link analysis (sandboxing), e.g. with IP filtering or timing delays.
Zero-hour
Attackers regenerate links, attachments, and metadata during campaigns to avoid detection by known indicators.
Ciso Guide
Explore our ebook about smarter email security – an attacker-centric, proactive approach.
News
How attackers leverage the trust of GitHub to launch targeted phishing attacks.
Attack simulation
Stress test your email security with our realistic email attack simulation.
