An impersonation attack is a type of cybercrime where a criminal poses as a known, trusted person or organization to steal confidential data or money. Impersonation attacks trick employees into authorizing payments or sharing sensitive data by convincingly posing as executives, vendors, colleagues, financial institutions, or other trusted entities.
Impersonation attacks focus on exploiting human psychology rather than technical vulnerabilities. Unlike typical cyberattacks that target software flaws, impersonation deceives victims by posing as trusted contacts to gain sensitive information or unauthorized access.
Common types of impersonation attacks include
Executive Impersonation (CEO Fraud): Attackers impersonate senior executives, particularly CEOs or CFOs, to instruct employees to wire funds, share credentials, or bypass normal authorization procedures.
Vendor Impersonation: Criminals pose as legitimate suppliers or business partners to redirect payments to fraudulent accounts or extract sensitive information.
IT Support Impersonation: Attackers pose as IT or help desk staff to harvest credentials, gain remote access, or convince employees to install malicious software.
Brand Impersonation: Fraudulent emails mimic well-known brands like Microsoft, banks, or shipping companies to steal login credentials through fake login pages.
Attorney/Legal Impersonation: Attackers pose as legal representatives to create urgency around confidential transactions, often exploiting time pressure to prevent verification.
Impersonation attacks rely on careful research, convincing email construction, and social engineering to appear legitimate. They often do not contain malicious links or attachments, allowing them to evade traditional email security filters that rely on known indicators of compromise.
Pangratis uses AI-powered behavioral analysis and identity modeling to detect impersonation attacks by recognizing unusual communication patterns, anomalous requests, and deviations from established behavior baselines—even when attacks originate from legitimate-looking senders.