Cookie hijacking is a serious security risk that can compromise user accounts and sensitive data.
Cookie hijacking, also known as session hijacking, is a type of attack where the attacker intercepts or steals a user's session cookie to gain unauthorized access to an active web session.
Since session cookies store authentication details, attackers who hijack them can impersonate the legitimate user. This allows them to bypass login credentials and gain access to sensitive data, applications, or accounts.
Attackers use various methods to hijack user session cookies. Common techniques include:
Attackers use cookie hijacking to bypass authentication mechanisms and gain unauthorized access to user accounts, systems, or sensitive information. Since many web applications use cookies to maintain active sessions, stealing these cookies allows attackers to impersonate legitimate users without needing passwords or multi-factor authentication (MFA). This technique is widely used in cybercrime and espionage.
Implementing encryption, strong session management, and AI-powered detection solutions can significantly reduce your risk of cookie hijacking attacks. More specifically, organizations should:
Vectra AI uses AI-driven threat detection to identify attackers based on their behaviors — unusual account activity, unauthorized access attempts, potential MitM attacks, and more. This enables security teams to detect and respond to session hijacking before it leads to a full account takeover.