AI-powered browser protection that reveals login risks and tracking companies, helping users safeguard their digital identity and privacy.
An AI-powered browser extension that helps users understand hidden security and privacy risks associated with web cookies.
An on-device machine learning model analyzes cookie features to identify cookies likely associated with authentication and estimate whether a login session may be exposed to hijacking.
CookieGuard extracts key cookie attributes—including domain scope, persistence, and security flags—and converts them into structured features for analysis.
Detects third-party tracking cookies and identifies the external companies responsible for cross-site data collection across multiple websites.
All analysis is performed locally inside the browser, so no cookie data or personal information leaves the user's device.
If authentication cookies are stolen or misconfigured, attackers can hijack active sessions and access accounts without needing a password.
If HttpOnly is missing, malicious JavaScript can read authentication cookies through XSS vulnerabilities.
Weak SameSite protections allow attacker-controlled sites to trigger authenticated requests under your name.
Cookies scoped to parent domains are shared across all subdomains. One compromised subdomain exposes all.
Privacy-preserving AI pipeline that runs entirely on your device
Cookie metadata. No values stored.
Domain, scope, persistence, flags.
ML identifies auth cookies.
Evaluate hijacking risk.
Clear risk summary.
We analyzed 3,000 popular websites to measure real-world cookie security practices
Analysis of 150,000+ cookies across 3,000 websites