hunt-brute-force

To test rate-limiting vulnerabilities on a login endpoint, you systematically classify server responses to brute-force attempts, distinguishing between hard lockouts, soft IP throttling, and silent shadow-throttling. This confirms the actual reachability and impact of authentication security controls.

Shadow-throttling is a silent rate-limiting mechanism where the server appears to accept requests but restricts them in the background, causing false negatives in credential stuffing tests. You validate it using shadow-throttle seed testing and entropy measurement to confirm true impact.

Yes, this methodology applies directly to OTP and password-reset token guessing. It provides impact-driven hunting techniques to test 2FA brute force and password-reset workflows, ensuring validation discipline by confirming findings rather than relying on surface-level observations.

The best way to confirm account enumeration vulnerabilities is through validation discipline, applying techniques like shadow-throttle seed testing and entropy measurement. This ensures reports are based on verified impact rather than surface-level server response observations.

Brute-force attacks often fail without error messages due to silent shadow-throttling or CAPTCHA injection by the server. Systematic classification of server responses is required to detect these hidden security controls and prevent false-negative reporting during testing.