Credential Stuffing Defense
Block automated credential attacks at scale
Credential stuffing attacks use automated tools to test stolen username-password pairs across multiple sites. These attacks are high-volume, low-and-slow, and increasingly sophisticated at mimicking legitimate user behavior.
The Challenge
Millions of login attempts per hour using rotating proxies
Bots that mimic human behavior including realistic mouse movements and timing
Distributed attacks across thousands of IP addresses to avoid rate limiting
Legitimate users sharing passwords across sites becoming collateral damage
How Wingman Helps
Bot Fingerprinting
Wingman identifies automated tools by analyzing browser fingerprints, WebGL signatures, and execution environments — even when bots use headless browsers.
Velocity Analysis
Real-time analysis of request patterns detects abnormal login velocities from individual IPs, subnets, and user agent clusters.
Proxy Detection
Advanced IP intelligence identifies residential proxies, VPN exit nodes, and data center IPs commonly used in credential stuffing operations.
Credential Intelligence
Integration with breach databases flags login attempts using known compromised credential pairs for immediate challenge or block.
Expected Outcomes
99.7% detection rate for automated credential stuffing attacks
60% reduction in authentication infrastructure costs from blocking bot traffic
Zero CAPTCHA friction for legitimate users
Real-time threat intelligence shared across all protected endpoints