Improving Antibot Biometric Protections: A Harsh Lesson from Akamai (2024)
9 hours ago
- #Reverse Engineering
- #Antibot Systems
- #Threat Intelligence
- The article discusses the lack of accessibility and open-source information on antibot technologies, leading to a focus on bypassing rather than building such systems.
- A leaked mouse movement generator for Akamai v1.60 remained effective for two years due to Akamai's lack of a dedicated Threat Intelligence team.
- The author reverse-engineers the mouse movement algorithm, revealing its reliance on smoothing functions to mimic human-like velocity profiles.
- Two strategies are proposed to distinguish synthetic from real mouse movements: comparing smoothed signals and analyzing velocity variance within segments.
- A Gradient Boosting Decision Tree model is developed to classify movements, prioritizing the reduction of false positives to avoid flagging legitimate users as bots.
- The article concludes by emphasizing the importance of Threat Intelligence and reverse engineering in strengthening antibot protections.