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I've always had a fascination with reverse-engineering browser fingerprinting scripts. Most of my time has been spent looking at the usual suspects (popular fingerprinting libraries like FingerprintJS and more sophisticated scripts used by anti-bots like Cloudflare Turnstile, Akamai, and others).
TikTok has a reputation for its aggressive data collection. The platform has implemented various methods to make it difficult for reverse-engineers to understand exactly what data is being collected and how it is being used.
In this blog post, I will talk about my successful experiment in machine learning using TensorFlow to automate solving the 4Chan CAPTCHA.
In the expanding world of AI my heart still lies in AST transforms, browser fingerprinting, and anti-bot circumvention. But my workflow felt... primitive.
I decided to get evaluated for ADHD. Curiousity struck, and I had the bright idea to capture the page source and any outbound requests.
Debuggers serve as invaluable tools that empower developers to halt code execution and thoroughly analyze its behavior at any given moment. By utilizing debuggers, developers can efficiently identify and resolve issues within their code, making it an indispensable part of their toolkit.
In this blog post, we'll examine the virtualization obfuscation used by Nike
FiveM provides a powerful framework to create game experiences not otherwise possible in Grand Theft Auto. However, this power can be abused by attackers through the use of XSS in vulnerable NUI resources.
Vercel recently announced BotID, an anti-bot meant to protect against bots without requiring manual intervention. This post reverse-engineers the script and takes a peek inside.