hacking stuff

Our system incorporates an innovative biometric fingerprinting solution that effectively distinguishes between bots and genuine users.What sets our fingerprinting system apart from others is its unique ability to verify the authenticity of biometric data provided by users, ensuring that it originates from the client browser and has not been falsified or manipulated in any way.

I am working to identify fallacies and attack scenarios specifically against anti-bot defenses. Antibot Projects:- Akamai: Deobfuscated through static JS Babel plugins, built biometric synthesizers to bypass fingeprints and built a full API.-Akamai BMP and Accertify: Reverse Engineer the logic of the Mobile Applications, removed TLS Pinning, adoperated AI models and heuristics to synthesize biometric data and built the full API.-Appsflyer: Utilized Java ASM to deobfuscate complex obfuscated class files. Built plugins that adoperate static bytecode transformations to simplify expressions. VM Based (Kasada, Cloudflare v3): Built an UDM and backend to convert a linear IR and graph IR to unpolished javascript code. Structured CFG and implemented custom graph theory algorithm.Fingerprint Projects:- Mouse Synthesizer, a working prototype capable of simulating real human mouse movements based on the Neurophysiological model of the Human Hand.​- Keyboard Synthesizer, a biometric model to synthesize new keyboard data modeling features extracted from keyboard keystroke samples.- Mobile Biometry Synthesizer, a biometric model to synthesize fresh mobile data, such as gyroscope or accelerometer data.- Browser Hardware Fingerprinting Synthesizer: NDA

I have conducted detailed and in-depth analyses of web applications to identify possible sources of vulnerabilities. I used my expertise in web application security, C, network security, and deobfuscation to fix issues and prevent future attacks by communicating directly with the IT team and guiding them through all the improvement phases.