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A Python-based application that aggregates, visualizes, and analyzes real-time disease testing data to empower public health insights.
Forensic Intelligence Correlation Platform that bridges digital forensic analysis with OSINT by correlating temporal, spatial, and content patterns between forensic evidence and publicly available data.
Automated vulnerability discovery and exploitation pipeline - from AFL++ fuzzing to C2 deployment in minutes
A Python toolkit for identifying websites from encrypted network traffic using ML on packet metadata (no content decryption).
Hands-on lab for mastering buffer overflow exploitation techniques, combining Python automation and low-level C programming
Repositories
14Forensic Intelligence Correlation Platform that bridges digital forensic analysis with OSINT by correlating temporal, spatial, and content patterns between forensic evidence and publicly available data.
Automated vulnerability discovery and exploitation pipeline - from AFL++ fuzzing to C2 deployment in minutes
A Python toolkit for identifying websites from encrypted network traffic using ML on packet metadata (no content decryption).
No description provided.
Hands-on lab for mastering buffer overflow exploitation techniques, combining Python automation and low-level C programming
Learn and practice race condition exploitation with this educational lab, showcasing real-world examples in C and Shell scripting
Build predictive models using logistic regression on UFC match data with this Python tool, ideal for sports analytics and MMA betting insights
Your AI Plant Buddy
Explore multithreaded programming and thread synchronization techniques with this C-based academic lab tool.
Bilker is a specialized AI assistant for Capture The Flag competitions and cybersecurity hackathons, built by fine-tuning QWen3-Coder on domain-specific educational content using QLoRA.
In-depth Nullcon cybersecurity writeups with diverse language support, ranging from Python and PHP to HTML
An experiment in backdooring a shell safety classifier by planting a hidden trigger in its training data.
No description provided.
A Python-based application that aggregates, visualizes, and analyzes real-time disease testing data to empower public health insights.