
gemma_crackme_tutorial
Step-by-step tutorial on using Google's Gemma 4 E4B local AI model to reverse engineer a Windows crackme with Ghidra, including setup for local…

Step-by-step tutorial on using Google's Gemma 4 E4B local AI model to reverse engineer a Windows crackme with Ghidra, including setup for local…

Dynamic and static analysis with Real Time Malware Analysis with Antivirus for Windows, including open-source XDR (3 EDR projects), ClamAV, YARA-X,…

This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis with limited resources…

The agent that grows with you

Black-box attack framework that hijacks reasoning in agentic retrieval-augmented generation systems by injecting poisoned documents, with support for…

Reconstructs legacy Windows binaries into C source by pairing Ghidra decompiler exports with local LLMs, producing compile-checked candidates and…

Simulates CVE-2024-38063 TCP/IP remote code execution attack, captures network traffic with TShark, and trains a machine learning model to detect…

The ultimate steganography and digital forensics toolkit. Hide and extract data across images, audio, video, documents, and network packets, or run…

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Automating Host Exploitation with AI

Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.

Java SDK for building analytics pipelines that process and enrich unstructured text data with annotations, type systems, and modular analysis engines.


A curated portfolio showcasing my SOC investigations, threat hunting projects, DFIR labs, detection engineering, technical blogs, and cybersecurity…

An implementation of the FAIR CRQ Framework

Standardized adversarial robustness benchmark with a public leaderboard and downloadable model zoo for evaluating ML models against Lp attacks and…

Unicode encoding attacks with machine learning

Python framework for building LLM workflows as state machines with formal verification via Z3 theorem proving, CTL model checking, and conformal…