Comprehensive opsec guide covering privacy, anonymity, and security.
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Updated
Apr 12, 2025 - CSS
Comprehensive opsec guide covering privacy, anonymity, and security.
FastMCP 3.2 server for Calibre e-book library management — AI-assisted search, RAG, and agentic workflows). MCP server for claude, cursor and other MCP clients. Webapp and tauri windows desktop app for use by humans.
aim of this project is to give insight into authenticity of an image using ELA and metadata analysis based weather validation
VRChat IL2CPP deobfuscation pipeline — Unity 6 (6000.0.60f1) baseline. Reverse MethodInfo enumeration, 64K classes / 570K methods / 188K fields, reproducible naming.
A simple File Analysis Tool for Kali Linux
Wikidata properties
Advanced Discord Forensic Engine to unmask alt accounts and analyze server metadata with high precision
Multi-layer OPSEC failure analysis framework - Research-grade threat modeling and signal correlation
A fast, lightweight cross-os toolkit for detecting, analyzing, organizing, and exporting MQA-encoded FLAC files.
Combat fake news with cryptographic image verification. Origin Lens analyzes C2PA Content Credentials and EXIF metadata to detect AI-generated content, verify digital signatures, and reveal complete edit history. Privacy-first open source iOS app with on-device verification. (arXiv:2602.03423)
Scripts accompanying the dissertation "Genre analysis and corpus design: 19th century Spanish American novels (1830-1910)"
A C# client example to snapWONDERS API. Perform deep digital media analysis, reveal hidden metadata, hidden metadata, copyrights, steganography and private information leakage.
A Go client example to snapWONDERS API. Perform deep digital media analysis, reveal hidden metadata, hidden metadata, copyrights, steganography and private information leakage.
A PHP client example to snapWONDERS API. Perform deep digital media analysis, reveal hidden metadata, hidden metadata, copyrights, steganography and private information leakage.
COVID19 Case Report Form Analysis - data and collection forms.
TraceLens is a comprehensive desktop application for extracting, analyzing, editing, and managing file metadata with a focus on privacy and forensic risk assessment. Built with Python and Tkinter, it provides both a user-friendly GUI and a powerful command-line interface for professionals, forensic analysts, and privacy-conscious users.
A forensic & steganographic image analysis tool — uncovers hidden messages and metadata.
A Python client example to snapWONDERS API. Perform deep digital media analysis, reveal hidden metadata, hidden metadata, copyrights, steganography and private information leakage.
From Adoption to Usage: Unveiling Programming Language Patterns and Trends in GitHub Repositories with InsightHub
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