Comprehensive opsec guide covering privacy, anonymity, and security.

aim of this project is to give insight into authenticity of an image using ELA and metadata analysis based weather validation

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

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 PHP 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.

Multi-layer OPSEC failure analysis framework - Research-grade threat modeling and signal correlation

A C# 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.

From Adoption to Usage: Unveiling Programming Language Patterns and Trends in GitHub Repositories with InsightHub

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.

Code for Zhang, et al, Genome Medicine, 2021. Cross-disease tissue data integration on single-cell transcriptomics

MetaLyzer is a powerful client-side web application designed to reveal the hidden digital DNA inside your files. It extracts deep metadata (EXIF, XMP, IPTC, GPS) from images, videos, and documents entirely within your browser — no data is ever uploaded to a server.

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.

Advanced digital forensics and file intelligence tool for analyzing files, extracting metadata, detecting threats, and reconstructing timelines with chain-of-custody support.