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Processes for concealing and recovering secret information within carrier files like images or audio.
Distinct from Embedded File Extraction: Candidates focus on extracting binary files or ML embeddings, not the process of steganographic concealment.
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This project is a steganography analysis toolkit and digital forensics suite designed to detect, extract, and embed hidden data within image and audio files. It provides a dockerized security environment that bundles various analysis tools into a containerized workspace, including a media spectrogram visualizer for revealing visually hidden patterns. The toolkit features a dedicated brute force system for recovering password-protected messages using automated wordlists and candidate password testing. It distinguishes itself by providing rule-based wordlist generation that uses expansion patte
Enables hiding secret messages within image or audio files using encryption algorithms and recovering them with passphrases.