What problem does it solve?
Investigators and forensic analysts need to determine whether media files contain covertly embedded data, but steganalysis is error-prone: null results do not prove a file is clean, and statistical anomalies do not prove steganography. This Skill provides a disciplined workflow for detecting, validating, and extracting hidden payloads without false conclusions.
Core Features & Use Cases
- Multi-tool detection: Runs binwalk, zsteg, stegoveritas, and steghide matched to the correct carrier format (PNG/BMP LSB vs JPEG DCT), plus metadata and trailing-data checks with ExifTool and Python.
- Validated extraction: Confirms statistical hits by carving bitstreams and identifying real file signatures (ZIP, PNG, PDF), and brute-forces steghide passphrases with wordlists before declaring a file empty.
- Use Case: During a data exfiltration investigation, analyze 45 images and audio files seized from a suspect, extract a hidden PDF from a steghide-protected JPEG, and produce a structured steganalysis report documenting methods and findings.
Quick Start
Analyze the suspect image files in this case folder for hidden steganographic data and generate a findings report.