Our Steganography Detector App is a lightweight tool that automates the detection and analysis of hidden data in digital images. Designed for digital forensics and antiforensics research, it helps users quickly identify concealed content using techniques like least-significant-bit (LSB) analysis, palette manipulation, and metadata inspection.
Key Features:
Graphical Interface: Drag-and-drop images into a visual dashboard with real-time heat maps highlighting suspicious regions.
Multi-Format Scanning: Supports BMP, PNG, JPEG, and TIFF images without manual conversion, analyzing both compressed and uncompressed formats.
Statistical & Signature Analysis: Uses chi-square, RS-analysis, and entropy measures to detect anomalies and matches known steganography signatures (OutGuess, F5, Steghide).
Payload Extraction: Automatically reconstructs hidden data, exporting text, binary, or ZIP payloads with an optional hex viewer for manual inspection.
A lightweight, fast port scanner that probes a host or range to list TCP/UDP ports as open, closed, or filtered, and lets users click any port to view detailed context. Ideal for network troubleshooting, security training, and quick inventories.
Key Features:
Safe-by-Default: Built-in reminders to scan only authorized systems.
Quick Scans: Target IP/hostname, common port presets, and adjustable speed.
Clear Results: Compact table with port, protocol, status, and response time.
Click-for-Details: Expand a port to see likely service, banner (if present), risk level, and recommended next steps.
Exports & Reports: Save results as CSV/HTML/PDF.