ChameleonLab is a powerful and intuitive suite of steganography and cryptography tools available for Windows and macOS.
Free and Open Source
Discover a complete set of tools for working with hidden data.
Easily hide and extract files and text from images and documents using both classic and modern steganography methods.
Use powerful visualizers and statistical tests to detect hidden data, even if you don't know where it is.
Protect your files with strong AES-256 encryption by creating encrypted containers in the .CHA format.
Work with a wide range of formats, including PNG, BMP, JPG, PDF, DOCX, XLSX, PPTX, and many others.
Analyze thousands of files at once to quickly find those that may contain hidden information.
Generate strong passwords and visually explore how even a small change affects their cryptographic fingerprint.
Our analysis tools give you the ability to look "under the hood" of digital files. Visualize image bit-planes, analyze entropy, and find anomalies that reveal the presence of hidden data.
Clear graphs and diagrams.
Statistical tests for scientific accuracy.
ChameleonLab is not just a tool, but an interactive tutorial. Students and educators can visually learn the principles of steganography and cryptography, seeing how each bit affects the final result.
Digital forensics and cybersecurity specialists will appreciate the batch analysis capabilities, precise metrics (PSNR, MSE), and support for multiple formats for in-depth file investigation.
Participating in Capture The Flag competitions or just love solving digital mysteries? ChameleonLab will be your reliable assistant in finding hidden flags and messages.
We are constantly expanding the list of supported file formats for data analysis and embedding.
ChameleonLab is designed to run on modern Windows and macOS operating systems.
Operating System: Windows 10 or newer (64-bit)
Processor: Intel Core i3 / AMD Ryzen 3 or better
RAM: 4 GB or more
Disk Space: 300 MB of free space
Operating System: macOS 11 (Big Sur) or newer
Processor: Intel or Apple Silicon (M1/M2/M3)
RAM: 4 GB or more
Disk Space: 300 MB of free space
The classic LSB method embeds data sequentially or randomly, but it ignores the image content. This makes it vulnerable: changing a smooth blue sky (w...
Statistical detection methods like histogram analysis (Chi-Square) often fail if the hidden message is short or cleverly distributed across the image....
Steganography is not limited to media files (images or audio). One of the trickiest and most modern methods is the use of Zero-Width Characters (ZWC) ...