Stegmark

Universal steganographic analysis — statistical, forensic, and neural watermark detection.

Install

pip install stegmark                  # statistical + forensic detectors
pip install "stegmark[neural]"        # + TrustMark / Stable Signature neural detection

Usage

from stegmark import analyze, robustness_test

# Analyze any image
result = analyze("image.jpg")
print(result.verdict)
print(result.confidence)
result.save_report("audit.pdf")

# Test watermark robustness
report = robustness_test("cover.jpg", secret="my_id")
print(f"Survived {report.survival_rate:.0%} of attacks")
print(f"Failed: {report.failed_attacks}")
report.save_report("robustness_audit.pdf")

# With cover image for quality metrics
result = analyze("stego.jpg", cover_path="original.jpg")
print(f"PSNR: {result.psnr:.1f} dB  SSIM: {result.ssim:.4f}")

What it detects

API

Also available as a hosted API: https://raghav7006--stegmark-api-web.modal.run

curl -X POST https://raghav7006--stegmark-api-web.modal.run/analyze \
  -F "stego=@image.jpg"

Installation Notes

Apple Silicon (M1/M2/M3 Mac)

jpegio requires a native arm64 build:

ARCHFLAGS="-arch arm64" pip install jpegio
pip install stegmark

Linux

pip install stegmark

Windows

jpegio is not supported on Windows. Use WSL2 or Docker.