Skip to main content

Structure-based PDF Steganography tool

Project description

pdf-stego

Structure-based PDF watermarking — implementation of the scheme from Jiang et al. [1].

Embeds watermarks or arbitrary payloads as dictionary entries in Font Dictionary Objects and XObjects within the PDF structure. The embedding is invisible, produces zero visual distortion (SSIM = 1.0), and survives content editing, page extraction, and textbox-level attacks.

Note: Most of the code was generated by Claude Opus 4.6 and Gemini 3.1 Pro running in Antigravity.

Installation

pip install pdf-stego

From source

git clone https://github.com/samijuvaste/pdf-stego.git
cd pdf-stego
uv sync

Usage

CLI

Tip: Run pdf-stego --help or pdf-stego <command> --help (e.g. pdf-stego embed --help) to see all available flags for each subcommand.

# Embed a payload (split across objects, default mode)
pdf-stego embed -i document.pdf -o payload.pdf -f payload.txt

# Embed a watermark (redundant copy to every object)
pdf-stego embed -i document.pdf -o watermarked.pdf -m "my watermark" --mode watermark

# Embed with AES encryption and explicit ordering
pdf-stego embed -i document.pdf -o encrypted-payload.pdf -m "secret" --encryption aes --key "passphrase" --order forwards

# Extract (flags must match what was used during embed)
pdf-stego extract -i payload.pdf
pdf-stego extract -i watermarked.pdf --mode watermark
pdf-stego extract -i encrypted-payload.pdf --encryption aes --key "passphrase" --order forwards

# Show object counts and watermark status
pdf-stego info -i document.pdf

Important: Extraction requires the same --mode, --order, --seed, --channel, and --encryption/--key flags that were used during embedding.

Python API

from pdf_stego import embed, extract, info

# Embed
embed("input.pdf", "output.pdf", "my watermark", mode="watermark")

# Embed with encryption
embed("input.pdf", "output.pdf", "secret", encryption="aes", encryption_key="passphrase")

# Embed payload from a file
from pathlib import Path
embed("input.pdf", "output.pdf", Path("payload.txt"))

# Extract (parameters must match embed)
data = extract("watermarked.pdf")
data = extract("watermarked.pdf", encryption="aes", encryption_key="passphrase")
data = extract("watermarked.pdf", mode="watermark", output="extracted.bin")

# Inspect
info("document.pdf")

Modes

  • payload (default) — Base64-encodes the input and splits it across available objects to maximize capacity. Each chunk is independently decodable. Can be ordered via --order (forwards, backwards, or random). A --seed can be supplied for random ordering (default: 0).
  • watermark — Embeds the full data into every available object for maximum redundancy and survivability.

Channels

  • font — Embed in Font Dictionary Objects only
  • xobject — Embed in Image/Form XObjects only
  • both (default) — Embed in both channels

Encryption

  • none (default) — No encryption
  • aes — AES-256-GCM with PBKDF2 key derivation

Reference

[1] Jiang, Z., Wang, H. & Han, S. A robust PDF watermarking scheme with versatility and compatibility. Multimed Tools Appl 83, 64341-64367 (2024). https://doi.org/10.1007/s11042-024-18151-w

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pdf_stego-0.1.5.tar.gz (79.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pdf_stego-0.1.5-py3-none-any.whl (15.6 kB view details)

Uploaded Python 3

File details

Details for the file pdf_stego-0.1.5.tar.gz.

File metadata

  • Download URL: pdf_stego-0.1.5.tar.gz
  • Upload date:
  • Size: 79.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.30 {"installer":{"name":"uv","version":"0.11.30","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for pdf_stego-0.1.5.tar.gz
Algorithm Hash digest
SHA256 3c615657aed4bd720a71fdcef0119256322eba35dfd86707ec26486ec082813b
MD5 2c6b57d40b92202952d505ff741e4d1e
BLAKE2b-256 7c38ed9e83ac0ee71f7d1dc9cd0862192a86b4bc0a9a131b2fa315a7609d6bd6

See more details on using hashes here.

File details

Details for the file pdf_stego-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: pdf_stego-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 15.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.30 {"installer":{"name":"uv","version":"0.11.30","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for pdf_stego-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 f2d42c81d4fb271ff9836d260d17dfb42833cbbf198b6c48f1dcaa143008bc9c
MD5 5fbc26c8ff1ea409405e6d782e3ce0ed
BLAKE2b-256 93013b6531d41d623c4094221f65a82d28bbf7ba367b6e652a07465622d5a12c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page