StegoForge - The ultimate steganography and digital forensics t

项目说明

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<img src=" alt="StegoForge Dashboard" width="850">

# 🛡️ StegoForge
The ultimate hybrid of steganography, digital forensics, and covert communications.

![Python]()
![Platform]()
![GitHub Stars]()
![GitHub Downloads]()
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⚡ Quick Launch (Standalone Binaries)

StegoForge is a complex Python framework, but you shouldn't have to deal with broken en when doing acti. We ha zero-dependency, nati that automatically resol own AI and Media requirements.

Head over to the Releases Page and download the binary for your OS.
* No pip install required.
* No PATH configurations.
* Just execute it.

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🚀 Quick Start in 30 Seconds

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🧠 What is StegoForge?

> The Concept in Plain English: *Steganography is the art of hiding secrets in plain sight. StegoForge takes your secret message or file and mathematically weaves it into the pixels of a normal photo, the soundwaves of a song, or the frames of a video. To the rest of the world, it just looks like a regular meme or MP3 track. To you, it's an in vault.*

StegoForge is a modular, enterprise-grade steganography toolkit engineered for the full lifecycle of covert data: from embedding payloads into images, audio, video, and acti protocols, to deploying machine-learning steganalysis to forcibly extract anomalies from suspicious carrier files.

Built for security researchers, CTF players, and digital forensics practitioners, it doesn't try to be one thing. It executes the entire forensic spectrum seamlessly.

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Feature O

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💻 De Installation

If you wish to build StegoForge from source or utilize the Python APIs natively:

Fire up the Glassmorphism Web App instantly:

> Note on ML Architecture: StegoForge implements true Machine Learning steganalysis. The very first time you boot the engine, it will silently interface with HuggingFace to download the ONNX CNN weights directly into your ~/.stegoforge/models cache.

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🎨 Interactive Menu (Recommended for Beginners)

Don't want to memorize terminal commands? Just run the tool on its own to access the interactive CLI!

> The menu features a cinematic startup sequence, grouped method selection, and guided transitions between Encoding, Decoding, and Forensics.

Pro-Tips for Automation:

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💻 Ad Command Line Interface

If you prefer raw terminal throughput, the CLI supports hyper-specific routing for all modules.

🥷 1. Payload Encoding

🔓 2. Payload Decoding

🕵️ 3. Blind Forensics & CTF Mode (Zero-Knowledge)

🛰️ 4. Covert Protocols (Dead Drops)

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🔬 Detection Methods O

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<summary><b>Click to expand full list of Forensic Capabilities</b></summary>

| Method | Target File | What It Automatically Detects |
|---|---|---|
| Chi-square | Images | LSB frequency distribution anomalies |
| RS Analysis | Images | Payload capacity estimation without a key |
| ML Steganalysis | Images | Learned stego likelihood from HuggingFace ONNX CNN models |
| Fingerprint | Images | PRNU inconsistency + in-browser tamper heatmaps |
| Video anomaly | MP4/WebM | Keyframe DCT-distribution anomalies |
| Audio anomaly | WAV/FLAC/MP3 | Sample bit-plane and statistical irregularities |
| PDF anomaly | PDF | Suspicious /EmbeddedFile, JS, or tail entropy |
| Blind extractor | Multimedia | Auto-tries common bit-patterns and AES-magic headers |

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📂 System Architecture

<details>
<summary><b>Click to explore StegoForge's Module Tree</b></summary>

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🚀 Supported Capabilities Matrix

| Carrier Format | Injection Method | Extraction Status | Forensic Blind Detection |
|:---:|:---:|:---:|:---:|
| PNG | ✅ LSB, Alpha, Palette | ✅ Supported | ✅ Supported |
| JPEG | ✅ DCT | ✅ Supported | ✅ Supported |
| MP4 | ✅ Video DCT, Motion | ✅ Supported | ✅ Supported |
| WAV / MP3 | ✅ Sample, Phase, Spectro | ✅ Supported | ✅ Supported |
| PDF | ✅ Object/Stream | ✅ Supported | ✅ Supported |
| Office XML | ✅ XML Streams | ✅ Supported | ✅ Supported |
| ELF / PE | ✅ Slack Space / Header | ✅ Supported | ✅ Supported |

Social sur targets currently supported wrapping: twitter, instagram, , discord, whatsapp, signal.

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⚖️ Legal Disclaimer & Contributing

> Strictly Educational Disclaimer:
> StegoForge was engineered strictly for digital forensics research, Capture The Flag (CTF) competitions, and lawful offensi testing.
> Concealing illegal content, orchestrating unauthorized data exfiltration, or attempting to evade lawful sur is uni illegal. The author accepts zero liability for any misuse of this technology.

Contributing:
Pull requests are heavily welcomed. Please ensure new encoding methods implement the BaseEncoder interface and contain robust PyTest co.

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<b>Built by Nour833. Coded for the community.</b><br>
<i>If you find StegoForge useful, educational, or just plain cool, consider leaving a ⭐!</i><br><br>
<a href="../../issues">Report a Bug</a> • <a href="../../issues">Request a Feature</a>
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项目信息

开发语言：Python

Star 数：595

技术要点

该项目属于CTF思路方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕The ultimate steganography and digital forensics toolkit. Hide and extract data across images, audio, video, documents, and network packets, or run 11 advanced detection engines to uncover hidden payloads.展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。