[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-1163":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":25,"hasPages":25,"topics":26,"createdAt":10,"pushedAt":10,"updatedAt":36,"readmeContent":37,"aiSummary":38,"trendingCount":16,"starSnapshotCount":16,"syncStatus":14,"lastSyncTime":39,"discoverSource":40},1163,"StegoForge","Nour833\u002FStegoForge","Nour833","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.","",null,"Python",477,66,2,1,0,55,67,147,165,5.48,"MIT License",false,"main",true,[27,28,29,30,31,32,33,34,35],"cryptography","ctf","ctf-tools","cybersecurity","forensics","python","security","security-tools","steganography","2026-06-12 02:00:24","\u003Cdiv align=\"center\">\n  \u003Cimg src=\"https:\u002F\u002Fraw.githubusercontent.com\u002FNour833\u002FStegoForge\u002Fmain\u002Finterface.gif\" alt=\"StegoForge Dashboard\" width=\"850\">\n\n  # 🛡️ StegoForge\n  **The ultimate hybrid of steganography, digital forensics, and covert communications.**\n\n  [![Python](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FPython-3.10%2B-3776AB?style=for-the-badge&logo=python&logoColor=white)](https:\u002F\u002Fpython.org)\n  [![License](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-MIT-green?style=for-the-badge)](LICENSE)\n  [![Platform](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FPlatform-Windows%20%7C%20macOS%20%7C%20Linux-lightgrey?style=for-the-badge)](https:\u002F\u002Fgithub.com\u002FNour833\u002FStegoForge\u002Freleases)\n  [![GitHub Stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FNour833\u002FStegoForge?style=for-the-badge&logo=github&color=gold)](https:\u002F\u002Fgithub.com\u002FNour833\u002FStegoForge\u002Fstargazers)\n  [![GitHub Downloads](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fdownloads\u002FNour833\u002FStegoForge\u002Ftotal?style=for-the-badge&logo=github&color=brightgreen)](https:\u002F\u002Fgithub.com\u002FNour833\u002FStegoForge\u002Freleases)\n  [![CTF](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCTF-Ready-red?style=for-the-badge)](#-3-blind-forensics--ctf-mode-zero-knowledge)\n\u003C\u002Fdiv>\n\n---\n\n## ⚡ Quick Launch (Standalone Binaries)\n\nStegoForge is a complex Python framework, but you shouldn't have to deal with broken environments when doing active forensics. We have compiled **zero-dependency, native executables** that automatically resolve their own AI and Media requirements.\n\nHead over to the **[Releases Page](https:\u002F\u002Fgithub.com\u002FNour833\u002FStegoForge\u002Freleases)** and download the binary for your OS.\n* No `pip install` required.\n* No `PATH` configurations.\n* **Just execute it.**\n\n---\n\n## 🚀 Quick Start in 30 Seconds\n\n```bash\n# 1. Hide a file inside an image (AES-256-GCM encrypted, auto-method)\nstegoforge encode -c photo.png -p secret.pdf -k \"my-pass\"\n\n# 2. Retrieve the hidden file\nstegoforge decode -f photo_stego.png -k \"my-pass\"\n\n# 3. CTF one-click forensic dump on any suspicious file\nstegoforge ctf -f suspicious.mp3\n\n# 4. Compare original vs stego — pixel heatmap\nstegoforge diff -c photo.png -s photo_stego.png\n\n# 5. Batch embed a secret into every carrier in a folder\nstegoforge batch -d .\u002Fcarriers\u002F -p secret.txt -k \"my-pass\"\n\n# 6. Check capacity and stealth score of a carrier\nstegoforge capacity -c photo.png --depth 2\n\n# 7. Simulate Twitter recompression and test payload survives\nstegoforge encode -c photo.png -p secret.txt -k \"my-pass\" --target twitter --test-survival\n\n# 8. Launch the local web UI (no data ever leaves your machine)\nstegoforge web\n\n# Install tab-completion (bash)\neval \"$(stegoforge completion bash)\"\n\n# Use env var to avoid key in shell history\nexport STEGOFORGE_KEY=\"my-pass\"\nstegoforge decode -f stego.png   # key read from env\n```\n\n---\n\n## 🧠 What is StegoForge?\n\n> **The Concept in Plain English:** *Steganography is the art of hiding secrets in plain sight. StegoForge takes your secret message or file and mathematically weaves it into the pixels of a normal photo, the soundwaves of a song, or the frames of a video. To the rest of the world, it just looks like a regular meme or MP3 track. To you, it's an invisible vault.*\n\nStegoForge is a **modular, enterprise-grade steganography toolkit** engineered for the full lifecycle of covert data: from embedding payloads into images, audio, video, and active network protocols, to deploying machine-learning steganalysis to forcibly extract anomalies from suspicious carrier files. \n\nBuilt for security researchers, CTF players, and digital forensics practitioners, it doesn't try to be one thing. It executes the entire forensic spectrum seamlessly.\n\n```\n$ stegoforge encode --carrier cover.png --payload secret.txt --key \"mypassword\" --method lsb\n[+] Payload encrypted with AES-256-GCM\n[+] Embedded 2048 bits across RGB channels (1-bit depth)\n[+] Output: cover_stego.png\n[+] Statistical profile: indistinguishable from baseline (chi² = 0.021)\n\n$ stegoforge ctf --file suspicious.mp3\n[*] Running all detectors on suspicious.mp3 ...\n[⏭] Chi-square LSB anomaly      SKIPPED\n[⏭] RS analysis                 SKIPPED \n[!] Blind extractor found payload at: audio-lsb, depth=1, AES encrypted blob\n[+] Extracted 412 bytes → saved to extracted_payload.bin\n```\n\n---\n\n## Feature Overview\n\n```\nstegoforge\u002F\n├── Image Carriers          PNG · JPEG · BMP · GIF · WebP\n│   ├── LSB \u002F Adaptive LSB  1–4 bit depth + WOW-style content-aware cost ordering\n│   ├── DCT + JND-safe cap  JPEG frequency-domain embedding + Watson-style perceptual budget\n│   ├── Fingerprint LSB     PRNU-aware embedding mode\n│   └── Alpha \u002F Palette     Transparency and indexed-color channels\n│\n├── Video Carriers          MP4 · WebM\n│   ├── Video DCT           Keyframe embedding with block-cost ranking\n│   └── Video Motion        Temporal+texture masked block embedding (MP4)\n│\n├── Audio Carriers          WAV · FLAC · MP3 · OGG\n│   ├── Sample LSB          Psychoacoustic-style cost-ordered PCM LSB\n│   ├── Phase coding        Segment-phase encoding\n│   └── Spectrogram art     Visual payloads in spectrum domain\n│\n├── Document Carriers       TXT · PDF · DOCX · XLSX\n│   ├── Unicode whitespace  Adaptive insertion-point ranking (ZWSP\u002FZWNJ\u002FZWJ)\n│   ├── Linguistic mode     Key-aware synonym-channel text steganography\n│   ├── PDF streams         Object\u002Fstream\u002Fmetadata injection\n│   └── Office XML          Custom XML parts and streams\n│\n├── Binary Carriers         ELF · PE\u002FEXE\u002FDLL (CLI)\n│   ├── ELF slack\u002Fnotes     2-bit masked region-cost embedding\n│   └── PE slack\u002Foverlay    2-bit masked region-cost embedding\n│\n├── Network Covert Channels (CLI)\n│   ├── TCP field channels  ip_id, tcp_seq, ttl\n│   └── Timing channel      Inter-packet delay encoding\n│\n├── Crypto + Survivability\n│   ├── AES-256-GCM + Argon2\n│   ├── Decoy mode          Dual-payload plausible deniability\n│   ├── Wet-paper wrapping  Reed-Solomon resilience wrapper\n│   └── Platform profiles   Social-media-aware method selection\u002Fsimulation\n│\n└── Interfaces\n  ├── CLI                 Hybrid-first grouped method selection + full command mode\n  ├── Web UI (Flask)      Grouped method pills, hybrid badges, local SSE streaming\n  └── CTF mode            One command, all relevant detectors, ranked report\n```\n\n---\n\n## 💻 Developer Installation\n\nIf you wish to build StegoForge from source or utilize the Python APIs natively:\n\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002FNour833\u002FStegoForge.git\ncd StegoForge\npip install -r requirements.txt\npip install -r requirements-web.txt\npip install -e .\n```\n\nFire up the Glassmorphism Web App instantly:\n```bash\nstegoforge web  # Automatically deploys at http:\u002F\u002Flocalhost:5000\n```\n\n> **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 `~\u002F.stegoforge\u002Fmodels` cache.\n\n---\n\n## 🎨 Interactive Menu (Recommended for Beginners)\n\nDon't want to memorize terminal commands? Just run the tool on its own to access the interactive CLI!\n\n```bash\nstegoforge\n```\n\n> The menu features a cinematic startup sequence, grouped method selection, and guided transitions between Encoding, Decoding, and Forensics.\n\n**Pro-Tips for Automation:**\n- `STEGOFORGE_FAST_UI=1 stegoforge` skips animations for rapid, zero-delay bootups.\n- `STEGOFORGE_UI_STAGE_DELAY=0.45 stegoforge` fine-tunes the pacing of the visual display.\n\n---\n\n## 💻 Advanced Command Line Interface\n\nIf you prefer raw terminal throughput, the CLI supports hyper-specific routing for all modules.\n\n### 🥷 1. Payload Encoding\n```bash\n# Basic LSB into PNG\nstegoforge encode -c photo.png -p message.txt -k \"passphrase\"\n\n# Stealth JPEG DCT with custom bit depth\nstegoforge encode -c photo.jpg -p secret.bin -k \"key\" --method dct\n\n# Spectrogram Art — Hide a visual image inside playable audio\nstegoforge encode -c music.wav -p logo.png --method spectrogram\n\n# Decoy mode — Generates two keys, hiding two payloads in one file for plausible deniability\nstegoforge encode -c photo.png -p real_secret.txt -k \"realkey\" \\\n                  --decoy decoy_message.txt --decoy-key \"duresskey\"\n```\n\n### 🔓 2. Payload Decoding\n```bash\nstegoforge decode -f photo_stego.png -k \"passphrase\"\nstegoforge decode -f music_stego.wav -k \"key\" --method phase\n```\n\n### 🕵️ 3. Blind Forensics & CTF Mode (Zero-Knowledge)\n```bash\n# Run the complete heuristic gauntlet natively (Highly Recommended)\nstegoforge ctf -f suspicious.png\n\n# Targeted ML \u002F Statistical Detection\nstegoforge detect --chi2 -f image.png\nstegoforge detect --rs -f image.png\n```\n\n### 🛰️ 4. Covert Protocols (Dead Drops)\n```bash\n# Embed a payload and securely POST it as a disguised HTTP packet\nstegoforge deadrop post -c cover.png -p msg.txt -k \"shared_key\"\n\n# Monitor a remote image URL for an incoming payload change\nstegoforge deadrop monitor --url \"https:\u002F\u002Fexample.com\u002Fimage.png\" -k \"shared_key\" --interval 20\n```\n\n---\n\n## 🔬 Detection Methods Overview\n\n\u003Cdetails>\n\u003Csummary>\u003Cb>Click to expand full list of Forensic Capabilities\u003C\u002Fb>\u003C\u002Fsummary>\n\n| Method | Target File | What It Automatically Detects |\n|---|---|---|\n| **Chi-square** | Images | LSB frequency distribution anomalies |\n| **RS Analysis** | Images | Payload capacity estimation without a key |\n| **ML Steganalysis** | Images | Learned stego likelihood from HuggingFace ONNX CNN models |\n| **Fingerprint** | Images | PRNU inconsistency + in-browser tamper heatmaps |\n| **Video anomaly** | MP4\u002FWebM | Keyframe DCT-distribution anomalies |\n| **Audio anomaly** | WAV\u002FFLAC\u002FMP3 | Sample bit-plane and statistical irregularities |\n| **PDF anomaly** | PDF | Suspicious `\u002FEmbeddedFile`, JS, or tail entropy |\n| **Blind extractor** | Multimedia | Auto-tries common bit-patterns and AES-magic headers |\n\n\u003C\u002Fdetails>\n\n---\n\n## 📂 System Architecture\n\n\u003Cdetails>\n\u003Csummary>\u003Cb>Click to explore StegoForge's Module Tree\u003C\u002Fb>\u003C\u002Fsummary>\n\n```text\nstegoforge\u002F\n├── core\u002F\n│   ├── image\u002F          # LSB, Adaptive WOW, DCT, PRNU Fingerprinting, Palette\n│   ├── audio\u002F          # PCM LSB, Phase-Coding, Spectrogram visual embedding\n│   ├── video\u002F          # Keyframe block-cost, motion temporal masks\n│   ├── document\u002F       # PDF Streams, Office XML, Unicode Zero-Width\n│   ├── network\u002F        # Timing channels, TCP field covert channels\n│   ├── crypto\u002F         # AES-256-GCM, Decoy Deniability, Argon2 KDF\n│   └── binary\u002F         # ELF \u002F PE Slack space embedding\n├── detect\u002F             # Statistical analysis, HuggingFace ONNX CNNs, Brute-forcing\n├── protocol\u002F           # HTTP Dead Drops, X25519 Stego Key Exchange\n└── web\u002F                # High-performance Flask dashboard & Server-Sent Events\n```\n\u003C\u002Fdetails>\n\n---\n\n## 🚀 Supported Capabilities Matrix\n\n| Carrier Format | Injection Method | Extraction Status | Forensic Blind Detection |\n|:---:|:---:|:---:|:---:|\n| **PNG** | ✅ LSB, Alpha, Palette | ✅ Supported | ✅ Supported |\n| **JPEG** | ✅ DCT | ✅ Supported | ✅ Supported |\n| **MP4** | ✅ Video DCT, Motion | ✅ Supported | ✅ Supported |\n| **WAV \u002F MP3** | ✅ Sample, Phase, Spectro | ✅ Supported | ✅ Supported |\n| **PDF** | ✅ Object\u002FStream | ✅ Supported | ✅ Supported |\n| **Office XML** | ✅ XML Streams | ✅ Supported | ✅ Supported |\n| **ELF \u002F PE** | ✅ Slack Space \u002F Header | ✅ Supported | ✅ Supported |\n\nSocial survivability targets currently supported via Reed-Solomon wrapping: `twitter`, `instagram`, `telegram`, `discord`, `whatsapp`, `signal`.\n\n---\n\n## ⚖️ Legal Disclaimer & Contributing\n\n> **Strictly Educational Disclaimer:**\n> StegoForge was engineered strictly for digital forensics research, Capture The Flag (CTF) competitions, and lawful offensive security testing. \n> Concealing illegal content, orchestrating unauthorized data exfiltration, or attempting to evade lawful surveillance is universally illegal. The author accepts zero liability for any misuse of this technology.\n\n**Contributing:**\nPull requests are heavily welcomed. Please ensure new encoding methods implement the `BaseEncoder` interface and contain robust PyTest coverage.\n\n\u003Cdiv align=\"center\">\n  \u003Cb>Built by Nour833. Coded for the community.\u003C\u002Fb>\u003Cbr>\n  \u003Ci>If you find StegoForge useful, educational, or just plain cool, consider leaving a ⭐!\u003C\u002Fi>\u003Cbr>\u003Cbr>\n  \u003Ca href=\"..\u002F..\u002Fissues\">Report a Bug\u003C\u002Fa> • \u003Ca href=\"..\u002F..\u002Fissues\">Request a Feature\u003C\u002Fa>\n\u003C\u002Fdiv>\n","StegoForge 是一个集成了隐写术、数字取证和秘密通信的工具包。它支持在图像、音频、视频、文档以及网络数据包中隐藏与提取数据，并提供了11种高级检测引擎来发现隐藏的有效载荷。项目采用Python语言编写，具备跨平台特性（支持Windows、macOS和Linux），并提供了无需依赖环境配置即可运行的独立二进制文件。特别适合网络安全专家、CTF竞赛选手或任何需要进行隐蔽通信及数字取证的专业人士使用。","2026-06-11 02:42:03","CREATED_QUERY"]