Releases: Vyzer9/Steganography-C2
Alpha Version
🚀 Alpha Version - v1.0-alpha
This is the first alpha release of the Steganography and C2 Tool, marking a major improvement in usability and workflow efficiency.
✅ Key Improvements
🔗 Web Integration with Local API:
The steganography process no longer requires full manual handling.
Users can now simply activate the backend API (uvicorn api.main:app --reload) and perform all actions directly through the web interface.
⚡ Increased Speed & Usability:
The streamlined interaction between the web panel and the backend significantly improves the overall speed and ease of use.
🖼️ Image-based Communication Simplified:
Injecting and extracting hidden messages into/from images can now be done visually through the site — no manual encoding required.
🛠️ In Development
🌐 Auto-Start Backend (Planned):
Future versions will eliminate the need to manually start the API. The backend will launch automatically with the website.
🧪 Reminder
This is an alpha version, meaning bugs may still occur.
Please use it for testing and research purposes only.
What's Changed
New Contributors
Full Changelog: v0.1.0-beta...v1.0-alpha
Beta Release - v0.1.0
🚀 Beta Release - v0.1.0
This is the first beta version of the C2-Educational-Steganography project.
The goal of this version is to provide a functional foundation for encoding and extracting payloads from images, using security and encryption protocols.
✨ Features
- Payload Encoder/Decoder:
Allows embedding and extracting messages from images. - Secure Protocol:
Implementation ofsecure_encodeandsecure_decodewith encryption (Fernet). - Base64 Messages:
Converts messages to Base64 format for transport. - Modular Structure:
Organized folders:payload_encoder/,payloads/,shared/.
⚠️ Notices
- This version is still in the testing phase. - Possible bugs in the
decodeprocess and the encryption key (Fernet). - Do not use in production environments.
🛠 How to run
# Embed
PYTHONPATH=. python3 payload_encoder/output/embed_payload.py
# Extract
PYTHONPATH=. python3 payload_encoder/output/extract_payload_img.py