SecuredImage: A Practical System for Detecting Malicious Payloads Hidden in Images

SecuredImage, a practical system that detects malicious payloads hidden in images.

SecuredImage, a practical system that detects malicious payloads hidden in images. It is offered as a reference project: a complete, worked example of how a system like this is designed, built and evaluated, so that a developer can study it, run it and learn from it.

It suits learners who want practical security experience: understanding the threat, building the defence or detector, testing it against realistic attacks and reporting the results.

The main parts are security and privacy controls such as encryption and access control, a realistic threat model, the detection or protection mechanism itself, testing against sample attacks, and reporting and alerting of findings. The reference build uses Python, scikit-learn, Wireshark, and OpenSSL, with a clear project structure, setup instructions and sample data so that it can be run and extended.