The MD5 Hash Classification Tool is a web-based application that allows users to classify MD5 hash values as either malicious or non-malicious using a pre-trained machine learning model. The tool leverages a combination of numeric and text-based features to make predictions and provides a user-friendly interface for real-time predictions.
Predicts whether an MD5 hash is malicious or not. Accepts user input for MD5 hash values. Provides instant predictions on the user interface.
git clone <repository-url>
pip install -r requirements.txt
python app.py
http://localhost:5000
Enter an MD5 hash in the input field and click the "Predict" button to receive a classification result.
- Dependencies
- Python 3.6+
- Flask
- scikit-learn
- joblib
- numpy
- pandas
- wtforms
The machine learning model used in this tool has been pre-trained on a dataset of MD5 hashes, including both malicious and non-malicious examples. The model has been trained to classify these hashes, and the tool uses the trained model to provide predictions.