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@mal2-project

MAchine Learning detection of MALicious content (MAL2)

results of the MAL2 project for a) classification of fraudulent eCommerce (Fake-Shops) and b) detection of Potentially Harmful Android Apps (PHAs)

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  1. android-malware-detection_android_app android-malware-detection_android_app Public

    MAL2 Android-Malware Detection - Android app for scanning your device for potentially harmful applications based on the mal_ai predictive machine learning models

    CSS 3 1

  2. android-malware-detection_detector-api-and-models android-malware-detection_detector-api-and-models Public

    MAL2 Android-Malware Detection training machine learning detection models and providing API for submitting APK files and getting them analysed

    Jupyter Notebook 2 1

  3. fake-shop-detection_models fake-shop-detection_models Public

    MAL2 Fake-Shop Detection. Python component for machine learning model training, and prediction of risk-scores of random sites with command line and vnc access to the expert analysis dashboard

    HTML 1 1

  4. android-malware-detection_apk_downloader android-malware-detection_apk_downloader Public

    MAL2 Android-Malware Detection - downloads APK files from Google Playstore based on the package signatures received from the app to pass them on to for further inspection to the mal2_ai predictive …

    Vue 1

  5. fake-shop-detection_browser-plugin fake-shop-detection_browser-plugin Public

    MAL2 Fake-Shop Detection Browser Plugin for real-time protection of unknown fraudulent online-shops through mal2_ai predictive capabilities

    JavaScript 1

  6. fake-shop-detection_database fake-shop-detection_database Public

    MAL2 Fake-Shop Detection Database. Multi-User Application with OpenAPI3 Endpoints for deadling with the inspection of fake-shops

    JavaScript

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