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LibreAV v1.0.2 (10002) (Open Source Real Time Scanning Antivirus)


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LibreAV v1.0.2 (10002) (Open Source Real Time Scanning Antivirus)






LibreAV is an attempt to detect malware on Android devices using a machine learning approach that is powered by TensorFlow. We use a two-layer neural network trained with a carefully selected set of features. The neural network is tuned in such a way that it performs efficiently on mobile devices where computational resources are limited. Tests show that LibreAV performs efficiently and effectively even on low-end mobile devices. With LibreAV, you can scan all the installed apps in your device in a matter of seconds. It also has a realtime scan feature which alerts you whenever an app is installed or updated.




• Real time scanning

• On device inference

• Lightweight

• 100% free and no ads


How it works?


LibreAV uses permissions and intent-filters to detect malicious apps. While scanning, it loads the machine learning model and extracts permissions and intents from the installed applications on the user's device. These extracted features are then fed to the machine learning model in the form of a vector. The machine learning model returns a prediction score between 0 and 1 that denote the degree of maliciousness of the scanned application. We use this score to classify the scanned app into one of the following categories:


1. Goodware: The prediction score is less than 0.5

2. Risky: Prediction score between 0.5 and 0.75

3. Malware: Prediction score is greater than 0.75

4. Unknown: If LibreAV is unable to extract permissions and intents from an app, then that app is labelled as 'Unknown'


You can check the code for building machine learning model here






Changelog: This is the first release of LibreAV on F-Droid.


• Rebuilt the open-source library info    screen with About Libraries

• Updated the targetSdkVersion to 29

• Updated gradle version to 6.1.1



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