Best anti spyware for android1/22/2024 ![]() ![]() Unless explicitly stated otherwise all files in this repository are licensed under the GNU General Public License v3.0. Report False Positives: If you think LibreAV detected false positives, please report it here.You can also use Github Discussions to ask questions, share ideas and engage with other community members. Translation: If you want to help translate LibreAV into your language head over to the Crowdin project.You can check the code for building machine learning model here Contributing to LibreAVĬheck out our contribution guidelines here Unknown: If LibreAV is unable to extract permissions and intents from an app, then that app is labelled as 'Unknown'.Malware: Prediction score is greater than 0.75.Risky: Prediction score between 0.5 and 0.75.Goodware: The prediction score is less than 0.5.We use this score to classify the scanned app into one of the following categories: The machine learning model returns a prediction score between 0 and 1 that denote the degree of maliciousness of the scanned application. These extracted features are then fed to the machine learning model in the form of a vector. ![]() While scanning, it loads the machine learning model and extracts permissions and intents from the installed applications on the user's device. LibreAV uses permissions and intent-filters to detect malicious apps. LibreAV is an attempt to detect malwares on android devices by utilizing machine learning approach. SO PLEASE DO NOT JUDGE OTHER APPLICATIONS USING THE OUTPUT OF LIBREAV ALONE. ![]() THIS PROJECT IS DEVELOPED FOR EDUCATIONAL PURPOSES ONLY AND WE MAKE NO GUARANTEE THAT THE OUTPUT PRODUCED BY LIBREAV IS ABSOLUTELY CORRECT. ⚠️ ⚠️ PLEASE BE AWARE THAT LIBREAV IS STILL IN ITS EARLY STAGES OF DEVELOPMENT AND MAY CONTAIN A LOT OF FALSE POSITIVES IN PREDICTION. A free and open source anti-malware for android using machine learning. ![]()
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