DasariJayanth/Malware-Detection-in-PE-files-using-Machine-Learning
Detecting Malware in PE files
This project helps cybersecurity professionals analyze executable files to determine if they contain malware. You input Portable Executable (PE) files like .exe or .dll, and it outputs a prediction indicating whether the file is malicious or benign. This tool is for cybersecurity analysts, incident responders, or anyone needing to assess the threat posed by an unknown executable file.
No commits in the last 6 months.
Use this if you need to quickly classify unknown Portable Executable files as either malware or benign, leveraging an established machine learning model.
Not ideal if you require in-depth reverse engineering capabilities or detailed behavioral analysis of malware, as this focuses on static file analysis.
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Last pushed
Aug 08, 2023
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