A neural approach to malware detection in portable executables
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Updated
Mar 20, 2023 - Python
A neural approach to malware detection in portable executables
Small visualizator for PE files
Python implementation of the Packed Executable iDentifier (PEiD)
Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection
RE scripts, snippets (IDA, lief, gdb, etc.)
Dataset of packed PE samples
A Malware Prediction model that predicted if the PE format file is malicious or legitimate.
Analysis tool for estimating the likelihood that a binary contains compressed or encrypted bytes
Packing detection tool for PE files
Machine Learning Malware Detector
Implementation of the packing detection heuristic from the paper "Packed PE File Detection for Malware Forensics" of Han et al.
PE file parser developed on the course "Reverse Engineering and Malware Analysis" at FER.
Inject a New Section to the pe-executable file
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