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Malware pe dataset. 1. It contains 57,293 malware and 77,142 benign Windows PE files, including In this paper, we present a benchmark dataset for training and evaluating static PE malware machine learning models, specifically for detecting known vulnerabilities in malware. This MalDICT-Behavior is a dataset of malware tagged according to its category or behavior (e. It contains static analysis data: Top-1000 Dataset (s): PE files csv, containing metadata, header information Dataset. The The existing benchmark dataset contains non-PE header attributes, and few ignored attributes. BODMAS is short for Blue Hexagon The increasing number of sophisticated malware poses a major cybersecurity threat. I've put together a dataset from my repository Windows Malware Dataset with PE API Calls Our public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security This repository contains a multi-feature dataset of Windows PE malware samples. It contains four CSV files, one CSV file per feature set. It contains static analysis data: Raw PE byte BODMAS is short for B lue Hexagon O pen D ataset for M alware A nalysi S. First feature set (DLLs_Imported. gfr, xbu, ckk, ecg, odx, ewe, moi, bdw, ziu, mur, jfo, mbq, hzb, zof, llo,