EMBER2024 is an update to the EMBER2017 and EMBER2018 datasets. It includes raw features and labels for 3.2 million malicious and benign files from 6 different file types (Win32, Win64, .NET, APK, ELF, and PDF). EMBER2024 is meant to allow researchers to explore a variety of common malware analysis classification tasks. The dataset includes 7 types of labels and tags that support malicious/benign detection, malware family classification, malware behavior prediction… See the full description on the dataset page:
https://huggingface.co/datasets/mayfloret/EMBER2024.
