SOREL-20M (Sophos/ReversingLabs-20 Million)

SOREL-20M 是一个大规模数据集，由近 2000 万个文件组成，这些文件具有预先提取的特征和元数据、来自多个来源的高质量标签、有关在收集时恶意软件样本的供应商检测信息以及附加的“标签” ”与每个恶意软件样本相关，以作为附加目标。

SOREL-20M is a large-scale dataset consisting of nearly 20 million files. Each file contains pre-extracted features and metadata, high-quality labels from multiple sources, vendor detection information for malware samples at the time of collection, as well as additional "labels" associated with each malware sample to serve as additional targets.

搜集汇总

背景与挑战

背景概述

SOREL-20M是一个大规模恶意软件检测基准数据集，由近2000万个文件组成，包含预先提取的特征、元数据、高质量标签以及供应商检测信息。该数据集为恶意PE文件检测提供了丰富的附加目标标签，发布于2020年。