malware-dataset 开源项目推荐（21 个）

cryptwareapps /Malware-Database

Cryptware Apps 提供的大型恶意软件样本仓库，包含 2500+ 个恶意软件样本及适用于多种平台的源代码。

Virus-Samples /Malware-Sample-Sources

恶意软件样本来源

ocatak /malware_api_class

面向安全研究人员和数据科学家的恶意软件数据集。由 Cuckoo Sandbox 基于 Windows OS API 调用分析生成的公开恶意软件数据集，供网络安全研究人员使用

whyisyoung /BODMAS

Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon Open Dataset for Malware AnalysiS.

urwithajit9 /ClaMP

A Malware classifier dataset built with header fields’ values of Portable Executable files

ocatak-zz /malware_api_class

Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers

DNClub /Ultimate-Stealer-Collection

仅供教育用途，包含窃密器构建器样本及截图。

0xh3xa /awesome-malware-benign-datasets

👾 A list of malware and benign datasets for malware research

VirusSign /malware-samples

Live malware samples and database, daily update.

VISWESWARAN1998 /Malware-Classification-and-Labelling

Malware Classification and Labelling using Deep Neural Networks

reverseame /MALVADA

MALVADA: Malware Execution Traces Dataset generation.

cybersecurity-dev /awesome-malware-datasets

Awesome Malware Datasets

4dsec /inferno

Malware dataset built using custom malware commonly seen in red-team engagements

CyberSaR-KAUST /Ransomware-Malware-Family-Detection-Dataset

Ransomware detection dataset with function call graphs (FCG) for real-time malware family classification using deep learning and machine learning.

packing-box /python-malsearch

Library for getting samples from multiple malware databases

CyberSaR-KAUST /LCC-LLM-Leveraging-Code-Centric-Dataset-for-Large-Language-Models-Malware-Family-Attribution

LCC-LLM: Leveraging Code-Centric Dataset for Large Language Models Malware Family Attribution

4dsec /tritium

Malwarebazaar dataset from ~2022 threat actors used in the rapidrift study

XiAnzheng-ID /RansomPyShield-Model

Malware Classifer Trained using XGBoost with Optuna and YARA Integration

cybersecurity-dev /awesome-benign-datasets

Awesome Benign Datasets

Djaferbenchadi /Malware_analysis_binary

Malware Spoofing, distinguishing between malware and Benign (safe) files based on representative digital images.