https://github.com/cybersecurity-dev/awesome-malware-datasets?tab=readme-ov-file
Awesome Malware Datasets
https://github.com/cybersecurity-dev/awesome-malware-datasets?tab=readme-ov-file
List: awesome-malware-datasets?tab=readme-ov-file
awesome awesome-list awesome-lists malware-detection malware-sample malware-samples
Last synced: 4 months ago
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Awesome Malware Datasets
- Host: GitHub
- URL: https://github.com/cybersecurity-dev/awesome-malware-datasets?tab=readme-ov-file
- Owner: cybersecurity-dev
- License: cc0-1.0
- Created: 2025-06-09T22:03:45.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-06-20T10:44:05.000Z (5 months ago)
- Last Synced: 2025-06-20T11:38:33.293Z (5 months ago)
- Topics: awesome, awesome-list, awesome-lists, malware-detection, malware-sample, malware-samples
- Homepage:
- Size: 45.9 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Awesome [Malware](https://en.wikipedia.org/wiki/Malware) [Datasets](https://en.wikipedia.org/wiki/Data_set) [](https://awesome.re)
## Contents
- [Operating System Based](#operating-system-based)
- [Linux](#linux)
- [Windows](#windows)
- [Android](#android)
- [Specific Dataset](#specific-dataset)
- [Network](#network)
- [Online Malware Sharing Platforms ](#online-malware-sharing-platforms)
## Operating System Based
### Linux
-
- [Dataset of packed ELF files](https://github.com/packing-box/dataset-packed-elf) - This dataset was made from a set of 482 not packed cleanware including executable and object files coming from /usr/bin from a fresh installation of Ubuntu 20.04.
- [Virus Samples](https://github.com/MalwareSamples/Linux-Malware-Samples) - Linux Malware Sample Archive including various types of malicious ELF binaries and viruses.
### Windows
-
- [Dataset of packed PE files](https://github.com/packing-box/dataset-packed-pe) - Dataset of packed PE samples.
-
### Android
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- [CICAndMal2017](https://www.unb.ca/cic/datasets/andmal2017.html) - **CICAndMal2017** is a publicly available Android malware dataset created by the Canadian Institute for Cybersecurity (CIC) at the University of New Brunswick (UNB).
- [Virus Samples](https://github.com/MalwareSamples/Android-Malware-Samples) - Android Malware Samples
[🔼 Back to top](#awesome-malware-datasets-)
## Specific Dataset
### Network
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- [Malrec Dataset](https://giantpanda.gtisc.gatech.edu/malrec/) - The **Malrec Dataset** is a significant and highly specialized malware dataset that offers a unique approach to malware analysis. Developed through a collaboration between NYU, Georgia Tech, and MIT Lincoln Laboratory, its core innovation lies in its method of data collection.
- [malware-traffic-analysis.net](https://malware-traffic-analysis.net/) - **malware-traffic-analysis.net** is a highly regarded and specialized website dedicated to sharing packet capture (PCAP) files and malware samples.
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[🔼 Back to top](#awesome-malware-datasets-)
### Online Malware Sharing Platforms
- [Contagio](https://contagiodump.blogspot.com/) - **Contagio** is a collection of the historic malware samples, threats, observations, and analyses.
- [MalShare](https://malshare.com) - The **MalShare** Project is a collaborative effort to create a community driven public malware repository that works to build additional tools to benefit the security community at large.
- [MalwareBazaar](https://bazaar.abuse.ch/browse) - **MalwareBazaar** is a platform from abuse.ch and Spamhaus, dedicated to sharing malware samples with the infosec community, antivirus vendors, and threat intelligence providers.
- [The Malware Museum](https://archive.org/details/malwaremuseum) - **The Malware Museum** is a collection of malware programs, usually viruses, that were distributed in the 1980s and 1990s on home computers.
- [Virus Samples](https://www.virussamples.com/) - **Virus Samples** collection of actual malicious software files. These platforms are generally used by cybersecurity researchers, analysts, and professionals for specific purposes, not for the general public to download and interact with.
- [VX Underground](https://vx-underground.org/Samples) - **VX Underground** is a prominent educational website and online repository dedicated to malware and cybersecurity. It's widely known for its extensive collection of malware samples, source code, and related research papers.
- [VXvault](http://vxvault.net/) - **VXvault** is a threat intelligence platform that specializes in the collection and analysis of malware samples, indicators of compromise (IoCs), and associated threat data.
[🔼 Back to top](#awesome-malware-datasets-)
### Fileless
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### APT
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### Evasive
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### My Other Awesome Lists
* [awesome-advanced-persistent-threat](https://github.com/cybersecurity-dev/awesome-advanced-persistent-threat)
* [awesome-apk-feature-extractor](https://github.com/cybersecurity-dev/awesome-apk-feature-extractor)
* [awesome-elf-feature-extractor](https://github.com/cybersecurity-dev/awesome-elf-feature-extractor)
* [awesome-fileless-malware](https://github.com/cybersecurity-dev/awesome-fileless-malware)
* [awesome-malware-traffic-analysis](https://github.com/cybersecurity-dev/awesome-malware-traffic-analysis)
* [awesome-malware-traffic-analysis-scientific-research](https://github.com/cybersecurity-dev/awesome-malware-traffic-analysis-scientific-research)
* [awesome-metamorphic-malware](https://github.com/cybersecurity-dev/awesome-metamorphic-malware)
* [awesome-online-malware-analysis-tools](https://github.com/cybersecurity-dev/awesome-online-malware-analysis-tools)
* [awesome-pcap-feature-extractor](https://github.com/cybersecurity-dev/awesome-pcap-feature-extractor)
* [awesome-pe-feature-extractor](https://github.com/cybersecurity-dev/awesome-pe-feature-extractor)
* [awesome-polymorphic-malware](https://github.com/cybersecurity-dev/awesome-polymorphic-malware)
* [awesome-smartcontract-datasets](https://github.com/cybersecurity-dev/awesome-smartcontract-datasets)
* [awesome-smartcontract-feature-extractor](https://github.com/cybersecurity-dev/awesome-smartcontract-feature-extractor)
* [awesome-static-linux-malware-analysis-scientific-research](https://github.com/cybersecurity-dev/awesome-static-linux-malware-analysis-scientific-research)
* [awesome-static-windows-malware-analysis-scientific-research](https://github.com/cybersecurity-dev/awesome-static-windows-malware-analysis-scientific-research)
* [awesome-vulnerability-research](https://github.com/cybersecurity-dev/awesome-vulnerability-research)
* [awesome-vulnerable-smart-contract-scientific-research](https://github.com/cybersecurity-dev/awesome-vulnerable-smart-contract-scientific-research)
## Contributing
[Contributions of any kind welcome, just follow the guidelines](contributing.md)!
### Contributors
[Thanks goes to these contributors](https://github.com/cybersecurity-dev/awesome-malware-datasets/graphs/contributors)!
[🔼 Back to top](#awesome-malware-datasets-)