DRAKVUF Sandbox is an automated black-box malware analysis system with DRAKVUF engine under the hood, which does not require an agent on guest OS.
This project provides you with a friendly web interface that allows you to upload suspicious files to be analyzed. Once the sandboxing job is finished, you can explore the analysis result through the mentioned interface and get an insight on whether the file is truly malicious or not.
Because it is usually pretty hard to set up a malware sandbox, this project also provides you with an installer app that would guide you through the necessary steps and configure your system using settings that are recommended for beginners. At the same time, experienced users can tweak some settings or even replace some infrastructure parts to better suit their needs.
Supported hardware & software
In order to run DRAKVUF Sandbox, your setup must fullfill all of the listed requirements.
Required Intel processor with Intel Virtualization Technology (VT-x) and Extended Page Tables (EPT) features
- Host system with at least 2 core CPU and 5 GB RAM, running GRUB as bootloader, one of:
Debian 10 Buster
Ubuntu 18.04 Bionic
Ubuntu 20.04 Focal
- Guest system, one of:
Windows 7 (x64)
Windows 10 build 2004 (x64)
Xen – works out of the box.
VMware Workstation Player – works, but you need to check Virtualize EPT option for a VM; Intel processor with EPT still required.
KVM – works, however it is considered experimental. If you experience any bugs, please report them to us for further investigation.
(x) AWS, GCP, Azure – due to lack of exposed CPU features, hosting DRAKVUF Sandbox in the cloud is not supported (although it might change in the future).
(x) Hyper-V – doesn’t work.
(x) VMWare Fusion (Mac) – doesn’t work.
Feel free to contact us if you have any questions or comments.
General contact email: [email protected] (fastest response)
This project is authored by:
- Arkadiusz Wróbel (@catsuryuu) – [email protected]
- Michał Leszczyński (@icedevml)
- Adam Kliś (@BonusPlay)
- Hubert Jasudowicz (@chivay)
- Konstanty Cieśliński (@kscieslinski)
This project was created and/or upgraded thanks to the following organizations and initiatives: