Arachni is licensed under the Arachni Public Source License v1.0, requiring a non-free license for cases of commercialization. Please review the license before downloading.
The OWASP Zed Attack Proxy (ZAP) is one of the world’s most popular free security tools and is actively maintained by a dedicated international team of volunteers.
- Download the GeForce NOW Cloud Gaming Service. Most Window PCs, Mac Computers, and Android Devices are Supported.
- Zap 2.6 for Mac can be downloaded from our website for free. This Mac application is an intellectual property of com.xenquinsw. Our antivirus check shows that this Mac download is malware free. The application lies within Games, more precisely Strategy.
- A C14 OpenGL 3.3+ engine for Mac, Windows, or Linux using either GLFW or Qt.
Current version: v1.5.1-0.5.12
Changelogs: Framework – WebUI
Linux
You can download self-contained packages for Linux for the following architectures:
- Linux x86 32bit (SHA512)
- Linux x86 64bit (SHA512)
Attention: The packages need GLIBC >= 2.12, if you get a GLIBC error please update your system.
Mac OS X
Mac OS X users can download the self-contained Mac OS X x86 64bit (SHA512) package.
Attention: If you get a segmentation fault please make sure that you’re using OS X >= 10.9.
MS Windows
MS Windows users can download the self-contained MS Windows x86 64bit (SHA512) package.
(The executable will automatically extract Arachni in the current directory, please download using Save as… instead of running directly from the browser.)
Attention: For best experience please prefer Linux or Mac OS X.
Zap Master Download For Mac Windows 10
Recommended system requirements
- Operating systems: Linux (32bit or 64bit), Mac OS X (64bit), Windows (64bit)
- RAM: 2GB of available memory.
- Storage: 10GB of available disk space.
- Optional: PostgreSQL server for the WebUI — by default SQLite3 is used (included in the packages).
- PostgreSQL is preferred when dealing with larger workloads, for configuration instructions please see the WebUI Wiki.
Prior to running scans, it is recommended that you consult the scan optimization guide, as there are several options you can use to significantly increase performance and/or limit resource utilization.
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If you are operating under a resource constrained environment, experimenting with the aforementioned options could allow you to reliably run Arachni under those conditions.