Virtual machines are often considered more secure than regular machines due to the abstraction from the hardware layer. Abstraction does provide some extra security benefits, but many vulnerabilities that exist on a regular machine still exist on virtual machines. Moreover, the sheer amount of virtual machines that are running on many systems makes it difficult to analyse potential vulnerabilities. Vagrant is a management tool for virtual machines packaged in what is called boxes. There are currently no way to automatically scan these Vagrant boxes for vulnerabilities or insecure configurations to determine whether or not they are secure. Therefore we want to establish a method to detect the vulnerabilities of these boxes automatically without launching the box or executing code. There are two main parts in the method used to investigate the boxes. First there is the base box scanning. A base box is an image of which the final box is built upon. This base box is launched, a list of packages is extracted, and the information is then sent to a vulnerability scanner. There is also the analysis of the Vagrantfile. The Vagrantfile is the file that is used to ready the base box with needed software and configurations. The configuration file is written in Ruby and in order to extract information from this file a static code analysis is performed. The result for each box scanned is a list of all the vulnerabilities present on the base box as well as security configurations like SSH settings and shared folders that is retrieved from the Vagrantfile. The results are not completely accurate because the base box is used for the scan, rather than the box itself. Some of the configurations in the Vagrantfiles could not be retrieved because it required code execution or support for configurations done in by other means, like bash. The method does however provide a good indication of how many vulnerabilities a given box possesses.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-14797 |
| Date | January 2017 |
| Creators | Holmqvist, Andreas, Lycke, Fredrik |
| Publisher | Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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