Dirbusting is a technique used to brute force directories and file names on web servers while monitoring HTTP responses, in order to enumerate server contents. Such a technique uses lists of common words to discover the hidden structure of the target website. Dirbusting typically relies on response codes as discovery conditions to find new pages. It is widely used in web application penetration testing, an activity that allows companies to detect websites vulnerabilities. Dirbusting techniques are both time and resource consuming and innovative approaches have never been explored in this field. We hence propose an advanced technique to optimize the dirbusting process by leveraging Artificial Intelligence. More specifically, we use semantic clustering techniques in order to organize wordlist items in different groups according to their semantic meaning. The created clusters are used in an ad-hoc implemented next-word intelligent strategy. This paper demonstrates that the usage of clustering techniques outperforms the commonly used brute force methods. Performance is evaluated by testing eight different web applications. Results show a performance increase that is up to 50% for each of the conducted experiments.
The best way to train people about security is through Cyber Ranges, i.e., the virtual platform used by cybersecurity experts to learn new skills and attack vectors. In order to realize such virtual scenarios, container-based virtualization is commonly adopted, as it provides several benefits in terms of performance, resource usage, and portability. Unfortunately, the current generation of Cyber Ranges does not consider mobile devices, which nowadays are ubiquitous in our daily lives. Such devices do often represent the very first entry point for hackers into target networks. It is thus important to make available tools allowing to emulate mobile devices in a safe environment without incurring the risk of causing any damage in the real world. This work aims to propose Dockerized Android, i.e., a framework that addresses the problem of realizing vulnerable environments for mobile devices in the next generation of Cyber Ranges. We show the platform's design and implementation and show how it is possible to use the implemented features to realize complex virtual mobile kill-chains scenarios.
A cyber range is a realistic simulation of an organization's network infrastructure, commonly used for cyber security training purposes. It provides a safe environment to assess competencies in both offensive and defensive techniques. An important step during the realization of a cyber range is the generation of vulnerable machines. This step is challenging and requires a laborious manual configuration. Several works aim to reduce this overhead, but the current state-of-the-art focuses on generating network services without considering the effort required to build vulnerable environments for web applications. A cyber range should represent a real system, and nowadays, almost all the companies develop their company site by using WordPress, a common Content Management System (CMS), which is also one of the most critical attackers' entry points. The presented work proposes an approach to automatically create and configure vulnerable WordPress applications by using the information presented in public exploits. Our platform automatically extracts information from the most well-known publicly available exploit database in order to generate and configure vulnerable environments. The container-based virtualization is used to generate lightweight and easily deployable infrastructures. A final evaluation highlights promising results regarding the possibility of automating the generation of vulnerable environments through our approach.
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