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Attack Planning in the Real World

1 Pith paper cite this work. Polarity classification is still indexing.

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abstract

Assessing network security is a complex and difficult task. Attack graphs have been proposed as a tool to help network administrators understand the potential weaknesses of their network. However, a problem has not yet been addressed by previous work on this subject; namely, how to actually execute and validate the attack paths resulting from the analysis of the attack graph. In this paper we present a complete PDDL representation of an attack model, and an implementation that integrates a planner into a penetration testing tool. This allows to automatically generate attack paths for penetration testing scenarios, and to validate these attacks by executing the corresponding actions -including exploits- against the real target network. We present an algorithm for transforming the information present in the penetration testing tool to the planning domain, and show how the scalability issues of attack graphs can be solved using current planners. We include an analysis of the performance of our solution, showing how our model scales to medium-sized networks and the number of actions available in current penetration testing tools.

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cs.CR 1

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2024 1

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representative citing papers

Automated Penetration Testing: Formalization and Realization

cs.CR · 2024-12-17 · conditional · novelty 6.0

ADAPT, a MAPE-K-based automated penetration testing tool, autonomously compromised Metasploitable2, Metasploitable3, and a realistic virtual lab network using pre-populated attack and scan repertoires.

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Showing 1 of 1 citing paper.

  • Automated Penetration Testing: Formalization and Realization cs.CR · 2024-12-17 · conditional · none · ref 23 · internal anchor

    ADAPT, a MAPE-K-based automated penetration testing tool, autonomously compromised Metasploitable2, Metasploitable3, and a realistic virtual lab network using pre-populated attack and scan repertoires.