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Towards Scalable Automated Vulnerability Scanning & Exploitation

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thesis
posted on 29.07.2020, 21:21 by Jarrett Booz
Offensive security assessments, where expert hackers attack a network to document vulnerabilities that can be exploited, are one way to approach network security.
These assessments provide useful insights but can often be time consuming and expensive. Automating offensive security assessments can decrease time and monetary
expenses. Current works on automating offensive security assessments focus on exploitation or post-exploitation actions, but not both. We present the Scalable Automated Vulnerability scanning & Exploitation Tool (SAVE-T) which is comprised of additions to an existing automated tool for offensive security assessments. The additions made here add support for various architectures, exploitation capabilities, service fingerprinting, and enhanced decision making conditions. SAVE-T allows an automated system to perform both exploitation and post-exploitation actions to provide more coverage and reliability for automated offensive security assessments in a scalable manner.
We demonstrate the tool on networks of increasing size containing Windows workstation operating systems from XP to Windows 10, Windows server operating systems
from Server '08 R2 to Server 2016, Ubuntu, and IoT devices such as Raspberry Pi and IP cameras.

History

Date

01/04/2020

Degree Type

Master's Thesis

Department

Information Networking Institute

Degree Name

  • Master of Science (MS)

Advisor(s)

Vyas Sekar

Exports