Moth: a hybrid threat model for improving software security testing
As SQL injection attack (SQLIA) continues to threaten web applications despite several techniques recommended to prevent it, a Hybrid Threat Modeling strategy was adopted in this research due to its proactive approach to risk mitigation in web applications. This involved the combination of 3 thre...
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| Format: | Thesis |
| Language: | English English English |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/185/1/24p%20HABEEB%20OLADAPO%20OMOTUNDE.pdf http://eprints.uthm.edu.my/185/2/HABEEB%20OLADAPO%20OMOTUNDE%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/185/3/HABEEB%20OLADAPO%20OMOTUNDE%20WATERMARK.pdf |
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| Summary: | As SQL injection attack (SQLIA) continues to threaten web applications despite
several techniques recommended to prevent it, a Hybrid Threat Modeling strategy
was adopted in this research due to its proactive approach to risk mitigation in web
applications. This involved the combination of 3 threat modeling techniques namely
misuse cases, attack trees and finite state machines in order to harness their individual
strengths to design a Hybrid Threat Modeling framework and tool called MOTH
(Modeling Threats using Hybrid techniques). Using the MOTH tool developed using
Eclipse rich client platform, experimental results with an e-commerce web application
downloaded from GitHub namely BodgeIt store shows an improved SQL injection
vulnerability detection rate of 13.33% in comparison to a commercial tool, IBM
AppScan. Further benchmarking of MOTH with respect to SQL injection vulnerability
detection in both BodgeIT store and IBM’s Altoro Mutual online banking application
shows it is 30.6% more effective over AppScan. Relative to other threat modeling
tools, MOTH was able to realize a 41.7% optimization of attack paths required to
design effective test plans and test cases for the recommendation of efficient security
requirements needed to prevent SQL injection attacks. A 100% risk mitigation
was achieved after applying these recommendations due to a complete security test
coverage of all test cases during the experiment as all test cases successfully exposed
the inherent security mutants in the AUT. These results show that MOTH is a more
suitable hybrid threat modeling tool for preventing poor specifications that expose web
applications to SQL injection attacks. |
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