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A Methodology to Find Artifacts of the Hacker in Man-in-the-Browser Attack

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Advances in Decision Sciences, Image Processing, Security and Computer Vision (ICETE 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 3))

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Abstract

Man-in-the-browser attack is an evolved version of man-in-the-middle attack which mainly targets the internet banking. These attacks fall under the category of session hijacking, so, it is difficult to detect and stop the malicious actions as they are performed using legitimate session. Computer forensics plays a prominent role in finding the traces left behind by the hacker while compromising a computer. These traces will explain how the attack was carried out, which could serve as an evidence in the court proceedings.

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References

  1. RSA White Paper, Making sense of man-in-the-browser attacks: threat analysis and mitigation for financial institutions. http://viewer.media.bitpipe.com/1039183786_34/1295277188_16/MITB_WP_0510-RSA.pdf

  2. Dougan T, Curran K (2012) Man in the browser attacks. Int J Ambient Comput Intell 4(1):29–39. https://doi.org/10.4018/jaci.2012010103

  3. Analysis of man-in-the-browser attack by SANS. https://www.sans.org/readingroom/whitepapers/forensics/paper/35687

  4. OWASP article about man-in-the-browser attack. https://www.owasp.org/index.php/Man-in-the-browser_attack

  5. ISACA article about man-in-the-browser attack. https://www.isaca.org/Journal/archives/2013/Volume-4/Pages/Man-in-the-Browser-A-Threat-to-Online-Banking.aspx

  6. Grande CL, Guadrón RS (2016) Computer forensics. In: 2016 IEEE 36th central American and Panama convention (CONCAPAN XXXVI), pp 1–6. San Jose. https://doi.org/10.1109/concapan.2016.7942361

  7. Zeus malware source code. https://github.com/m0n0ph1/malware-1/tree/master/Zeus

  8. Cuckoo sandbox documentation. https://cuckoo.sh/docs/

  9. Carrier B (2005) File system forensic analysis. https://www.oreilly.com/library/view/file-system-forensic/0321268172/

  10. Carvey H (2011) Windows registry forensics: advanced digital forensic analysis of the windows registry. Syngress Publishing. https://dl.acm.org/citation.cfm?id=1996274

  11. Ligh M, Adair S, Hartstein B, Richard M (2010) Malware analyst’s cookbook and DVD: tools and techniques for fighting malicious code. https://www.wiley.com/en-us/Malware+Analyst%27s+Cookbook+and+DVD%3A+Tools+and+Techniques+for+Fighting+Malicious+Code-p-9780470613030

  12. Volatility documentation. https://github.com/volatilityfoundation/volatility/wiki

  13. Ligh MH, Case A, Levy J, Walters A (2014) The art of memory forensics: detecting malware and threats in windows, linux, and mac memory. https://www.wiley.com/en-us/The+Art+of+Memory+Forensics%3A+Detecting+Malware+and+Threats+in+Windows%2C+Linux%2C+and+Mac+Memory-p-9781118825099

  14. Casey E (2011) Digital evidence and computer crime: forensic science, computers, and the internet. https://dl.acm.org/citation.cfm?id=2021194

  15. Casey E (2009) Handbook of digital forensics and investigation. https://dl.acm.org/citation.cfm?id=1822831

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Correspondence to Vishal Adada .

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Kondeti, S.D., Adada, V., Sridevi, R. (2020). A Methodology to Find Artifacts of the Hacker in Man-in-the-Browser Attack. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-24322-7_34

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