Using Reverse Engineering to Handle Malware

Introduction: This paper is a product of the research Project “Cyber Security Architecture for Incident Management” developed in the Colombian School of Engineering Julio Garavito in the year 2018. Objetive: Reverse engineering involves deconstructing and extracting knowledge about objects. The use...

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Autores:
Sánchez Venegas, Carlos Andrés
Aguado Bedoya, Camilo
Díaz López, Daniel Orlando
García Ruíz, Juan Carlos Camilo
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Escuela Colombiana de Ingeniería Julio Garavito
Repositorio:
Repositorio Institucional ECI
Idioma:
spa
OAI Identifier:
oai:repositorio.escuelaing.edu.co:001/1858
Acceso en línea:
https://repositorio.escuelaing.edu.co/handle/001/1858
Palabra clave:
Ingeniería inversa
Radar
Sandboxing
Reglas de Yara
Análisis de malware
Reverse engineering
Radare
Yara rules
Malware analysis
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-sa/4.0/
Description
Summary:Introduction: This paper is a product of the research Project “Cyber Security Architecture for Incident Management” developed in the Colombian School of Engineering Julio Garavito in the year 2018. Objetive: Reverse engineering involves deconstructing and extracting knowledge about objects. The use of reverse engineering in malware analysis is extremely useful in understanding the functionalities and purposes of a suspicious sample. Methods: This paper makes use of Radare which is one of the most popular open source tools for reverse engineering, with the aim of dealing with malware. Results: A use case related to hacking of anti-sandbox malware is presented, in such a way that it is possible to analyze the behavior of the sample using a sandbox. Additionally, another use case is presented, where an in-depth analysis of a malicious Android application aimed to the audience of a popular event (FIFA World Cup 2018) is developed, making it possible to demonstrate the relevance of reverse engineering techniques in end-user protection strategies. Conclusions: This paper shows how the results of a reverse engineering process can be integrated with Yara rules, allowing for the detection of malware on the fly, and it also shows an alternative to automatically generating Yara rules through the yarGen generator. Originality: Use of Open Source reversing solutions by Colombian Law Enforcement Agencies has not been discussed previously, making this paper a notable element toward the modernization of the Army. Limitation: Different approaches and perspectives about the limitations in the use of reverse engineering by Law Enforcement Agencies are also shared.