In this post, I present my impressions of this book I recently read. Why Am I Reading It? To start, I think it’s important to give some context, as things cannot be interpreted absolutely. In the book’s preface, the authors state that the book is targeting a wide audience, from Read more…
Applying machine learning techniques to cyber security has become popular nowadays. The majority of existing work aim to produce results that achieve accuracy, f1 score and precision rates close to 100%, without taking into account problems such as adversarial samples. In our work, “Shallow Security: on the Creation of Adversarial Read more…
Marcus’ RevEngE against malware! This week SECRET arrived in Vienna to participate of the Reversing and Offensive-oriented Trends Symposium 2019 (ROOTS). Marcus discussed challenges and pitfalls of decompiling malicious samples and presented RevEnge, the Reverse Engineering Engine. RevEngE is a Proof-of-Concept (PoC) tool to the debug-oriented decompilation approached that we Read more…
Tamy Beppler, a SECRET researcher, has been presenting her research in the 2019 Information Security Conference. Tamy investigated the use of file textutres for malware families’ classification. Interested in taking a look on her results? Check this link.
Another SECRET course! Marcus Botacin presented how to reverse engineer Linux ELF binaries at SBSEG 2019. Check course materials on the github.
SBSEG promoted a tools exhibition event during the event. Marcus Botacin, representing SECRET, presented RevEngE, the Reverse Engineering Engine. RevEngE is a prototype of a malware decompilator aimed to assist analysts to debug malware executions. You can find all details on github.
Marcus Botacin, a SECRET member, present his research about malware variants identification in practice. The research was awarded by the program committee during the event. Check all details on github.
SBSEG proceeded with a great presentation of Fabricio Ceschin, a SECRET member, about the use of machine learning techniques for security purposes. Fabricio discussed common challenges and pitfalls when designing ML experiments. Check all details on github.
Last week was full of SECRETs. We have been participating of the XIX Brazilian Symposium of Information and Systems Security (SBSEG), where our members presented multiple research work. The event started with a presentation of Lucas Galante, talking about the use of machine learning for malware detection. This work discussed Read more…
Uma das missões do SECRET é responder ao investimento da sociedade através de estudos que possam impactar de forma concreta nas vidas das pessoas. Em nossa recente pesquisa, avaliamos a segurança dos apps bancários da plataforma Android, utilizados por milhões de brasileiros. Neste trabalho, apresentamos uma perspectiva histórica, cobrindo desde Read more…