Steffen Enders, Eva-Maria C. Behner, Niklas Bergmann, Mariia Rybalka, Elmar Padilla (Fraunhofer FKIE, Germany), Er Xue Hui, Henry Low, Nicholas Sim (DSO National Laboratories, Singapore)

Analyzing third-party software such as malware is a crucial task for security analysts. Although various approaches for automatic analysis exist and are the subject of ongoing research, analysts often have to resort to manual static analysis to get a deep understanding of a given binary sample. Since the source code of provided samples is rarely available, analysts regularly employ decompilers for easier and faster comprehension than analyzing a binary’s disassembly.

In this paper, we introduce our decompilation approach dewolf. We describe a variety of improvements over the previous academic state-of-the-art decompiler and some novel algorithms to enhance readability and comprehension, focusing on manual analysis. To evaluate our approach and to obtain a better insight into the analysts’ needs, we conducted three user surveys. The results indicate that dewolf is suitable for malware comprehension and that its output quality noticeably exceeds Ghidra and Hex-Rays in certain aspects. Furthermore, our results imply that decompilers aiming at manual analysis should be highly configurable to respect individual user preferences. Additionally, future decompilers should not necessarily follow the unwritten rule to stick to the code-structure dictated by the assembly in order to produce readable output. In fact, the few cases where dewolf already cracks this rule leads to its results considerably exceeding other decompilers. We publish a prototype implementation of dewolf and all survey results [1], [2].

View More Papers

SURGEON: Performant, Flexible and Accurate Re-Hosting via Transplantation

Florian Hofhammer (EPFL), Marcel Busch (EPFL), Qinying Wang (EPFL and Zhejiang University), Manuel Egele (Boston University), Mathias Payer (EPFL)

Read More

GPS Spoofing Attack Detection on Intersection Movement Assist using...

Jun Ying (Purdue University), Yiheng Feng (Purdue University), Qi Alfred Chen (University of California, Irvine), Z. Morley Mao (University of Michigan)

Read More

DITTANY: Strength-Based Dynamic Information Flow Analysis Tool for x86...

Walid J. Ghandour, Clémentine Maurice (CNRS, CRIStAL)

Read More

Death By A Thousand COTS: Disrupting Satellite Communications using...

Frederick Rawlins, Richard Baker and Ivan Martinovic (University of Oxford) Presenter: Frederick Rawlins

Read More