Thursday 3 October 09:30 - 10:00, Red room
Takahiro Haruyama (Carbon Black)
Compiler-level obfuscations like opaque predicates and control flow flattening are starting to be observed in the wild and will be a challenge for malware analysts and researchers. Opaque predicates and control flow flattening are obfuscation methods used to limit malware analysis by defining unused logic, performing needless calculations, and altering code flow so that it is not linear. Manual analysis of malware utilizing these obfuscations is painful and time-consuming.
ANEL (also referred to as UpperCut) is a RAT used by APT10, typically targeting Japan. All recent ANEL samples are obfuscated with opaque predicates and control flow flattening. In this presentation I will explain how to automatically de-obfuscate the ANEL code by modifying the existing IDA Pro plug-in HexRaysDeob.
Specifically, the following topics will be included:
The modified tool is available publicly and this implementation has been found to de-obfuscate approximately 89% of encountered functions in the tested samples. This provides researchers with an approach to attack those obfuscations which could be adopted in additional families. Additional testing and code improvement for this tool will be added prior to the talk. Sharing the experience and knowledge of the implementation with the community will be valuable as threat actors other than APT10 may also start to use the same obfuscations.
Takahiro Haruyama is a senior threat researcher with Carbon Black's Threat Analysis Unit, with over ten years of extensive experience and knowledge in digital forensics and malware analysis. He previously worked on reverse-engineering cyber espionage malware with Symantec's threat intelligence team. He has spoken at or taught hands-on classes at several famous conferences including Black Hat Briefings USA/Europe/Asia, SANS DFIR Summit, DFRWS EU, FIRST, CEIC, SECURE and HITCON.
Reserve speaker (TBA)
Juan Andres Guerrero-Saade (Chronicle)
Vyacheslav Zakorzhevsky (Kaspersky)
Rachel G. (National Network to End Domestic Violence)