Learn, hack!

URL

http://mirror.fem-net.de/CCC/27C3/mp3-audio-only/27c3-4160-en-automatic_identification_cryptographic_primitives.mp3

File name

27c3-4160-en-automatic_identification_cryptographic_primitives.mp3

File size

23.3 MB

MD5

7bb57a7058207c576b0e53a48f1c6d99

SHA1

181d8ba7b83c31d0b8a8fd6c03730611b9129516

In this talk I demonstrate our research and the implementation of methods to detect cryptographic algorithms and their parameters in software. Based on our observations on cryptographic code, I will point out several inherent characteristics to design signature-based and generic identification methods. Using dynamic binary instrumentation, we record instructions of a program during runtime and create a fine-grained trace. We implement a trace analysis tool, which also provides methods to reconstruct high-level information from a trace, for example control flow graphs or loops, to detect cryptographic algorithms and their parameters. With the results of this work, encrypted data, sent by a malicious program for example, may be decrypted and used by an analyst to gain further insight on the behavior of the analyzed binary executable. Applications include de-DRM'ing, security auditing, and malware C&C analysis. After the talk we will demonstrate the functionality with a ransomware which uses cryptographic primitives and release the implementation to the public.