Binary analysis and reverse engineering framework


Our research explores algorithms to infer a HI-CFG from an instruction-level trace, without requiring source-level information or static analysis. Deviation Detection automatically identifies deviations in different binaries to detect implementation errors and generate fingerprints. To receive announcements about code releases and other bitblaze related updates, please subscribe to the Bitblaze Announcement List.

This is important, for example, for vulnerability analysis, as well as for analyzing a malware program that features different behaviors when run in different environments. Differential Slicing is an automatic slicing technique for the analysis of such execution differences. Identifying Causal Execution Differences for Security Applications A security analyst often needs to understand two runs of the same program that exhibit a difference in program state or output.

Installation instructions can be found here. To facilitate the automatic reverse engineering of such structure, we have introduced a new program representation, a hybrid information- and control-flow graph HI-CFG. Build your own tools through a high level language and communicate with the Pin API and Triton's components via Python bindings.

Dispatcher, Polygot and Replayer automatically extract information about network protocols and enables application dialogue replay using binary analysis. In particular, we show below three classes of security applications: Detection and Analysis of Malware Hooking Behaviors One important malware attacking vector is its hooking mechanism.

Identifying Causal Execution Differences for Security Applications A security analyst often needs to understand two runs of the binary analysis and reverse engineering framework program that exhibit a difference in program state or output. Installation instructions can be found here. The Pharos framework is made up of the following static binary analysis tools. The symbolic execution engine transforms the control flow and the data flow of the program into symbolic expressions. Programs that share significant numbers of functions are are likely to have behavior in common.

Spread Taint Taint binary analysis and reverse engineering framework is used to know at each program point what part of memory or register are controllable by the user input. The BitBlaze project aims to design and develop a powerful binary analysis platform and employ the platform in order to 1 analyze and develop novel COTS protection and diagnostic mechanisms and 2 analyze, understand, and develop defenses against malicious code. A specialization of the concept of channel capacity from information theory, we show that quantitative influence can be computed precisely using a decision procedure.

Buffer Overflow Diagnosis and Discovery Loop-extended symbolic execution or LESE is a new technique that generalizes the results of previous dynamic symbolic execution techniques, which broadens binary analysis and reverse engineering framework results with effects of loops. HookFinder proposes fine-grained impact analysis to automatically detect and analyze malware's hooking behaviors. This post is about the framework which supports reverse engineering of binaries with a focus on malicious code analysis. One of the most useful PyObjdigger features is its ability to annotate virtual function calls with clickable labels. Build your own tools through a high level language and communicate with the Pin API and Triton's components via Python bindings.