rev.ng: a unified binary analysis framework to recover CFGs and function boundaries

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Abstract
Static binary analysis is a key tool to assess the security of third-party binaries and legacy programs. Most forms of binary analysis rely on the availability of two key pieces of information: the program's control-flow graph and function boundaries. However, current tools struggle to provide accurate and precise results, in particular when dealing with hand-written assembly functions and non-trivial control-flow transfer instructions, such as tail calls. In addition, most of the existing solutions are ad-hoc, rely on hand-coded heuristics, and are tied to a specific architecture. In this paper we highlight the challenges faced by an architecture agnostic static binary analysis framework to provide accurate information about a program's CFG and function boundaries without employing debugging information or symbols. We propose a set of analyses to address predicate instructions, noreturn functions, tail calls, and context-dependent CFG. rev.ng, our binary analysis framework based on QEMU and LLVM, handles all the 17 architectures supported by QEMU and produces a compilable LLVM IR. We implement our described analyses on top of LLVM IR. In an extensive evaluation, we test our tool on binaries compiled for MIPS, ARM, and x86-64 using GCC and clang and compare them to the industry's state of the art tool, IDA Pro, and two well-known academic tools, BAP/ByteWeight and angr. In all cases, the quality of the CFG and function boundaries produced by rev.ng is comparable to or improves over the alternatives.
Funding Information
  • National Science Foundation (CNS-1657711)
  • Horizon 2020 Framework Programme (671668)