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Binary rewriting without control flow recovery
- Source :
- PLDI
- Publication Year :
- 2020
- Publisher :
- ACM, 2020.
-
Abstract
- Static binary rewriting has many important applications in software security and systems, such as hardening, repair, patching, instrumentation, and debugging. While many different static binary rewriting tools have been proposed, most rely on recovering control flow information from the input binary. The recovery step is necessary since the rewriting process may move instructions, meaning that the set of jump targets in the rewritten binary needs to be adjusted accordingly. Since the static recovery of control flow information is a hard problem in general, most tools rely on a set of simplifying heuristics or assumptions, such as specific compilers, specific source languages, or binary file meta information. However, the reliance on assumptions or heuristics tends to scale poorly in practice, and most state-of-the-art static binary rewriting tools cannot handle very large/complex programs such as web browsers. In this paper we present E9Patch, a tool that can statically rewrite x86_64 binaries without any knowledge of control flow information. To do so, E9Patch develops a suite of binary rewriting methodologies---such as instruction punning, padding, and eviction---that can insert jumps to trampolines without the need to move other instructions. Since this preserves the set of jump targets, the need for control flow recovery and related heuristics is eliminated. As such, E9Patch is robust by design, and can scale to very large (>100MB) stripped binaries including the Google Chrome and FireFox web browsers. We also evaluate the effectiveness of E9Patch against realistic applications such as binary instrumentation, hardening and repair.
- Subjects :
- Programming language
Computer science
media_common.quotation_subject
Binary number
02 engineering and technology
computer.software_genre
Set (abstract data type)
Control flow
Debugging
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Rewriting
Instrumentation (computer programming)
Compiler
Heuristics
computer
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation
- Accession number :
- edsair.doi...........9d2403dc65c96382e88de3c51dd47d1b