llvm-dec takes in an object file and produces IR. $ ./bin/llvm-dec ./a.out Dynamic Binary Translation: DYN (OS X-only) DYN is an OS X-only dylib that is intended to be preloaded so that it can hijack program execution: $ echo "int main() { return 42; }" | clang -x c -...
这样后面的分析就可以建立在通用的IR上,不依赖具体架构。在LLVM IR上,作者进行了控制流图恢复和函数边界识别这两个关键分析。 为提高控制流图准确性,作者提出了: (1)增强reaching definition分析:考虑load/store指令之间的多种定义,以及路径敏感的合并,可以更准确地知道哪些定义可达到某个load。 (2)predicate指令...
Compile Binary Ninja's MLIL to LLVM, for purposes of analysis, patching, and compiling it back to a binary again. binaryninjallvm-irbinjallvmlite UpdatedJun 3, 2022 Python IDA, Ghidra and Radare2 scripts. Also Android scripts to make your life easier. ...
In this paper, we designed and implemented a new portable SBT tool, called LLBT, which translates source binary into LLVM IR and then retargets the LLVM IR to various ISAs by using the LLVM compiler infrastructure. Using the LLVM compiler infrastructure, LLBT successfully leverages two important...
In this paper, we describe BinOpt, a novel and robust library for performing application-driven binary optimization and specialization using LLVM. A machine code function is lifted directly to LLVM-IR, optimized in LLVM while making use of application-specified information, used to generate a new...
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LLVM IR对控制流结构的限制很少,可以表示任何GPU都无法运行的程序。WebAssembly按设计只提供结构化的控制流,确保程序始终可以被翻译为在GPU上运行[54]。直接将高级语言编译为使用GPU运行的其他方法需要大量的工程努力,并且可能会遇到兼容性问题[37]。 我们的系统设计包含了许多新颖的贡献,我们利用这些贡献来弥合第2节中...
BOLT can also be used for binary advanced disassembly, low-level program instrumentation, and static analysis on binaries. BOLT makes use of several LLVM libraries but has been developed out-of-tree. In addition to hoping to upstream BOLT as an LLVM sub-project, the developers involved are als...
Then, the second part will include demonstrations on how it's possible to reverse virtual machine based protections using taint analysis, symbolic execution, SMT simplifications and LLVM-IR optimizations. Dynamic Binary Analysis and Obfuscated Codes Talk at: St'Hack, Bordeaux, France, 2016. [slide]...
We present a new approach to matching semantically similar functions in closed-source software: we learn binary function feature representations from pseudo-code using deep learning. Pseudo-code is more abstract than intermediate representation (IR) and assembly code, which is similar to source code ...