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https://github.com/nforest/awesome-decompilation
A curated list of awesome decompilation resources and projects.
https://github.com/nforest/awesome-decompilation
List: awesome-decompilation
Last synced: about 2 months ago
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A curated list of awesome decompilation resources and projects.
- Host: GitHub
- URL: https://github.com/nforest/awesome-decompilation
- Owner: nforest
- Created: 2018-04-15T07:54:36.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2023-11-09T12:48:36.000Z (about 1 year ago)
- Last Synced: 2024-10-28T04:46:33.077Z (about 2 months ago)
- Size: 30.3 KB
- Stars: 594
- Watchers: 46
- Forks: 51
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - awesome-decompilation - A curated list of awesome decompilation resources and projects. (Other Lists / Monkey C Lists)
README
# awesome-decompilation
A curated list of awesome decompilation resources and projects.
-----------------------------------------
## Contents
* [General Overview](#general-overview)
* [Compilers](#compilers)
* [Program Analysis](#program-analysis)
* [Projects](#projects)
* [Decompilation Pipeline](#decompilation-pipeline)
+ [General](#general)
+ [Intermediate Representation](#intermediate-representation)
+ [Type Reconstruction](#type-reconstruction)
+ [Control-Flow Reconstruction](#control-flow-reconstruction)
+ [C++ Decompilation](#c-decompilation)
+ [Identifier Recovery](#identifier-recovery)
* [AI-based Decompilation](#ai-based-decompilation)
* [Advanced Topics](#advanced-topics)
+ [Search-Based Decompilation](#search-based-decompilation)
+ [Binary-Source Matching](#binary-source-matching)-----------------------------------------
## General Overview
* [Reverse Compilation Techniques](http://www.phatcode.net/res/228/files/decompilation_thesis.pdf)
* [Static Single Assignment for Decompilation](https://yurichev.com/mirrors/vanEmmerik_ssa.pdf)
* [Retargetable Analysis of Machine Code](https://dspace.vutbr.cz/bitstream/handle/11012/63279/482.pdf)
* [A Human-Centric Approach For Binary Code Decompilation](https://bonndoc.ulb.uni-bonn.de/xmlui/handle/20.500.11811/7517)
## Compilers
* [Compilers: Principles, Techniques, and Tools](https://www.amazon.com/dp/0321486811)
* [Advanced Compiler Design and Implementation](https://www.amazon.com/dp/1558603204)
## Program Analysis
* [Principles of Program Analysis](http://www.imm.dtu.dk/~hrni/PPA/ppa.html)
* [Data Flow Analysis: Theory and Practice](https://www.crcpress.com/Data-Flow-Analysis-Theory-and-Practice/Khedker-Sanyal-Sathe/p/book/9780849328800)
## Projects
* [Hex-Rays](https://www.hex-rays.com/products/decompiler/)
* [Ghidra](https://github.com/NationalSecurityAgency/ghidra/tree/master/Ghidra/Features/Decompiler)
* [JEB](https://www.pnfsoftware.com/)
* [retdec](https://retdec.com/)
* [rev.ng-c](https://rev.ng/revngc-features.html)
* [jsdec](https://github.com/rizinorg/jsdec)
## Decompilation Pipeline
### General
* [Decompilers and beyond](https://www.hex-rays.com/products/ida/support/ppt/decompilers_and_beyond_white_paper.pdf)
* [decomp](https://github.com/decomp/decomp)
### Intermediate Representation
* [LLVM](https://llvm.org/docs/LangRef.html)
* [VEX](https://github.com/angr/vex/blob/master/pub/libvex_ir.h)
* [Hex-Rays microcode](http://hex-rays.com/products/ida/support/ppt/recon2018.ppt)
* [BAP](https://github.com/BinaryAnalysisPlatform/bap)
* [REIL](https://github.com/Cr4sh/openreil)
* [ESIL](https://radare.gitbooks.io/radare2book/content/disassembling/esil.html)
* [LLIL](https://docs.binary.ninja/dev/bnil-llil/index.html)
* [VTIL](https://github.com/vtil-project)### Type Reconstruction
* [DIVINE: DIscovering Variables IN Executables](https://research.cs.wisc.edu/wpis/papers/vmcai07.invited.pdf)
* [Improved Memory-Access Analysis for x86 Executables](http://research.cs.wisc.edu/wpis/papers/cc04.pdf)
* [TIE: Principled Reverse Engineering of Types in Binary Programs](https://users.ece.cmu.edu/~aavgerin/papers/tie-ndss-2011.pdf)* [Polymorphic Type Inference for Machine Code](https://arxiv.org/abs/1603.05495)
### Control-Flow Reconstruction
* [No More Gotos: Decompilation Using Pattern-Independent Control-Flow Structuring and Semantics-Preserving Transformations](http://www.ndss-symposium.org/ndss2015/ndss-2015-programme/no-more-gotos-decompilation-using-pattern-independent-control-flow-structuring-and-semantics/)
* [Helping Johnny to Analyze Malware](https://www.computer.org/csdl/proceedings/sp/2016/0824/00/0824a158.pdf)
* [A Comb for Decompiled C Code](https://dl.acm.org/doi/10.1145/3320269.3384766)
### C++ Decompilation
* [SmartDec: Approaching C++ Decompilation](https://www.computer.org/csdl/proceedings/wcre/2011/1948/00/06079860.pdf)
### Identifier Recovery
* [Meaningful Variable Names for Decompiled Code: A Machine Translation Approach](https://cmustrudel.github.io/papers/icpc18decompilation.pdf)
* [Debin: Predicting Debug Information in Stripped Binaries](https://files.sri.inf.ethz.ch/website/papers/ccs18-debin.pdf)
* [DIRE: Decompiled Identifier Renaming Engine](https://github.com/CMUSTRUDEL/DIRE)
## AI-based Decompilation
* [Using Recurrent Neural Networks for Decompilation](http://www.cs.unm.edu/~eschulte/data/katz-saner-2018-preprint.pdf)
* [Towards Neural Decompilation (2019)](https://arxiv.org/pdf/1905.08325.pdf)
* [Coda: An End-to-End Neural Program Decompiler](https://proceedings.neurips.cc/paper/2019/file/093b60fd0557804c8ba0cbf1453da22f-Paper.pdf)* [N-Bref: a neural-based decompiler framework](https://github.com/facebookresearch/nbref)
* [Neutron: an attention-based neural decompiler](https://link.springer.com/content/pdf/10.1186/s42400-021-00070-0.pdf)
* [Beyond the C: Retargetable Decompilation using Neural Machine Translation](https://arxiv.org/abs/2212.08950)
## Advanced Topics
### Search-Based Decompilation
* [Evolving Exact Decompilation](https://www.cs.unm.edu/~eschulte/data/bed.pdf)
### Binary-Source Matching
* [BinPro: A Tool for Binary Source Code Provenance](https://arxiv.org/pdf/1711.00830)
* [Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection](https://arxiv.org/abs/1708.06525)
* [CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code Matching](https://keenlab.tencent.com/zh/whitepapers/neurips-2020-cameraready.pdf)