Retdec

Features

Binary Decompilers - Translates binary machine code from multiple architectures into high-level C source code via an intermediate representation.
Machine Code Decompilers - Translates binary machine code from multiple architectures into high-level C source code using an LLVM-based pipeline.
Reverse Engineering Frameworks - Provides a comprehensive framework for recovering program logic, class hierarchies, and control-flow graphs from binaries.
Decompilers - Translates compiled binary machine code back into higher-level source code using LLVM infrastructure.
Intermediate Representation Lifting - Lifts machine code into a common intermediate representation to enable cross-architecture analysis and optimizations.
Retargetable Binary Frontends - Provides a retargetable architecture that decouples binary parsing from the decompilation engine to support multiple CPU instruction sets.
Static Binary Analysis - Analyzes compiled binaries without execution to detect compilers, identify packers, and extract structural metadata.
Binary Lifting - Implements a multi-stage pipeline to translate architecture-specific machine code into a portable intermediate representation.
Reverse Engineering Tools - Analyzes compiled machine code to recover high-level C source code and reconstruct program logic.
Control Flow Analysis Tools - Reconstructs logical execution paths and function boundaries through static analysis of binary branching structures.
Control-Flow Graph Generation - Generates call and control-flow graphs to visualize logical execution paths from binary code.
Packer Detection Tools - Detects the specific compilers used and identifies whether a binary was processed by a packer.
Executable Unpackers - Removes packing layers from executable files to reveal the original machine code for analysis.
Symbol Reference Mapping - Maps DWARF and PDB debugging symbols to lifted code to restore original variable and function names.
Program Logic Recovery - Recovers functions, types, and class hierarchies to restore the original structure of analyzed binary code.
Binary Metadata Inspection - Parses object file formats to extract and represent the structural composition of compiled binary images.
Binary Signature Matchers - Identifies compilers and packers by matching binary byte sequences against known structural signatures.
Debug Symbol Parsers - Extracts metadata and symbolic information from PDB and DWARF files to resolve binary structures.
Symbol Demanglers - Restores human-readable function and variable names from mangled identifiers generated by compilers.
Binary Signature Engines - Extracts binary patterns and library signatures to create identification rules for scanning compiled files.
Malware Analysis - Identifies packers and unpacks binaries to reveal hidden code for security-oriented reverse engineering.
Binary Metadata - Extracts structural metadata and function names from compiled binaries using DWARF and PDB formats.
Decompilation Tools - Retargetable machine-code decompiler based on LLVM.
Reverse Engineering Tools - Retargetable machine-code decompiler based on LLVM.

Open-source alternatives to Retdec

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avast-tl/retdec
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Retdec is an LLVM-based machine code decompiler and static binary analysis tool designed for binary reverse engineering. It translates binary executable code into high-level representations to facilitate the reconstruction of program logic from compiled machine code. The system utilizes a retargetable frontend architecture and a multi-stage lifting pipeline to convert raw bytes into a common intermediate language. It differentiates custom program logic from known library code through signature-based identification and provides utilities for binary symbol demangling to restore human-readable n
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horsicq/detect-it-easy
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albertan017/llm4decompile
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LLM4Decompile is a toolset and framework for binary-to-source code translation. It uses large language models to transform machine code into readable source code and recover the original logic of compiled executables. The project includes a specialized pipeline for generating synthetic training datasets by converting source code into assembly pairs. It provides a fine-tuning framework to optimize deep learning models on these binary-to-source datasets, increasing the accuracy of code recovery. The system also features capabilities for refining decompiled pseudo-code. This process focuses on
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See all 30 alternatives to Retdec

avastretdec

Features

Open-source alternatives to Retdec

avast-tl/retdec

angr/angr

horsicq/Detect-It-Easy

albertan017/LLM4Decompile

Star history

Open-source alternatives to Retdec

avast-tl/retdec

angr/angr

horsicq/Detect-It-Easy

albertan017/LLM4Decompile