Reverse Engineer Anything AI Automates Binary Decompilation

Security researchers and open-source software contributors unveiled the Reverse Engineer Anything Project (REAP), an open-source framework that deploys coordinated multi-agent artificial intelligence pipelines to automate binary analysis and assembly decompilation. As reported by InfoQ, the system bridges open-source disassemblers like Ghidra and radare2 with specialized reasoning language models to reconstruct high-level source code from stripped executables.

Reverse engineering compiled machine code has traditionally stood as one of cybersecurity's most labor-intensive disciplines, demanding deep expertise in assembly semantics, calling conventions, and memory layouts. By orchestrating specialized autonomous agents that handle disassembly verification, symbol reconstruction, and control-flow recovery, REAP reduces the time required to analyze opaque binary blobs from weeks to minutes.

The mechanics of multi-agent binary decompilation

The architecture of the Reverse Engineer Anything Project departs from naive single-prompt decompilation approaches, which routinely hallucinate logic when confronted with thousands of lines of raw assembly instructions. Instead, REAP organizes analysis into an assembly pipeline managed by four distinct autonomous agents.

The first agent, the Disassembly Inspector, ingests target binaries, parses PE/ELF headers, and identifies compiler flags, optimization levels, and runtime library signatures. The second agent, the Control Flow Deobfuscator, reconstructs abstract syntax trees and unwinds control-flow flattening or opaque predicates introduced by software protectors before passing normalized intermediate representations downstream.

Integrating Ghidra and IDA Pro disassemblers with LLMs

A core strength of the project is its native integration with established reverse engineering suites. REAP provides bidirectional RPC bridge plugins for Ghidra, IDA Pro, and Binary Ninja, allowing the AI agents to execute programmatic script hooks, inspect cross-references, and query function call graphs directly within the disassembler's workspace.

When the framework processes a complex function, the Semantic Reconstruction Agent analyzes Ghidra's decompiler output alongside raw assembly opcodes. It generates idiomatic, well-commented C or Rust representations, proposing descriptive variable names, inferring custom struct definitions, and mapping standard library calls that lost their debug symbols during compilation.

Semantic function recovery and symbol reconstruction

In benchmark evaluations against heavily stripped C++ binaries, REAP successfully reconstructed over 84 percent of original function signatures and inferred accurate struct field offsets with 91 percent precision. The framework accurately distinguished between standard virtual method tables, callback function pointers, and nested class hierarchies.

The fourth agent in the pipeline, the Vulnerability Auditor, analyzes the reconstructed high-level source code for memory corruption bugs, integer overflows, and logic vulnerabilities. By pairing semantic decompilation with automated static analysis rules, the framework flags vulnerable code patterns and generates functional fuzzing harnesses to verify exploitability.

Automated vulnerability discovery and triage benchmarks

During demonstration runs against legacy open-source utilities and firmware images, the automated framework identified three previously undisclosed memory corruption vulnerabilities in outdated IoT network services. The system generated detailed vulnerability reports complete with reproduction steps, call stack traces, and recommended source-level patches.

Security analysts participating in initial beta trials reported that the multi-agent framework eliminated up to 70 percent of manual triage time during malware reverse engineering. Analysts could instantly grasp the high-level intent of obfuscated droppers and ransomware binaries without manually dissecting thousands of assembly blocks.

Ethical and defensive implications for security teams

The democratization of autonomous binary reverse engineering raises significant considerations for defensive and offensive cybersecurity teams alike. While defenders can harness REAP to audit legacy software without source code and accelerate patch verification, threat actors can leverage identical tools to rapidly discover zero-day vulnerabilities in commercial software binaries.

The project maintainers emphasize that the framework is released under the Apache 2.0 license to empower defenders, independent vulnerability researchers, and academic institutions. As compiled binary analysis becomes increasingly automated, organizations must strengthen code obfuscation, adopt memory-safe programming languages, and implement robust runtime defenses against automated exploitation.

<div class="tb-sources mt-8 pt-6 border-t border-gray-200 text-sm text-gray-600"> <strong>Sources & Attribution:</strong> <ul class="list-disc pl-5 mt-2 space-y-1"> <li><a href="https://www.infoq.com/news/2026/10/reverse-engineer-anything-ai-agents/" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:underline">InfoQ Reporting and Documentation</a></li> <li>Technical advisories and benchmark telemetry verified via official vendor channels.</li> </ul> </div>