8e2853dd7b fix(ghidra): prevent loader relocations from constant folding (#10483)
* fix(ghidra): prevent loader relocations from constant folding

Ghidra imports loader relocation destinations with their file bytes. A
destination in a non-writable loaded block can be populated by the
runtime loader instead, for example a copy-relocated musl `stderr` in
RELRO, so the decompiler folded the on-disk zero and showed
`fprintf(NULL, ...)`.

Before initializing the decompiler, mark each loaded, initialized,
non-writable block containing a relocation destination volatile in the
ephemeral database, and add a limitation to procedures that read such a
destination. ELF shared objects and PIEs are included; relocatable
objects and core files are not. Permissions and source FileBytes are
unchanged.

Sessions without database-mutation authority (Windows P0 and existing
caller projects) record the limitation but do not mark blocks volatile,
and the analysis profile versions the two behaviors separately.

A real Linux Ghidra ELF probe runs in the Ghidra bridge CI lane.

Fixes #4177

Squashed from #4198 and rebased onto main. Rebase adaptations: the
read-only gate, the verifier renamed to verify-ghidra-loader-relocation
so it stays out of the manual-verifier glob, docs moved to
docs/testing-lanes.md and docs/providers/ghidra-provider.md.

Co-Authored-By: gensokyo-dev <gensokyo-dev@users.noreply.github.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* fix(ghidra): await installation inspection in the relocation verifier

inspectGhidraInstallation became async on main after #4198's base, so the
verifier asserted on a pending Promise. Also wait for provider output to
close before reading it, like the sibling Ghidra verifiers, and keep the
workflow reference inside the docs site.

Co-Authored-By: gensokyo-dev <gensokyo-dev@users.noreply.github.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* fix(ghidra): address relocation review findings

- Version the existing-project analysis profile with the read-only
  relocation semantics, since those sessions now add the limitation.
- Inspect the installation through the verifier helper that owns the
  file-reader resources.
- Build the fixture with -fPIC: with -fPIE, GCC 12 emits a copy
  relocation of rea_external_value into writable .bss, so the probe's
  GOT check could not hold.
- Run probe cleanup through withVerifierCleanup so a cleanup failure
  does not hide the probe failure, and keep the workspace when owned
  Ghidra cleanup is incomplete.
- Link the workflow with a full GitHub URL, per the docs guide.

Co-Authored-By: gensokyo-dev <gensokyo-dev@users.noreply.github.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* test(ghidra): reach the external data through the GOT with a weak extern

Building the whole fixture with -fPIC also turned the reader's direct
load of rea_loader_pointer into a GOT-relaxed lea plus two loads, and
the real-Ghidra lane then reported that the baseline no longer folds
the file constant. Keep -fPIE and declare only rea_external_value weak:
GCC and clang must reach a possibly absent symbol through a GOT entry,
which lands as R_X86_64_GLOB_DAT inside GNU_RELRO (checked with readelf
for GCC 12.2 and clang/lld).

Co-Authored-By: gensokyo-dev <gensokyo-dev@users.noreply.github.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* fix(ghidra): protect only relocations Ghidra could not apply

Running the real-Ghidra lane locally (Ghidra 12.1.4, JDK 21, GCC 12)
showed that marking every non-writable block that holds a relocation
volatile also marks full-RELRO .got. External calls then decompile as
opaque pointer calls (`(*pcVar2)(param_1)` through
`PTR_rea_external_...` instead of `rea_external(param_1)`), which the
probe's GOT-stability check caught.

Ghidra applies GLOB_DAT and RELATIVE relocations, so those bytes already
hold the loader's value and folding them is correct. The #4177 case is
a copy relocation, which Ghidra imports as UNSUPPORTED with the file's
zero in place. Protect only destinations whose relocation status is not
APPLIED or APPLIED_OTHER.

The fixture now reads a provider `const` object that the linker copies
into .data.rel.ro, the #4177 shape. The probe requires that relocation
to be unapplied and requires applied GOT relocations to stay
non-volatile. Ghidra 12.1.4 already shows this x86-64 read by name
without protection, so the probe records whether the baseline folds and
compares before and after only when it does. The profile value becomes
volatile-unapplied-relocation-blocks-v1.

Co-Authored-By: gensokyo-dev <gensokyo-dev@users.noreply.github.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

---------

Co-authored-by: Arslan Basharat <arslanbasharat414@gmail.com>
Co-authored-by: gensokyo-dev <gensokyo-dev@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
2026-11-14 09:32:48 +01:00

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REA: Reverse Engineer Anything

One MCP for reverse engineering across binaries, applications, and runtime behavior.

See a feature you like. Understand how it works, down to the binary level.

npm version MCP tool catalog Node.js requirements skills.sh MIT license Discord

morluto%2Frea | Trendshift

Website · Guides · Showcases

Join the REA community on Discord

Quick start · How REA works · What you can analyze · Showcases · Build RL environments · FAQ · Documentation

npx rea-agents setup

Important

Get REA from morluto/rea, rea.tools, or the rea-agents npm package. Follow the installation and release links from these official sources. A similar repository name or copied README does not establish that a download is official.


REA launching its analysis bridge inside Hopper while inspecting a native binary



Discord
Join the Reverse Engineering Community

Discord · Q&A · Show and Tell


See a feature in an app that you want in your own product? Ask your agent to investigate it with REA. It can inspect the app without its source code, explain how the feature works, show the evidence, and build a version for your project.

REA connects your agent to tools for inspecting native binaries, JavaScript and Electron apps, .NET assemblies, and websites. You can also use the same tools from your terminal. Analysis runs locally, and results include the evidence and limitations behind each conclusion.

Setup registers REA with your agent and installs matching workflow instructions. Native analysis can use an existing Hopper, Ghidra, IDA or Kuna installation; setup can optionally install Hopper with approval. Static JavaScript analysis needs no native analysis engine.

Visit the REA website for setup instructions, illustrated guides, and real case studies.

Quick start

On Linux, Ghidra, JADX, firmware tool launches and static JavaScript/Electron analysis require a procps-compatible ps on REA's PATH for process ownership checks. Recovery steps are in docs/getting-started/installation.md under "Linux owned-process prerequisite".

Set up your agent

With Node.js and npm installed, run:

npx rea-agents setup

Choose your agents, review the proposed changes, and approve them. Setup adds REA's MCP server and matching workflow instructions, with backups of existing configuration. Restart your agent afterward. Setup records the selected runtime and REA entry script directly. If acquired through a package runner, keep its cache entry available. Run package acquisition from a trusted directory outside the target project. Installation and recovery details are in the setup guide below.

Setup supports Claude Code, Codex, Cursor, Gemini CLI, Grok Build and other agents. See installation and setup for provider configuration, manual MCP registration, Claude Code/Codex plugins, and the Cursor Marketplace plugin.

MCP uses compact input schemas by default to reduce context overhead. Set REA_MCP_INPUT_SCHEMA_PROFILE=full in your MCP registration when you need the complete advertised field guidance and nested validation details. Both profiles keep the full tool set and canonical server validation. See "Compact input schema profile" in the MCP contracts guide.

Complete output schemas are advertised by default. If your client caps the complete tools/list frame, set REA_MCP_OUTPUT_SCHEMA_PROFILE=compact to bound each advertised output schema, or off to omit output schemas entirely. Both settings keep canonical server-side validation and complete structured results. See "Output schemas" in the MCP contracts guide.

Ask your agent

Understand how search works in the Notes app, show me the evidence, and build a
similar feature for my project.

Replace Notes with your target app and the feature you want to understand.

Use the terminal

Inspect an extracted JavaScript/Electron app directory or ASAR:

npx -y rea-agents@latest analyze-javascript-application /absolute/path/to/app --json

The result includes modules, imports, Electron boundaries and their evidence. Replace the path with your target, such as "D:/apps/example" on Windows.

To install the rea command for regular use:

npm install --global rea-agents
rea --help

For native analysis, configure a provider first. See the CLI and Evidence guide for native commands, provider selection, snapshots and scripting.

Update REA

REA changes quickly, and new releases include frequent bug fixes. Keep your installation up to date.

For a CLI installed with npm install --global or bun add --global:

rea update

rea --update is an alias for this verified workflow and accepts the same global output flags. Use rea update when combining it with other command controls.

Updater commands retain at most 4 MiB of stdout and stderr combined. Oversized metadata replies are rejected after the command exits; verbose installs continue with bounded diagnostics. Human progress output respects terminal backpressure and waits for submitted writes to finish.

Bun global updates require Bun 1.2.17 or later. With an older Bun release, upgrade Bun manually before running rea update.

To refresh your agent registrations and skill, run the setup command printed by the update.

If you use npx, update your agent setup with:

npx rea-agents@latest setup

Review the setup changes and restart your agent. For one-off CLI commands, use npx rea-agents@latest followed by the command. With Bun, use bunx rea-agents@latest in place of npx rea-agents@latest.

How REA works

Your agent calls REA through MCP to inspect the target and trace relevant code. REA returns findings with their evidence. The agent uses them to ask follow-up questions, explain the behavior, or write and test an implementation. CLI commands use the same workflows.

REA investigation flow: your agent asks about a local target, REA inspects and traces it using analysis tools, and the agent uses the returned code, references and unknowns to explain, implement and test.

Open the full-size figure.

What you can analyze

REA requires Node.js 22.x (>=22.23.4), 24.x (>=24.22.1), or 26.12.1+, plus npm. Additional tools and host support depend on the target:

Target What REA returns Requirements and guide
Desktop installations Runtime candidates, supporting files, component markers and next probes Built-in bounded directory/header inspection; desktop applications
Native binaries Pseudocode, assembly, strings, symbols, calls and references Hopper, Ghidra, IDA or Kuna; native analysis
Offline ELF layout Sections, segments, original symbols/relocations and static mitigation candidates Caller-supplied pwntools on Linux x64; binary diagnostics
Go binaries Embedded compiler version, modules, replacements and build settings Built-in static ELF/PE/thin Mach-O inspection; no Go installation required
GPU code objects CUDA/HIP targets, selected kernel parameters and resources, retained PTX text Built-in static ELF/PE/fatbin/CUBIN/PTX inspection; GPU code objects
Model artifacts GGUF / safetensors metadata, tensor declarations and derived totals Built-in header inspection; optional full-file hash; model files
IL2CPP metadata Unity global-metadata.dat assembly images, type and method names and index ranges Built-in static decoding of versions 24, 27, 29, 31 and 39; no Unity required
Godot PCK Archive inventory and extraction, original header/directory facts and selected content identities Built-in static formats 2, 3 and 4; no Godot required
Rust binaries Embedded cargo-auditable crate names, versions, sources and dependency edges Built-in static ELF/PE/thin Mach-O inspection; Rust binaries
PE certificates Authenticode WIN_CERTIFICATE entries and PKCS#7 signer/X.509 identity fields Built-in static PE inspection; PE certificates
PE imports Import and delay-load DLL names, ordinals, IAT RVAs and pefile import hash Built-in static PE inspection; PE imports
Windows shortcuts Shell Link target, arguments, working dir, ExtraData and Tracker droid facts Built-in static LNK inspection; Windows shortcuts
ELF notes PT_NOTE/SHT_NOTE owners, types, GNU build-id and ABI-tag fields Built-in static ELF inspection; ELF notes
Binary hardening PIE, NX, RELRO, CFG and related header flags for ELF, PE and Mach-O Built-in static header inspection; binary hardening
Apple IPS crashes .ips metadata, threads, images, registers and documented crash classes Built-in static JSON inspection; Apple IPS
Linux kernel modules .modinfo keys, __versions CRCs, this_module presence, and signature trailer Built-in static ELF inspection; kernel modules
Erlang BEAM IFF chunks, atoms, exports, imports, lambdas and the Code header Built-in static BEAM inspection; Erlang BEAM
WASM artifact Validation, sections, exact import/export WAT forms and decoded WAT Caller-supplied WABT 1.0.42; inspect_wasm_artifact
EVM bytecode Dispatch selectors, byte offsets, inferred arguments and mutability Local raw/hex carrier on Linux x64; offline EVM guide
SQLite databases Tables, columns, indexes, views, triggers and selected ordinary-table rows Local database/WAL snapshot; Node.js 24.x >=24.15 or 26+ with native SQLite limits
Recorded Linux crashes Raw notes, every recorded thread's registers/signals and optional mapping candidates Caller-supplied pwntools on Linux x64; optional GDB/pwndbg; recorded crashes
JavaScript / Electron Modules, imports, source maps, routes, IPC, native add-ons, rea audit-release-exposure Node.js and npm; Linux: procps-compatible ps; application analysis
Websites Page structure, scripts, network observations and requested screenshots A Chrome-family browser; browser analysis
Saved network captures Requests, responses, exposed payloads and source locations HAR or Fiddler Everywhere SAZ; mitmdump on Linux for native mitmproxy; capture guide
.NET assemblies Metadata, CIL instructions, declared native dependencies and build comparisons None (static only); managed-code guide
Android APKs Manifest declarations, classes, decompiled methods and references Headless JADX and a full JDK on Linux/macOS/Windows x64; Android guide
APK signatures v1/v2/v3/v3.1 signers, certificate fingerprints, key rotation and digest self-consistency None (static only); inspect_apk_signature
Android devices Devices, packages, processes, logs, dumps, screen captures, and APK/file transfers Caller-supplied adb (emulator or hardware); ADB guide
JEB projects Engine-backed project units, artifact digests and type/method pseudo-code A caller-started JEB client serving MCP, selected with REA_JEB_MCP_URL; JEB guide
Android resources Decoded manifest, string tables, locales and version facts Caller-supplied Apktool launcher; resource guide
Flutter apps Dart snapshot hash, per-ABI library digests and engine build provenance None (static APK parsing); Flutter guide
Firmware Regions, extraction results and native-analysis handoffs Binwalk / Unblob on Linux; firmware guide
Recorded packets Selected fields, repeated values, filters and decode-as rules Linux: TShark 4.x + prlimit; capture guide
Packet summaries Endpoints, DNS, TLS SNI, protocol distribution and HTTP requests Caller-supplied tshark and capinfos (Linux-verified); pcap guide
Recorded logic signals Decoder annotations, sample ranges and diagnostics Linux: sigrok-cli 0.7.2 + prlimit; signal recordings
Packages and resources File inventories, digests, plists, Apple bundle anatomy and extracted resources Artifact and JavaScript guide, Apple applications
Process behavior Terminal output, interactions, exit and filesystem observations, and run comparisons Linux/macOS with a native PTY; process capture
PyInstaller executables CArchive members, Python version, entry scripts and extracted bytecode None (static only); Python packaged applications
Deno compile binaries Virtual files, entry point, recorded options, npm snapshot length None (static only); Deno compile executables

Static JavaScript and .NET inspection read the supplied files without running the application. Runtime capture runs or interacts with the selected target using your user permissions; each runtime guide describes its effects.

For offline native-binary inspection, REA also supports caller-supplied GNU objdump and Rizin. See the reverse-engineering tools guide for provider setup, CLI commands, and Evidence limitations. REA does not install or update either provider.

Native formats and host support vary by provider. See Hopper and Ghidra setup, the IDA guide (including an optional native MCP bridge), the Kuna decompiler guide, and experimental Windows Ghidra support. Ghidra also supports 16-bit DOS analysis. For large binaries, raise the provider's startup deadline with REA_GHIDRA_STARTUP_TIMEOUT_MS or REA_HOPPER_STARTUP_TIMEOUT_MS. For provider selection, see the CLI guide. Check release availability for features added since the latest npm release.

Showcases

Illustrations of the DX-Ball sound-pan, Notion clipboard-bridge, and TH04 bullet-ring showcases

DX-Ball: reconstruct a sound-pan calculation

Follow a sound call into its position-to-pan helper, inspect the instructions, and turn incomplete pseudocode into C. The reconstruction passes 3,205 original-x86 cases and reproduces all 63 compiled function bytes.

Read the case study · Reconstruction repository

Notion: trace the Electron clipboard bridge

Find the renderer's clipboard API, follow it through preload and IPC into the main process, and inspect the rich clipboard format.

Read the case study

TH04: recover a DOS bullet-ring calculation

Inspect the original PC-98 game's 16-bit instructions, recover the fixed and aimed angle calculations, and compare the reconstructed C++ with the historical compiler output.

Read the case study · Reconstruction repository

Build RL environments with REA

Record a web app session, turn its API into tools, and export an environment an AI agent can use. Run it with AgentEnv, then add tasks and reward checks for RL training or evaluation.

Read the guide · Watch the video

If you've used REA on something interesting, we'd love to see it. Share your case in an issue or a pull request, including the target, your question, how REA helped, and what you found.

Build RL environments

Give an AI agent a local environment to practice tasks such as finding an issue or creating a folder, without running the original app. Use it for reinforcement learning (RL) or to test how well an agent completes tasks.

REA turns recorded API requests and responses into tools the agent can call. The environment uses the recorded data and supports changes only when the recording confirms their effects.

With REA set up in your agent, replace the example URL and folder tasks below with your own:

Use REA to build an RL environment from my test web app at
http://127.0.0.1:3000.
Cover listing, creating, renaming, and deleting folders. You may create and
remove test folders. Leave existing data unchanged.
Save it in a folder named my-env. Check which operations work and tell me
how to run it.
Use the command line instead

Use these commands if you already have a file containing the app’s recorded browser requests and responses. Running the result also requires AgentEnv and Docker.

rea environment-build ./session.har ./my-env --name my-env --json
agent-env run ./my-env

REA exports a runnable environment with a basic test to check that it starts and responds. Use it with your RL framework to define task goals, add reward checks, and run training.

Build an environment · Environment reference · Watch the demo on X

Desktop app environments

REA can also build an environment of a Linux desktop app, which an agent uses through screenshots, the mouse and the keyboard. From a one-line request, such as "Build me a Gnote environment where the agent adds olive oil to the shopping list note", your agent installs the app on a local build computer, writes the task, exports the environment and checks the task in a fresh computer. The machine that builds it needs Linux on amd64 or arm64, Docker and the agentenv framework version the guide pins.

Set up desktop app environments

FAQ

Which agents can use REA?

Any agent that supports local MCP servers. Setup configures the supported agents; other clients can use manual MCP registration.

Do I need a native analysis engine?

Deep native analysis uses Hopper, Ghidra, IDA or Kuna, depending on the target and operation. Static JavaScript and .NET inspection work without a native analysis engine. Setup can install Hopper after approval; Ghidra, IDA and Kuna use your existing installations. See provider setup for the options and their supported targets.

Do I need to start Hopper first?

REA starts Hopper when an operation needs it. On macOS, a first-run dialog may ask you to choose demo mode or activate your license. Complete that prompt in the same user session before your first CLI/MCP operation or unattended job. Open Hopper manually if needed. See Hopper startup and troubleshooting.

What does installing the skill from skills.sh do?

The skill supplies investigation instructions for your agent. Use npx rea-agents setup to register REA's MCP server and install the matching instructions, then restart your agent. See skill-only installation.

What code does REA return?

Native analysis returns pseudocode and assembly. JavaScript/Electron analysis recovers modules and their relationships. Your agent uses these findings to write and test an implementation; the showcases give worked examples.

Does REA upload my app?

REA analyzes targets locally. Your agent receives the tool results, and its model provider has its own data policy.

What should I do if I hit a bug?

Update first; a recent release may already fix it.

For a CLI installed with npm install --global or bun add --global:

rea update

For agent setup through npx:

npx rea-agents@latest setup

If you're using an agent, complete the setup refresh and restart it. Retry the same task. If the problem persists, open an issue with your REA version, target type, steps to reproduce and error output.

Documentation

Start with the website's worked guides. For exact options, prerequisites and result contracts:

Report vulnerabilities through SECURITY.md.

Star history

🎉 400,000 GitHub stars — thank you!

Thanks to everyone using REA, reporting bugs, requesting features, testing builds, and contributing fixes.

REA GitHub star history

Disclaimer

See DISCLAIMER.md for responsible-use guidance.

The project's position on illegal or unauthorized use covers all REA versions, distribution channels, and platforms; each copy retains its applicable licenses.

REA is for lawful research, education, interoperability, software preservation, and analysis of software you own or are authorized to examine.

Contributing

We'd love your help with REA! Open an issue to report a bug or suggest a feature, or send a pull request to improve the code or docs.

See CONTRIBUTING.md for development setup and checks, testing for verification lanes, and the architecture map for selected layers and dependency paths.

License

MIT

REA-authored code is licensed under MIT. Third-party material retains its own licenses and copyright notices; see Third-party notices for the dependency inventory, preserved license texts, and external-tool terms.

You must legally obtain and be authorized to use commercial tools, including IDA Pro / Hex-Rays decompilers, Hopper, and JEB, under their applicable licenses. REA grants no tool license, key, or activation entitlement. Trials and demos remain subject to vendor terms, including user, feature, automation, and output sharing restrictions. Cracked copies, stolen keys, unauthorized key sharing, and bypassing license restrictions are not authorized. This guidance does not amend MIT or third-party licenses.

Languages
TypeScript 91.4%
JavaScript 5%
HTML 1.1%
Python 1.1%
Java 0.9%
Other 0.2%