* fix(web-capture): keep mitmproxy request targets and status codes in previews Capture previews selected HAR/SAZ headline names (url, status) only, so a native mitmproxy record lost its request target (scheme, host, port, authority, path) and its status_code while keeping the reason phrase, and the matching numeric sidecars were filtered out. Select those mitmproxy headline fields too; headers and payloads stay omitted. * fix(comparison): recheck historical calls-only changes (#2223) * fix(comparison): preserve incomplete function call evidence Keep missing, unknown, partial and unresolved call relationships unknown in function comparisons and reconstruction claims. Aggregate IDA caller and callee coverage without overwriting uncertainty. Validate with 144 focused tests, typecheck/lint, docs checks and test discovery. Real providers were not verified; the full headless IDA session suite requires unavailable Windows native controls. * fix(comparison): recheck historical calls-only changes --------- Co-authored-by: morluto <[email protected]> * fix(ci): isolate Linux Hopper process fixture inventory * fix(android): make DEX descriptor pattern portable * style: format comparison and IDA sources * fix(web-capture): preview mitmproxy targets only as safe scalars Select the mitmproxy target and status fields only for mitmproxy records, only when they are scalars, and the path only in origin form. An absolute, network-path or otherwise ambiguous path spelling can carry userinfo that the native bridge's redaction does not recognise, and a nested value could copy an arbitrary record subtree into the preview; both stay in complete record pages. Other formats keep their existing headline fields. * fix(web-capture): keep the asterisk-form OPTIONS target in mitmproxy previews * fix(web-capture): exclude ambiguous and oversized mitmproxy targets from previews Origin-form checks alone accepted slash-backslash and slash-control spellings such as /\user:password@host/a, which WHATWG resolves as an authority with credentials and the recorded transport-URL interpretation already treats as ambiguous credentials. Preview a mitmproxy path only when parseRecordedTransportUrl finds no credentials, and omit mitmproxy headline strings longer than 8 KiB so one record cannot exceed the reply budget; both stay in complete record pages. * fix(web-capture): keep userinfo-bearing mitmproxy target fields out of previews Native redaction covers only request path and authority, so a malformed state such as host "user:[email protected]" passed through the preview. Omit every non-path mitmproxy headline string that contains a userinfo marker (@); valid schemes, hosts and ports never do, and the value stays in complete record pages. * fix(web-capture): admit mitmproxy headline values only in their well-formed shapes A per-string length cap still let a malformed capture fill every target slot with escape-heavy text, so one default preview page could expand to about 18 MiB of JSON. Preview each mitmproxy field only in its own shape: a short scheme token, host/authority without controls, whitespace or userinfo markers, integer port and status code, and a path of at most 2 KiB without control characters. That bounds every record's headline to about 4 KiB serialized, even for an escape-heavy path. * fix(web-capture): bind mitmproxy headlines to their message side and integer type Select mitmproxy target fields only from the request and status_code only from the response, so an unknown scalar extension such as response.path or request.status_code is not promoted to a headline. Admit port and status_code only when the record's numeric sidecar reports the producer's integer type; a native float such as 443.0 is otherwise indistinguishable from 443 after JSON parsing. * fix(web-capture): require one canonical integer sidecar for mitmproxy numeric headlines An inline parent could pair request.port 443 with an integer sidecar whose literal is unbounded or does not represent the value, or with duplicate sidecars, and the selected-pointer filter would copy them into the preview. Admit port and status_code only with exactly one integer sidecar whose literal is the value's canonical decimal, which also bounds the copied literal to a few characters. * fix(web-capture): add mitmproxy headlines only for HTTP flows The mitmproxy container format does not make every retained flow HTTP; the bridge keeps non-HTTP and unknown flow states with their extensions. Add the mitmproxy target and status candidates only when the record's own type is "http". * fix(web-capture): require consistent numeric sidecars for every mitmproxy headline Selecting a field also selects its numeric sidecars, so a string target such as request.path with an unrelated multi-megabyte sidecar copied that literal into the preview. Admit integer slots only with exactly one canonical integer sidecar and string slots only with no sidecar. * fix(web-capture): fail closed on any userinfo marker in previewed mitmproxy paths URL parsing can fail before recognising userinfo: /\user:[email protected]:65536/a has an invalid port, so the parser reported no credentials and the path was previewed with them. Every userinfo needs "@", so preview a path only when it contains none and does not start with // or /\; such paths stay on complete pages. The parser check is no longer needed. * fix(web-capture): never promote a redacted pointer to a mitmproxy headline Inline or imported Evidence can carry a value at a pointer that its own redactions mark as sensitive. Skip any mitmproxy headline whose pointer has a redaction entry, so a preview never re-emits a value the record says was redacted. * fix(web-capture): check integer headline types before comparing sidecar literals The sidecar comparison called String(value) before the numeric shape check, so an inline object such as {"toString": null} at request.port threw a TypeError out of the view instead of being omitted. Require a number before canonicalizing it. * fix(web-capture): honor ancestor value redactions before selecting mitmproxy headlines A value redaction at /request or the record root excludes its whole subtree, but only exact-pointer matches were honored, so contradictory inline Evidence could still preview /request/host or /request/path. Treat a value redaction as covering every descendant pointer; a property-name redaction still only identifies the parent of an omitted key and hides no sibling values. * fix(web-capture): treat redacted byte descriptors as exclusions for mitmproxy headlines Producers mark excluded bytes with a redacted binary descriptor as well as a redaction entry, and the record schema accepts either facet alone. Skip a mitmproxy headline when a redacted descriptor covers its pointer, so contradictory Evidence that keeps the value cannot preview it. * fix(web-capture): refuse a redacted flow type as the mitmproxy HTTP discriminator Contradictory Evidence can keep type "http" while marking /type redacted. Apply the same redaction check to /type before treating the flow as HTTP, so no mitmproxy headline is added when the flow kind is unavailable. * fix(web-capture): refuse mitmproxy headlines under contradictory numeric sidecars A numeric sidecar records that the producer held a number at that pointer. Treat the flow as HTTP only when /type has no sidecar of its own, and promote a mitmproxy headline only when no ancestor (the record root, /request or /response) carries one. * fix(web-capture): require a textual flow type before adding mitmproxy headlines mitmproxy's flow state carries type as a string. When the native value was bytes, the bridge shows the UTF-8 display text "http" next to a retained binary descriptor, so the producer did not supply the discriminator mitmproxy defines. Treat the flow as HTTP only when /type has no numeric sidecar and no binary descriptor at or above it. * fix(web-capture): refuse mitmproxy headlines under byte-valued ancestors The mitmproxy bridge emits either a byte descriptor for a value or children for a dictionary, never both. Treat a byte descriptor on an ancestor like a numeric sidecar, and refuse a byte descriptor on an integer headline, while keeping the exact descriptor of byte-backed string fields such as the request path. * fix(web-capture): check child facets and byte provenance of mitmproxy headlines A facet beneath a scalar coordinate says the producer held a container there, so refuse the flow type or a headline field with a numeric sidecar, byte descriptor or redaction below it. A string headline may carry at most one byte descriptor, and only retained mitmproxy producer bytes whose content is the value's UTF-8; HAR content bytes or mismatched content keep it out. * fix(web-capture): verify the byte count and digest of byte-backed headlines The record schema checks a descriptor's length and digest shapes, not their relation to its content. Require a byte-backed string headline's descriptor to match the value's UTF-8 in content, byte count and SHA-256 before promoting it. * fix(web-capture): reject byte-backed headlines without a UTF-8 form Buffer.from replaces an unpaired surrogate with U+FFFD bytes, so a descriptor for those bytes matched a string no producer could have decoded. Require the value to round-trip through UTF-8 before comparing it with its descriptor, as CaptureRedaction already does. * fix(web-capture): index mitmproxy facets once and refuse non-UTF-8 targets Reject host, authority and path text containing an unpaired surrogate whether or not a byte descriptor backs it, since no producer could have reported such text. Build a per-record index of facet pointers (sidecars and descriptors by pointer, scalar pointers, container ancestors, withheld values and omitted names) once, only for mitmproxy HTTP records, so each headline check is a few set lookups instead of several passes over every facet array. * fix(web-capture): bound the mitmproxy facet index to headline coordinates Facet pointers have no length or depth bound, and recording every ancestor kept one set entry per prefix (a million for a 1 MB pointer). Record only the fixed headline coordinates (/type and the request/response target and status fields) that have a facet beneath them, examining prefixes no longer than those coordinates. * fix(web-capture): index only facets at headline coordinates and their ancestors Grouping every numeric sidecar and byte descriptor allocated an entry per facet even though only /type, the request/response headline fields and their ancestors are queried. Keep facets only at those pointers (at most two per pointer, which already decides every check), and let other facets merely mark the headline coordinates they lie beneath, using prefix comparisons that derive no strings. * test(web-capture): pin headline omissions and controls beside many unrelated facets The bounded facet index must not change what a mitmproxy preview withholds or keeps. Beside 20,000 unrelated sidecars, a redacted host and a path with a facet beneath it stay withheld while the scheme, port and status remain, with only their own sidecars retained. The test passes against both the current main projection and this change. * test(web-capture): count long set additions in the million-character pointer tests The two million-character pointer tests had no time or size bound, so on Node 22 and 24 they passed against the old ancestor index too, and only Node 26 caught a regression by running out of memory. Count the strings longer than 1,000 characters the preview adds to sets instead: only the pointer and strings cut from it are that long, the old index added 999,000 and 499,507 of them, and the new index adds none. --------- Co-authored-by: Lucien <[email protected]> Co-authored-by: morluto <[email protected]> Co-authored-by: Kaoru0822 <[email protected]> Co-authored-by: Claude Opus 5.5 <[email protected]>
English · 简体中文 · 繁體中文 · 日本語 · 한국어 · Türkçe · Русский · Tiếng Việt · ไทย · Deutsch · Español · Français · Українська · Polski · Português (Brasil) · العربية · فارسی · Bahasa Indonesia · Italiano · Ελληνικά · മലയാളം · Roman Urdu · Română
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.
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.
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/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 and manual MCP registration and Claude Code/Codex plugin installation.
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.
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 |
| 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 and native add-on relationships | 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 |
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
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.
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
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:
- Installation and setup: agent registration, provider configuration, updates and uninstall.
- Readiness and troubleshooting: diagnose one agent or analysis engine.
- CLI and Evidence: commands, provider selection, snapshots, import/export and exit statuses.
- MCP contracts and agent prompts: tool results, sessions and guided investigations.
- Tool catalog: generated inventory of tools, providers and CLI commands.
- Roadmap: planned work and capability trackers.
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.
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
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.
