“X-ray any binary — offline, cross-platform static reverse-engineering intelligence for AI agents and the CLI. Built on REA.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Documented (README)
git clone https://github.com/Alessiolucini/binsight && cp binsight/*.md ~/.claude/agents/Resumen de Subagents
<div align="center">
# BinSight
### The AI X-ray for any file. Point it at a binary and ask: **what is it, what does it hide, and what changed?**
**Offline · cross-platform · with evidence. It never runs the file.**
[](docs/mcp-contracts.md#generated-catalog)
[](LICENSE)
Built on [REA (morluto/rea)](https://github.com/morluto/rea) · MIT
</div>
---
Most files are black boxes: an `.exe` you downloaded, a firmware dump, a driver,
a game, an ECU calibration, an app update. BinSight opens the box — **statically,
on your own machine, without ever running the file** — and answers the three
questions that matter, in plain language and with the evidence to back them up.
```text
You: What is this file? Is it hiding anything? And what changed vs the old version?
BinSight: PE/Windows x64, compiled with MSVC, UPX-packed (entropy 7.9),
imports consistent with network + process injection, Authenticode
signature present, and vs the previous build 3 regions changed —
here are the offsets. All static, all offline, with evidence.
```
## The three questions
### 🔎 What is it?
`triage_file` and `inspect_executable` read ELF, PE/Windows and Mach-O (and raw
blobs) and tell you the type, architecture, entry point, imports/exports,
sections, hashes, and a compiler/packer fingerprint — **without starting Ghidra
or IDA**, on macOS, Windows or Linux.
### 🕵️ What does it hide?
`detect_binary_toolchain`, `measure_binary_entropy`, `classify_import_capabilities`,
`identify_crypto_constants`, `extract_binary_strings`, `inspect_code_signature`
and `scan_embedded_content` surface packing, high-entropy regions, imported
capabilities (network, process, crypto…), IOC strings, embedded files, and
whether a signature is real — reported as evidence and inference, never as a
verdict.
### 🔁 What changed?
`compare_binaries` diffs **any two files** byte-for-byte and explains the change
— which regions moved, what was zeroed or maxed out, the before/after values.
Works on app updates, drivers, firmware and ECU calibration dumps alike.
`compare_executables` adds import/export/section/hardening deltas for executables.
## All 17 tools
| Tool | What it answers |
| ---------------------------------- | ------------------------------------------------------------------------------------------------- |
| **`triage_file`** | One call: type, hashes, structure, entropy, packing, capabilities, signature, strings, next steps |
| **`generate_triage_report`** | A shareable Markdown triage report |
| **`compare_binaries`** | Diff **any** two files and explain what changed (firmware, ECU dumps, updates) |
| **`compare_executables`** | Diff two executables: imports, exports, sections, hardening, entropy |
| **`inspect_executable`** | Sections, imports, exports, libraries, symbols, entry point, overlay — ELF/PE/Mach-O |
| **`inspect_binary_hardening`** | checksec for every OS: PIE, canary, NX, RELRO, CFG, ASLR, hardened runtime |
| **`measure_binary_entropy`** | File / section / block Shannon entropy + chi-square |
| **`detect_binary_toolchain`** | Compiler, packer, installer, language (UPX, MSVC, PyInstaller, Go…) |
| **`extract_binary_strings`** | ASCII/UTF-16 strings classified into IOCs (URL, IP, path, registry…) |
| **`identify_crypto_constants`** | AES S-box, SHA/MD5, CRC32, ChaCha, curve parameters… |
| **`classify_import_capabilities`** | Capabilities inferred from imports ("consistent with", never a verdict) |
| **`scan_byte_patterns`** | Byte / hex-wildcard / text / regex search, no provider needed |
| **`compute_similarity_hashes`** | imphash, Rich hash, symhash, telfhash, ssdeep, TLSH |
| **`inspect_code_signature`** | Authenticode + Mach-O code signature — on any host |
| **`scan_embedded_content`** | binwalk-style embedded-file identification (offsets only) |
| **`generate_sbom`** | CycloneDX / SPDX component inventory from embedded metadata |
| **`recover_go_symbols`** | Function names from a stripped Go `pclntab` |
Every result separates **observations, inferences and unknowns**, carries file
offsets, and states its limitations. **Detection only** — nothing is unpacked,
decrypted, cracked or executed.
## Quickstart
```bash
npx binsight triage-file /path/to/file --json
npx binsight compare-binaries /path/to/old /path/to/new --json
npx binsight generate-triage-report /path/to/file --json
```
Register BinSight as an MCP server for your AI agent, then just ask it in plain
language ("what is this file, what does it hide, what changed?"):
```bash
npx binsight setup
```
BinSight supports the same agents as REA — see
[supported agents](docs/installation.md#supported-agents); other clients can use
[manual MCP registration](docs/installation.md#mcp-registry).
## Verified against the reference tools
BinSight's parsers and hashes are checked against the tools analysts already
trust: **imphash matches `pefile` byte-for-byte**, structure matches **LIEF /
readelf / otool**, and hardening and packing results match **checksec** and
**Detect It Easy** on a real corpus of ELF, PE and Mach-O binaries.
## Documentation
- [Static intelligence suite](docs/static-intelligence.md): the 17 tools, with CLI and MCP examples.
- [Tool catalog](docs/mcp-contracts.md#generated-catalog): generated inventory of tools, providers and CLI commands.
- [Installation and setup](docs/installation.md): providers, agents and manual registration.
## Built on REA
BinSight builds on [REA](https://github.com/morluto/rea) and adds the static
intelligence suite above. REA is MIT-licensed; this project keeps that license
and attribution. **This is not an official REA release** — for REA itself, go to
[morluto/rea](https://github.com/morluto/rea).
## License
MIT. See [LICENSE](LICENSE). Portions © the REA authors.
Lo que la gente pregunta sobre binsight
¿Qué es Alessiolucini/binsight?
+
Alessiolucini/binsight es subagents para el ecosistema de Claude AI. “X-ray any binary — offline, cross-platform static reverse-engineering intelligence for AI agents and the CLI. Built on REA. Tiene 1 estrellas en GitHub y su última actualización registrada es del 2026-10-18.
¿Cómo se instala binsight?
+
Puedes instalar binsight clonando el repositorio (https://github.com/Alessiolucini/binsight) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar Alessiolucini/binsight?
+
Nuestro agente de seguridad ha analizado Alessiolucini/binsight y le ha asignado un Trust Score de 87/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene Alessiolucini/binsight?
+
Alessiolucini/binsight es mantenido por Alessiolucini. La última actividad registrada en GitHub es del 2026-10-18, con 0 issues abiertos.
¿Hay alternativas a binsight?
+
Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.
Despliega binsight en tu cloud
Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.
¿Mantienes este repo? Añade un badge a tu README
Pega el badge en tu README de GitHub para mostrar que está auditado por ClaudeWave. Cada badge enlaza de vuelta a esta página y muestra el Trust Score actual.
[](https://claudewave.com/repo/alessiolucini-binsight)<a href="https://claudewave.com/repo/alessiolucini-binsight"><img src="https://claudewave.com/api/badge/alessiolucini-binsight" alt="Featured on ClaudeWave: Alessiolucini/binsight" width="320" height="64" /></a>Más Subagents
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
The agent that grows with you
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Java 面试 & 后端通用面试指南,覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
The agent engineering platform.