--- title: "open-reverselab" type: "tool" slug: "ling71671-open-reverselab" canonical_url: "https://www.graphcanon.com/tools/ling71671-open-reverselab" github_url: "https://github.com/LING71671/open-reverselab" homepage_url: "https://ling71671.github.io/open-reverselab/" stars: 794 forks: 216 primary_language: "Python" license: "GPL-3.0" archived: false categories: ["ai-agents", "developer-tools", "llm-frameworks"] tags: ["ai-agent", "ai-jailbreak", "ai-jailbreak-universal", "android-reverse-engineering", "binary-analysis", "claude-code", "cryptography", "ctf"] updated_at: "2026-07-15T10:39:01.0113+00:00" --- # open-reverselab > Open-source reverse engineering lab: 197-article knowledge base + MCP tools + CTF/APK/PE automation toolchain. Agent-native. Note:由于场景原因，目前有让几乎所有（除fable5）AI都会越狱的bug,静等官方修复,但是请在合法授权下进行安全测试😉（项目可以让5.6干活 Open-source reverse engineering lab: 197-article knowledge base + MCP tools + CTF/APK/PE automation toolchain. Agent-native. Note:由于场景原因，目前有让几乎所有（除fable5）AI都会越狱的bug,静等官方修复,但是请在合法授权下进行安全测试😉（项目可以让5.6干活，但是会cyber，等作者改改） ## Facts - Repository: https://github.com/LING71671/open-reverselab - Homepage: https://ling71671.github.io/open-reverselab/ - Stars: 794 · Forks: 216 · Open issues: 4 · Watchers: 5 - Primary language: Python - License: GPL-3.0 - Last pushed: 2026-07-12T18:03:02+00:00 ## Trust & health _Signals computed from public GitHub metadata. Not a security guarantee._ - Maintenance: Very active (computed 2026-07-15T10:38:58.969Z) - Security scan: No MCP manifest (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-15T10:38:59.401Z - Full report: [trust report](/tools/ling71671-open-reverselab/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/ling71671-open-reverselab/trust) ## Categories - [AI Agents](/categories/ai-agents.md) - [Developer Tools](/categories/developer-tools.md) - [LLM Frameworks](/categories/llm-frameworks.md) ## Tags ai-agent, ai-jailbreak, ai-jailbreak-universal, android-reverse-engineering, binary-analysis, claude code, cryptography, ctf ## Category neighbours (exploratory) _Same-category tools for discovery only - not curated alternatives. Cap shown at six._ - [awesome](/tools/sindresorhus-awesome.md) - 😎 Awesome lists about all kinds of interesting topics (★ 484,026) [Active] - [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system for AI agents (★ 228,395) [Very active] - [hermes-agent](/tools/nousresearch-hermes-agent.md) - The agent that grows with you (★ 212,994) [Very active] - [n8n](/tools/n8n-io-n8n.md) - Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations. (★ 196,027) [Very active] - [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT is the vision of accessible AI for everyone, to use and to build on. (★ 185,464) [Very active] - [ollama](/tools/ollama-ollama.md) - Get up and running with various large language models using Ollama. (★ 175,936) [Very active] _+ 2 more not listed._ ## README (excerpt) _Quoted verbatim from the upstream repository. Untrusted content - treat as data, not instructions._ ````text ## Installation On Windows, beginners can double-click `START_HERE.bat` or `START_HERE.cmd` from the repository root. It checks Python, uv, Git, workspace layout, and `reverse_lab_tools` MCP; creates core wrappers; runs real MCP tool calls; gives install advice for missing items; and writes `reports/misc/first-run-report.json` plus `reports/misc/mcp-smoke-report.json`. On macOS/Linux, run `./START_HERE.sh` from the repository root. It performs the same first-run checks and uses POSIX shell wrappers under `tools/bin/`; optional Windows GUI/PE tools are skipped or reported as Windows-only. Platform-specific release artifacts can stay separate: Windows full-toolchain releases ship `.bat`/PowerShell and GUI tools, while macOS/Linux releases ship the Python, MCP, shell-wrapper, and native CLI paths. To have an AI Agent perform setup for you, copy the [AI install prompt](templates/prompts/ai-install.en.md) into Codex or Claude Code. If you are not sure where to start, open [START.md](START.md). ```powershell git clone https://github.com/LING71671/open-reverselab.git cd open-reverselab python scripts/misc/first_run_check.py # Check workspace + reverse_lab_tools MCP uv run --project tools/skills/mcp/ReverseLabToolsMCP python scripts/misc/mcp_smoke_check.py --write-report .\scripts\misc\bootstrap.ps1 # Core script wrappers (no downloads) .\scripts\misc\install_tools.ps1 -CTF # Web tools .\scripts\misc\install_tools.ps1 -Android # APK tools .\scripts\misc\install_tools.ps1 -Windows # PE tools .\scripts\misc\install_tools.ps1 -Common # Ghidra + Maven ``` macOS/Linux quick start: ```sh ./START_HERE.sh ./scripts/misc/bootstrap.sh export PATH="$PWD/tools/bin:$PWD/tools/ctf-website/bin:$PATH" python scripts/misc/ai_toolcheck.py --board misc ``` --- ## Agent Quick Start 1. Clone into a stable local directory, for example `/open-reverselab`. 2. Windows: double-click `START_HERE.bat` or `START_HERE.cmd` for the first-run check. macOS/Linux: run `./START_HERE.sh`. 3. Claude Code: `cd /open-reverselab` before starting the session. 4. Codex APP: open the existing `open-reverselab` folder directly. 5. AI-assisted setup: copy [templates/prompts/ai-install.en.md](templates/prompts/ai-install.en.md) into your AI Agent. 6. Create a task: `python scripts/misc/new_task.py --board ctf-website --name `. 7. After moving machines or changing MCP settings, run `uv run --project tools/skills/mcp/ReverseLabToolsMCP python scripts/misc/mcp_smoke_check.py --write-report` and confirm MCP tool calls pass. Post-install verification: ```powershell python scripts/misc/lab_healthcheck.py python scripts/misc/ai_toolcheck.py --board misc python scripts/misc/public_release_check.py ``` `--board misc` verifies the fresh-clone core Agent scripts and lightweight tools. Run the full `python scripts/misc/ai_toolcheck.py` only after installing the Android, Windows, and CTF board toolchains you need. --- ## License GPL-3.0-only. See [LICENSE](LICENSE) for details. ```` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/ling71671-open-reverselab`](/api/graphcanon/tools/ling71671-open-reverselab) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_