by arphanetx · Agent Tool · ★ 165
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🤖 Large Language Model for Binary Analysis Search 🧐 Monocle is tooling backed by a large language model for performing natural language searches against compiled target binaries. Monocle can be provided with a binary and a search criteria (e.g., authentication code, vulnerable code, password strings, and more), and it will decompile the binary and use its in-built LLM to identify and score areas of the code that meet the criteria. 🔬 Binary Search: Without any prior knowledge, Monocle will support in answering binary analysis questions related to the target. 🤖 Natural Language and Open-Ended Questions: As Monocle is backed by an LLM queries passed to it are written in plain text. 🛠️ Ghidra Enabled: Monocle uses Ghidra headless to enable decompilation of compiled binaries! ⚙️ Setup System Requirements Monocle uses the Mistral-7B-Instruct-v0.2 model, and where possible offloads processing to your system's GPU. It is recommended to run Monocle on a machine with a minimum of 16GB of RAM
| Stars | 165 |
| Forks | 41 |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 62.8782839325207/100 |
| Last Updated | 2024-04-10 |
| Created | 2024-04-10 |
| Est. Tokens | ~257k |
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Monocle is Tooling backed by an LLM for performing natural language searches against compiled target binaries. Search for encryption code, password strings, vulnerabilities, etc.. It is categorized as a Agent Tool with 165 GitHub stars.
You can find installation instructions and usage details in the Monocle GitHub repository at github.com/arphanetx/Monocle. The project has 165 stars and 41 forks, indicating an active community.
Monocle is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to Monocle on Agent Skills Hub include claude-forge, excalidraw-diagram-skill, agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.