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Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request significantly enhances the user documentation by introducing a dedicated and comprehensive setup guide for PentestGPT on Linux environments. The new Highlights
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Code Review
This pull request introduces a comprehensive setup and usage guide for Linux users. The guide is well-structured and covers the entire process from installation to troubleshooting. I've identified a few areas for improvement to enhance clarity and correctness. My main concerns are:
- The installation commands are specific to Debian-based systems and should be noted as such.
- The instructions for running the application are inconsistent with the Docker-based setup, which could confuse users.
- Some example commands and model names could be clarified or corrected for accuracy.
I've also suggested a usability improvement for the Table of Contents. Addressing these points will make the guide more robust and easier for all Linux users to follow.
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| # Installation | ||
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| ## Update system packages |
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The installation commands provided are specific to Debian-based systems (apt). Since the guide mentions it's for various Linux environments including Arch Linux, it's important to clarify this to avoid confusion for users on other distributions. Adding a note about this would be very helpful.
| ## Update system packages | |
| ## Update system packages | |
| > [!NOTE] | |
| > The commands in this installation section are for Debian-based systems (like Ubuntu and Kali). If you are using a different distribution (e.g., Arch Linux, Fedora), please use the equivalent commands for your package manager. |
| # Running PentestGPT | ||
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| ```bash | ||
| make run | ||
| ``` | ||
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| or | ||
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| ```bash | ||
| uv run pentestgpt | ||
| ``` |
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The instructions in the "Running PentestGPT" section are misleading. They suggest make run or uv run pentestgpt, which execute the application locally and are intended for development according to the Makefile. The setup guide, however, prepares a Docker environment. The correct procedure for a user should be to connect to the Docker container (e.g., using make connect) and then run pentestgpt from within the container. This inconsistency can cause confusion and lead to an incorrect setup.
| # Running PentestGPT | |
| ```bash | |
| make run | |
| ``` | |
| or | |
| ```bash | |
| uv run pentestgpt | |
| ``` | |
| # Running PentestGPT | |
| To run PentestGPT, connect to the Docker container. This will give you a shell inside the pre-configured environment. | |
| ```bash | |
| make connect |
Once you are inside the container's shell, you can launch the application:
pentestgpt --target <your-target-ip-or-url>| * Overview | ||
| * Features | ||
| * Architecture | ||
| * Requirements | ||
| * Installation | ||
| * Docker Setup | ||
| * Installing uv | ||
| * Cloning the Repository | ||
| * Installing Dependencies | ||
| * Configuration | ||
| * Running PentestGPT | ||
| * Example Usage | ||
| * Typical Pentesting Workflow | ||
| * Using Local LLMs | ||
| * Benchmark System | ||
| * Development Setup | ||
| * Troubleshooting | ||
| * Security Notice | ||
| * Contributing | ||
| * License |
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The Table of Contents is very helpful for navigating this comprehensive guide. To make it even more user-friendly, you can transform the list items into clickable links. This allows users to jump directly to the section they are interested in.
| * Overview | |
| * Features | |
| * Architecture | |
| * Requirements | |
| * Installation | |
| * Docker Setup | |
| * Installing uv | |
| * Cloning the Repository | |
| * Installing Dependencies | |
| * Configuration | |
| * Running PentestGPT | |
| * Example Usage | |
| * Typical Pentesting Workflow | |
| * Using Local LLMs | |
| * Benchmark System | |
| * Development Setup | |
| * Troubleshooting | |
| * Security Notice | |
| * Contributing | |
| * License | |
| * [Overview](#overview) | |
| * [Features](#features) | |
| * [Architecture](#architecture) | |
| * [Requirements](#requirements) | |
| * [Installation](#installation) | |
| * [Docker Setup](#docker-setup) | |
| * [Installing uv](#installing-uv) | |
| * [Cloning the Repository](#cloning-the-repository) | |
| * [Installing Dependencies](#installing-dependencies) | |
| * [Configuration](#configuration) | |
| * [Running PentestGPT](#running-pentestgpt) | |
| * [Example Usage](#example-usage) | |
| * [Typical Pentesting Workflow](#typical-pentesting-workflow) | |
| * [Using Local LLMs](#using-local-llms) | |
| * [Benchmark System](#benchmark-system) | |
| * [Development Setup](#development-setup) | |
| * [Troubleshooting](#troubleshooting) | |
| * [Security Notice](#security-notice) | |
| * [Contributing](#contributing) | |
| * [License](#license) |
| 3. **Directory Discovery** | ||
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| ```bash | ||
| gobuster dir -u target -w wordlist.txt |
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The gobuster command's -u flag expects a full URL, including the scheme (e.g., http:// or https://). Using just target as a placeholder might be ambiguous if the target is an IP address. It would be clearer to include the scheme in the example to ensure the command is used correctly.
| gobuster dir -u target -w wordlist.txt | |
| gobuster dir -u http://<target> -w wordlist.txt |
| Pull a model: | ||
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| ```bash | ||
| ollama pull qwen2.5-coder |
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The model name qwen2.5-coder does not appear to be a standard model available on the Ollama library. This might be a typo and could cause an error for users trying to pull the model. It would be better to use a well-known and verified model name. For coding-related tasks, a model like codellama is a popular choice.
| ollama pull qwen2.5-coder | |
| ollama pull codellama:7b |
1 participant
I successfully installed PentestGPT on my Kial Linux system, and subsequently developed a comprehensive setup guide tailored specifically for Linux users. This guide focuses on optimizing the use of various tools available on Kial Linux, ensuring a smoother installation and configuration process for a seamless penetration testing experience.