Bedihi is a GUI wrapper around an AI-assisted login form analyzer and a bruteforce testing engine. It was developed as a research / red-team lab tool to help security researchers analyze login form structures, collect selectors, and run controlled bruteforce experiments only against systems you own or explicitly have written permission to test.
- Runs locally / offline.
- Load URL, username, and password lists in a simple window.
- Two-step flow: examine the site first, then run attempts.
- Tries to find the login fields automatically.
- Opens a browser in background to fill and submit forms.
- Skips any site that shows a CAPTCHA.
- Only performs full username×password brute-force attempts.
- Stops testing a site once valid credentials are found.
- Detects likely success by page changes or common words.
- Saves analysis and attempt results to a local database.
For Linux;
$ curl -fsSL https://ollama.ai/install.sh | sh
$ ollama pull llama3.1:8b
$ pip install -r requirements.txt
$ playwright install chromium
$ python bedihi.py
For Windows;
Download & Install Ollama: https://ollama.com/download
After installation:
$ ollama.exe pull llama3.1:8b
$ pip install -r requirements.txt
$ playwright install chromium
$ python bedihi.py(The local LLM will be installed on the system, this may take a few minutes)
- Asynchronous multithreaded brute-force (future)
- AI based backup file detect
- AI-based automatic CAPTCHA bypass
Join, tweak, and send a PR — this script gets stronger and evolves faster with your contributions.
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