- 100% local, private PCAP assistant powered by range of local LLMs at your control, powered by Ollama
- Purely based on promp engg without any fancy libraries & dependencies. 100% vanilla
- Uses streamlit for the FE and pyshark for the pcap parsing needs
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Download & Install Ollama by referring to instructions according to your OS here
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Pull any Chat based LLM models to use with LPW.
ollama pull dolphin-mistral:latest
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If not running the desktop application, Start Ollama Server (refer here)
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Clone this repo and install requirements
git clone https://github.com/kspviswa/local-packet-whisperer.git
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
- Run streamlit app & point to
http://localhost:8501
streamlit run main.py
- LPW will automatically fetch the local models from Ollama local repo and populate the dropdown. Select a model to start your test. You can play with more than 1 model to compare the results 😎
- Now upload a PCAP file. PS: Though LPW accepts more than 1 file, currently only the first file will be used for analysis
- You can now start to chat with LPW and ask questions about the packet. Please Note: The performance of LPW depends on the underlying model. So feel free to download as many local LLMs from Ollama and try it. It is fun to see different response 🤩🤩🤩.
(This is a long gif. You will find LLM response at the end of the gif)
- By default PyShark parse the pcap till transport layer. If you want, you can help the LLM to parse application layer by selecting protocol filter in the analysis (just like how we would do in wireshark) .
I just created this project based on inspiration from similar project called Packet Buddy which used open AI. But if you find this useful and wanna contribute bug fixes, additional features feel free to do so by raising a PR or open issues for me to fix. I intend to work on this as a hobby unless there is some interest in the community.