https://github.com/jovicdev97/Ollama-Phishing-Framework
https://github.com/jovicdev97/Ollama-Phishing-Framework
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/jovicdev97/Ollama-Phishing-Framework
- Owner: jovicdev97
- Created: 2024-11-04T23:43:12.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-12-07T18:02:20.000Z (5 months ago)
- Last Synced: 2024-12-07T19:17:25.553Z (5 months ago)
- Language: Python
- Homepage:
- Size: 11.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
simple flask app I use test phishing detection in emails using two pre-trained models. Full credits go to the authors of the models used in this educational example.
- Utilizes two models for phishing detection:
- **Model 1:** Llama-Phishsense-1B (by AcuteShrewdSecurity)
- **Model 2:** bert-finetuned-phishing (by E. Alvarado)
## Credits
- **Model 1:** [Llama-Phishsense-1B](https://huggingface.co/AcuteShrewdSecurity/Llama-Phishsense-1B)
Author: AcuteShrewdSecurity
- **Model 2:** [bert-finetuned-phishing](https://huggingface.co/ealvaradob/bert-finetuned-phishing?library=transformers)
Author: E. Alvarado
## Info
full_analysis_with_*_model.py files = full analysis with jsonl data in /examples/*.jsonl
webgui.py = user input possible
examples folder = json data for full_analysis
comparison_visualizer.py = graphical comparison for both model results