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https://github.com/gbikram/docparse
Document/Email parser for IOCs
https://github.com/gbikram/docparse
cybersecurity email indicators infosec ioc malware ole osint python scanner
Last synced: about 2 months ago
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Document/Email parser for IOCs
- Host: GitHub
- URL: https://github.com/gbikram/docparse
- Owner: gbikram
- Created: 2019-12-06T02:11:03.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2023-01-24T02:30:36.000Z (almost 2 years ago)
- Last Synced: 2024-07-30T19:15:11.137Z (6 months ago)
- Topics: cybersecurity, email, indicators, infosec, ioc, malware, ole, osint, python, scanner
- Language: Vue
- Homepage:
- Size: 75.2 MB
- Stars: 3
- Watchers: 1
- Forks: 2
- Open Issues: 12
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Parse files for malicious indicators
## Run with Docker on localhost
* mkdir pyserve/uploadedfiles
* unzip pyserve/phishml/pretrained_models/document-frequency-dictionary.zip
* create client/.env - Add VUE_APP_API=http://localhost:80/api
* Build and run with docker - docker-compose up --build![Design](https://github.com/ghurabikram/DocParse/blob/master/docs/architecture.png)
### Troubleshooting:
* https://medium.com/cleversonder/from-zero-to-hero-with-vue-advanced-components-parcel-dev-tools-fab980a62259
* https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/
* https://docs.python.org/3/library/venv.html