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: 3 months ago
JSON representation

Document/Email parser for IOCs

• Host: GitHub
• URL: https://github.com/gbikram/docparse
• Owner: gbikram
• Created: 2019-12-06T02:11:03.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2023-01-24T02:30:36.000Z (over 3 years ago)
• Last Synced: 2025-04-09T01:14:00.745Z (about 1 year ago)
• Topics: cybersecurity, email, indicators, infosec, ioc, malware, ole, osint, python, scanner
• Language: Vue
• Homepage:
• Size: 75.2 MB
• Stars: 2
• 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