zwitschi
9f8ab0f61c
- Implemented a new utility for querying WHOIS information and consolidating IP addresses by subnet. - Added caching mechanism for WHOIS responses to improve performance. - Introduced functions for loading and saving the WHOIS cache, querying subnets, and consolidating IPs based on a threshold. feat: create Flask web UI for intrusion detection system - Developed a Flask web application to manage the intrusion detection system. - Implemented routes for scanning, reports, blocklist management, and firewall configuration. - Added helper functions for reading files and handling requests. feat: define routes for web UI - Registered routes for various web pages and API endpoints in the Flask application. - Implemented functionality for scanning, reporting, blocklist management, and firewall state retrieval. feat: implement background scan runner for web UI - Created a background scan runner to handle scan jobs in a separate thread. - Managed an in-memory job store for tracking scan jobs and their statuses. - Added persistence for scan jobs to maintain state across application restarts. chore: update start script for Flask application - Enhanced the PowerShell start script to check for the existence of the virtual environment. - Added comments and structured the script for better readability and usability.
14 lines
699 B
Python
14 lines
699 B
Python
# Intrusion Detection System — shared utilities
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#
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# Modules:
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# constants.py central configuration, paths, env vars
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# files.py filesystem & I/O helpers
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# ip_utils.py IP address parsing, validation, whitelist lookup
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# models.py data models (Request, IPStats) + aggregate()
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# reporting.py text rendering, table formatting
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# utils.py shared CLI arg parser
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# whitelists.py whitelist CIDR download, caching, validation
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# whois.py WHOIS subnet queries, IP consolidation
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# blocklist_history.py git-backed cumulative blocklist reconstruction
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# retention.py report file retention & pruning
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