{"id":21467001,"url":"https://github.com/vvv-keys/keys-custom-idps","last_synced_at":"2025-03-11T01:28:45.374Z","repository":{"id":220529139,"uuid":"690430827","full_name":"vVv-Keys/keys-custom-idps","owner":"vVv-Keys","description":"This Python script provides a sophisticated botnet detection system that leverages signature-based detection, machine learning algorithms, behavioral analysis, and traffic profiling to identify potential botnet activity in real-time. It also includes advanced alerting capabilities and integration with IP reputation services and SIEM for DETECTION!","archived":false,"fork":false,"pushed_at":"2024-07-14T00:15:40.000Z","size":69,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-07T12:08:05.683Z","etag":null,"topics":["botnet","botnet-detection","botnet-tool","botnet-tools","botnets","cybersecurity","cybersecurity-tools","idps","idpshook","python","python-3","python-script","python3","safety-monitoring","security","security-audit","security-automation","security-tools"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/vVv-Keys.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-09-12T07:22:15.000Z","updated_at":"2024-07-14T00:15:43.000Z","dependencies_parsed_at":"2024-05-19T14:30:30.583Z","dependency_job_id":"cc4a74ac-0046-4c35-ba8f-71bb32c9ccb5","html_url":"https://github.com/vVv-Keys/keys-custom-idps","commit_stats":null,"previous_names":["ceilo/keys-idps","vvv-keys/keys-idps","vvv-keys/keys-botnet-idps"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vVv-Keys%2Fkeys-custom-idps","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vVv-Keys%2Fkeys-custom-idps/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vVv-Keys%2Fkeys-custom-idps/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vVv-Keys%2Fkeys-custom-idps/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vVv-Keys","download_url":"https://codeload.github.com/vVv-Keys/keys-custom-idps/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242954123,"owners_count":20212142,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["botnet","botnet-detection","botnet-tool","botnet-tools","botnets","cybersecurity","cybersecurity-tools","idps","idpshook","python","python-3","python-script","python3","safety-monitoring","security","security-audit","security-automation","security-tools"],"created_at":"2024-11-23T08:16:20.719Z","updated_at":"2025-03-11T01:28:45.330Z","avatar_url":"https://github.com/vVv-Keys.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"```\n\n██ ▄█▀▓█████▓██   ██▓  ██████ \n██▄█▒ ▓█   ▀ ▒██  ██▒▒██    ▒  \n▓███▄░ ▒███    ▒██ ██░░ ▓██▄   \n▓██ █▄ ▒▓█  ▄  ░ ▐██▓░  ▒   ██▒\n▒██▒ █▄░▒████▒ ░ ██▒▓░▒██████▒▒\n▒ ▒▒ ▓▒░░ ▒░ ░  ██▒▒▒ ▒ ▒▓▒ ▒ ░\n░ ░▒ ▒░ ░ ░  ░▓██ ░▒░ ░ ░▒  ░ ░\n░ ░░ ░    ░   ▒ ▒ ░░  ░  ░  ░  \n░  ░      ░  ░░ ░           ░  \n              ░ ░ \n```\n# Botnet Detection System\n\n## This Python script provides a sophisticated botnet detection system that leverages signature-based detection, machine learning algorithms, behavioral analysis, and traffic profiling to identify potential botnet activity in real-time. It also includes advanced alerting capabilities and integration with IP reputation services and SIEM for enhanced threat detection and centralized monitoring.\n\n## Features\n- Signature-based detection: Detects botnet traffic based on dynamically updated signatures.\n- Machine learning integration: Utilizes machine learning algorithms to improve detection accuracy and identify evolving patterns of botnet traffic.\n- Behavioral analysis: Implements behavioral analysis techniques to identify suspicious behavior beyond signature-based detection.\n- Traffic profiling: Develops a traffic profiling system to establish a baseline of normal network behavior and detect anomalies.\n- IP reputation services integration: Integrates with IP reputation services to assess the reputation of IP addresses and block traffic from known malicious sources.\n- Advanced alerting: Enhances email alerts with detailed information, including severity levels, packet analysis summaries, and recommended actions.\n- SIEM integration: Integrates with a Security Information and Event Management (SIEM) system for centralized monitoring and better incident response capabilities.\n- Multi-threaded processing: Optimizes packet processing by performing real-time analysis in a separate thread to handle large volumes of traffic more efficiently.\n- Traffic visualization: Visualizes traffic profiling using matplotlib to provide insights into network activity, making it easier to identify patterns and anomalies visually.\n- Dynamic signature updates: Periodically updates botnet signatures from an external source to ensure the detection system remains up-to-date with the latest threats.\n\n## Dependencies\n- Python 3.x\n- Scapy\n- Matplotlib (for traffic visualization)\n\n## Usage\n1. Ensure Python 3.x, Scapy, and Matplotlib are installed on your system.\n2. Run the script `botnet_detection.py`.\n3. Monitor the output for detected botnet activity and alerts.\n\n## Configuration\n- Modify the botnet signatures dynamically by implementing a mechanism to update signatures from external sources or databases.\n- Configure machine learning models and behavioral analysis techniques as per requirements.\n- Adjust the traffic profiling system parameters to fine-tune anomaly detection.\n\n## License\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Acknowledgments\n- This script was developed for educational and research purposes to demonstrate advanced botnet detection techniques.\n- Special thanks to the contributors and the Scapy development team for their valuable contributions.\n\n# CONTRIBUTORS WELCOME! HELP US MAKE THIS BOTNET DETECTION SYSTEM EVEN MORE EFFECTIVE AND ROBUST.\n\n# If you find this project useful or interesting, please leave a star ⭐ to support further development to make this script more sophisticated and worthwhile.....\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvvv-keys%2Fkeys-custom-idps","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvvv-keys%2Fkeys-custom-idps","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvvv-keys%2Fkeys-custom-idps/lists"}