Cyb3rWard0g/HELK
HELK
HELK is a containerized security information and event management environment and threat hunting platform. It provides a security-focused deployment of the ELK stack, combining Elasticsearch, Logstash, and Kibana into a specialized platform for investigating logs and discovering hidden patterns in network and system security data.
The project functions as a security data science suite, integrating interactive computational notebooks and distributed processing tools to run machine learning and graph analytics on security logs. This allows for the identification of hidden attack patterns and anomalies through graph-based relationship mapping.
The platform covers a broad surface of security operations, including SIEM deployment, log aggregation, and indexing-based log search. It utilizes a container-based infrastructure to deploy the full toolset for security log analysis and threat hunting.
Features
- SIEM Deployments - Sets up a centralized system for collecting, indexing, and visualizing security events across an organization.
- Security Data Science Suites - Integrates interactive notebooks and distributed processing tools for running machine learning on security logs.
- Security Log Analytics - Runs machine learning and graph analytics on security data using notebooks and distributed processing.
- Log Indexing Systems - Organizes unstructured security logs into a searchable index for fast retrieval and complex query execution.
- Security Analysis Platforms - Provides a security-focused deployment of the ELK stack for threat hunting and log analysis.
- Security Data Science - Utilizes machine learning and graph analytics on security datasets to discover hidden attack patterns and anomalies.
- Security Relationship Mappings - Maps connections between security entities to identify hidden attack patterns and lateral movement during investigations.
- Interactive Threat Hunt Notebooks - Integrates interactive computational notebooks for running analytics and validation queries during exploratory threat hunting.
- Threat Hunting Infrastructures - Deploys a pre-configured security environment via containers to quickly start analyzing network and host data.
- Containerized SIEM Platforms - Provides a pre-configured set of Docker containers that deploy a full security information and event management stack.
- Log Analyzers - Hunts for threats and investigates logs using a specialized stack of indexing, visualization, and ingestion tools.
- Log Analysis - Searches and investigates system logs using the ELK stack to identify threats and suspicious activity.
- Log Aggregation Pipelines - Collects and transforms raw security events through an ingestion pipeline before indexing them for search.
- Distributed Data Processing - Spreads heavy machine learning and graph analytic workloads across multiple nodes to handle large security datasets.
- Container Deployment - Provides a containerized deployment of the entire security toolset to ensure consistent environment setup.
- Deployment Infrastructure - Provides the underlying containerized technical stack required to host the security analysis environment.
- Detection Labs - Pre-configured ELK stack for advanced threat hunting analytics.
- Forensics and Incident Response - Hunting ELK stack with advanced analytic capabilities.
- Detection and Hunting Tools - An advanced hunting platform based on the Elastic stack.
- Incident Response Frameworks - Integrated platform for threat hunting and data analysis.
- Threat Hunting Operations - Stack for threat hunting using elasticsearch and analytics integrations.
Star history
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