Cyb3rWard0g/HELK
HELK
HELK este un mediu containerizat de gestionare a informațiilor și evenimentelor de securitate (SIEM) și o platformă de threat hunting. Acesta oferă o implementare axată pe securitate a stack-ului ELK, combinând Elasticsearch, Logstash și Kibana într-o platformă specializată pentru investigarea log-urilor și descoperirea modelelor ascunse în datele de securitate ale rețelei și sistemului.
Proiectul funcționează ca o suită de știință a datelor de securitate, integrând notebook-uri computaționale interactive și instrumente de procesare distribuită pentru a rula machine learning și analize grafice pe log-urile de securitate. Acest lucru permite identificarea modelelor de atac ascunse și a anomaliilor prin maparea relațiilor bazată pe grafuri.
Platforma acoperă o suprafață largă a operațiunilor de securitate, inclusiv implementarea SIEM, agregarea log-urilor și căutarea bazată pe indexare. Utilizează o infrastructură bazată pe containere pentru a implementa setul complet de instrumente pentru analiza log-urilor de securitate și 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.
