The web crawling SIEMSIEMantics is a web-enabled SIEM tool that monitors and analyses security events across your digital systems to help detect and respond to threats in real-time.
Programming Language: Python, Date Launched: 2024-02-12
Developed with cybersecurity professionals in mind, SIEMantics combines automated web crawling with comprehensive security event monitoring. This tool addresses the growing challenge of maintaining visibility across increasingly complex digital environments.
The core of SIEMantics is its intelligent crawler that maps websites and web applications, identifying potential vulnerabilities while generating minimal network noise. The collected data feeds into a centralised monitoring system that correlates events across multiple sources to detect patterns that might indicate security threats.
Key features include:
SIEMantics has proven particularly valuable for organisations managing multiple web properties, providing a unified view of security events that would otherwise require multiple specialised tools to monitor effectively.
The project showcases my expertise in Python development, network protocols, and security principles while delivering practical value for modern cybersecurity challenges.
Building SIEMantics presented unique challenges in balancing thorough security scanning with responsible network behavior. I implemented adaptive crawling speeds that respond to server load indicators, ensuring the tool remains non-disruptive even during comprehensive scans.
The system utilises a distributed architecture with independent crawling nodes that report to a central analysis engine. This design allows for parallel processing of multiple domains while maintaining a unified security viewpoint. Data is stored in a purpose-built schema optimised for quick pattern recognition across historical events.
Beyond core Python, the project leverages specialised libraries including BeautifulSoup for HTML parsing, Scrapy for advanced crawling capabilities, and custom-built parsers for various log formats. The visualisation dashboard uses D3.js to render complex security relationships in an intuitive interface.
While maintaining client confidentiality, SIEMantics has helped identify several critical vulnerabilities in production environments that traditional security tools had missed. The correlation engine has proven particularly effective at connecting seemingly unrelated events that, when viewed together, revealed sophisticated attack patterns.
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