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thurrsense

PROFILE

Thurrsense

Arthur Khasanov enhanced subdomain enumeration workflows in open-source security tools by focusing on Netlas API integration and backend reliability. For digininja/theHarvester, he refactored the Netlas subdomain search to pre-count available subdomains, optimize data fetching, and migrate API calls to a more reliable download endpoint, improving both efficiency and accuracy for security investigations. In projectdiscovery/subfinder, Arthur addressed query accuracy by excluding main domains and correcting query formats, reducing false positives in subdomain results. His work, primarily in Go and Python, demonstrated careful attention to API integration, backend development, and network security, delivering targeted improvements with clear, maintainable code changes.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

2Total
Bugs
1
Commits
2
Features
1
Lines of code
58
Activity Months2

Work History

February 2025

1 Commits

Feb 1, 2025

February 2025 monthly summary for projectdiscovery/subfinder: Delivered a critical Netlas Subdomain Query Accuracy fix that excludes the main domain from Netlas results and corrects the query format, significantly improving subdomain retrieval accuracy and reducing false positives. This work enhances data quality for customers relying on Netlas-enabled enumeration and strengthens overall product reliability in the subfinder pipeline. The fix is implemented in netlas.go and committed as 'FIX: query for downloading subdomains in netlas.go' (commit 6cbfed905eea02b3b09bd3848e49ea26fc4c026e). Technologies demonstrated include Go, Netlas integration, bugfix discipline, and careful query validation.

December 2024

1 Commits • 1 Features

Dec 1, 2024

December 2024: Netlas Subdomain Search Enhancement delivered for digininja/theHarvester. Refactored search to count total subdomains before fetching, ensured results respect configured limits, and updated API calls to use the download endpoint for more reliable data retrieval. The changes improve accuracy, reduce unnecessary requests, and speed up data collection for security investigations.

Activity

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Quality Metrics

Correctness85.0%
Maintainability80.0%
Architecture70.0%
Performance75.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

GoPython

Technical Skills

API IntegrationBackend DevelopmentNetwork SecuritySubdomain EnumerationWeb Scraping

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

digininja/theHarvester

Dec 2024 Dec 2024
1 Month active

Languages Used

Python

Technical Skills

API IntegrationNetwork SecurityWeb Scraping

projectdiscovery/subfinder

Feb 2025 Feb 2025
1 Month active

Languages Used

Go

Technical Skills

API IntegrationBackend DevelopmentSubdomain Enumeration

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