projectdiscovery/nuclei-templates
Oct 2025 – Oct 2025
1 Month active
Languages Used
YAML
Technical Skills
YAMLdata extractionregexsecurity testingvulnerability assessment
Hamed Salimian
PROFILE
Hamed Salimian
During October 2025, snbig developed a detection template for CVE-2025-27915 in the Zimbra Classic Web Client within the projectdiscovery/nuclei-templates repository. The work focused on building a YAML-based template that accurately identifies vulnerable version ranges and enriches vulnerability metadata for improved management and triage. snbig applied regex and data extraction techniques to refine version detection, reducing false positives and enhancing operational reliability. The template incorporated comprehensive CVSS and EPSS data, supporting more effective vulnerability assessment. Validation against real scan samples demonstrated attention to accuracy and depth, resulting in a robust tool for detecting actively exploited zero-day vulnerabilities in production environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
90
Activity Months1
Your Network
247 peopleShared Repositories
247
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Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly overview for nuclei-templates focusing on CVE-2025-27915 detection in Zimbra Classic Web Client. Delivered initial detection template with vulnerable version ranges and rich vulnerability metadata, followed by a refinement pass to improve accuracy and reduce false positives. This work enhances vulnerability management readiness and incident triage capabilities while demonstrating strong regex-based detection, metadata enrichment, and validation against sample scan results.
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly overview for nuclei-templates focusing on CVE-2025-27915 detection in Zimbra Classic Web Client. Delivered initial detection template with vulnerable version ranges and rich vulnerability metadata, followed by a refinement pass to improve accuracy and reduce false positives. This work enhances vulnerability management readiness and incident triage capabilities while demonstrating strong regex-based detection, metadata enrichment, and validation against sample scan results.
October 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
YAMLdata extractionregexsecurity testingvulnerability assessment
Repositories Contributed To
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