projectdiscovery/nuclei-templates
Jan 2026 – Jun 2026
4 Months active
Languages Used
YAMLGoJavaScriptPythonShell
Technical Skills
YAMLYAML configurationdata validationregexsecurity analysissecurity assessment
Eren-Akdag
PROFILE
Eren-akdag
Worked on the projectdiscovery/nuclei-templates repository over four months, focusing on enhancing vulnerability detection and reducing false positives in security templates. Delivered new CVE entries and refined detection logic for components such as Vite, PDF.js, UpdraftPlus, and Trend Micro Apex One, using YAML configuration and pattern matching to improve accuracy. Automated CVE metadata workflows and reporting templates, streamlining triage and collaboration between security and engineering teams. Applied Python scripting and Git-based traceability to ensure safe, targeted changes. The work strengthened web application security monitoring, improved alert quality, and reduced manual effort for vulnerability assessment and incident response in production environments.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
15Total
Bugs
3
Commits
15
Features
3
Lines of code
5,301,044
Activity Months4
Your Network
262 peopleShared Repositories
262
Work History
June 2026
2 Commits • 1 Features
Jun 1, 2026June 2026: Project nuclei-templates delivered targeted security detection improvements and bug fixes that tighten real-world coverage while reducing noise. The work focused on UpdraftPlus and WAF modules, aligning detections with actual exploitation patterns and robust cookie matching. This enhanced monitoring directly improves client security posture and incident triage efficiency.
2 Commits • 1 Features
Jun 1, 2026June 2026: Project nuclei-templates delivered targeted security detection improvements and bug fixes that tighten real-world coverage while reducing noise. The work focused on UpdraftPlus and WAF modules, aligning detections with actual exploitation patterns and robust cookie matching. This enhanced monitoring directly improves client security posture and incident triage efficiency.
June 2026
May 2026
1 Commits
May 1, 2026May 2026 monthly summary for projectdiscovery/nuclei-templates: focused on detection quality improvements. No new features delivered; primary work was a bug fix to tighten the Trend Micro Apex One login panel matcher to reduce false positives. This improves detection reliability, reduces alert noise, and assists faster triage. All changes were isolated to a single commit (b58f9ae1faee25b343f93594069a98ff3e77dbf2) to ensure traceability and safe rollout.
May 2026
1 Commits
May 1, 2026May 2026 monthly summary for projectdiscovery/nuclei-templates: focused on detection quality improvements. No new features delivered; primary work was a bug fix to tighten the Trend Micro Apex One login panel matcher to reduce false positives. This improves detection reliability, reduces alert noise, and assists faster triage. All changes were isolated to a single commit (b58f9ae1faee25b343f93594069a98ff3e77dbf2) to ensure traceability and safe rollout.
March 2026
7 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary — Project: nuclei-templates. Key delivery: CVE reporting templates and workflows, including new issue templates for enhancements, false positives, and false negatives, plus scripts for updating EPSS scores and KEV tagging; automation of CVE metadata workflows to streamline triage and reporting. Major fixes: false positives in vulnerability detection across components; refined YAML detection for CVE-2002-1131; prevented false positives in Oracle E-Business Suite detection; tightened Mercurial ignore rules to reduce file-disclosure false positives. Impact: improved CVE reporting UX, more reliable vulnerability data, reduced manual triage time, and stronger collaboration between security and engineering teams. Technologies/skills: template-driven workflows, YAML detection tuning, Mercurial ignore configuration, automation scripting for EPSS/KEV data, and robust commit-driven changes.
7 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary — Project: nuclei-templates. Key delivery: CVE reporting templates and workflows, including new issue templates for enhancements, false positives, and false negatives, plus scripts for updating EPSS scores and KEV tagging; automation of CVE metadata workflows to streamline triage and reporting. Major fixes: false positives in vulnerability detection across components; refined YAML detection for CVE-2002-1131; prevented false positives in Oracle E-Business Suite detection; tightened Mercurial ignore rules to reduce file-disclosure false positives. Impact: improved CVE reporting UX, more reliable vulnerability data, reduced manual triage time, and stronger collaboration between security and engineering teams. Technologies/skills: template-driven workflows, YAML detection tuning, Mercurial ignore configuration, automation scripting for EPSS/KEV data, and robust commit-driven changes.
March 2026
January 2026
5 Commits • 1 Features
Jan 1, 2026January 2026 performance summary for projectdiscovery/nuclei-templates. Focused on sharpening detection accuracy and expanding CVE coverage. Delivered targeted bug fixes to reduce false positives in core vulnerability templates (Vite, CVE-2022-1580, PDF.js) and added a high-impact CVE entry for n8n RCE. These changes improved alert quality, shortened triage cycles, and strengthened the vulnerability catalog for proactive remediation. Technologies and skills demonstrated include vulnerability detection tuning, version-based filtering, regex extraction, content-spoofing mitigation, CVE documentation, and commit-driven collaboration.
January 2026
5 Commits • 1 Features
Jan 1, 2026January 2026 performance summary for projectdiscovery/nuclei-templates. Focused on sharpening detection accuracy and expanding CVE coverage. Delivered targeted bug fixes to reduce false positives in core vulnerability templates (Vite, CVE-2022-1580, PDF.js) and added a high-impact CVE entry for n8n RCE. These changes improved alert quality, shortened triage cycles, and strengthened the vulnerability catalog for proactive remediation. Technologies and skills demonstrated include vulnerability detection tuning, version-based filtering, regex extraction, content-spoofing mitigation, CVE documentation, and commit-driven collaboration.
Activity
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Quality Metrics
Correctness90.6%
Maintainability86.6%
Architecture85.4%
Performance86.6%
AI Usage24.0%
Skills & Technologies
Programming Languages
GoJavaScriptPythonShellYAML
Technical Skills
API IntegrationAutomationDevOpsGitHub ActionsPython ScriptingScriptingSecurityYAMLYAML ConfigurationYAML configurationconfiguration managementdata validationfile handlingfirewall detectionpattern matching
Repositories Contributed To
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