sublime-security/sublime-rules
Dec 2025 – Feb 2026
3 Months active
Languages Used
YAML
Technical Skills
YAML configurationrule creationsecurity analysisemail filteringregexsecurity rules development
John Farina
PROFILE
John Farina
John F. developed and enhanced security detection rules for the sublime-security/sublime-rules repository, focusing on email and cloud storage threat detection over a three-month period. He authored and refined YAML-based rules to identify phishing, brand impersonation, romance scams, and credential theft, leveraging regex and security analysis to improve detection accuracy and reduce false positives. His work included targeted rule updates for PDF artifact detection, VIP impersonation, and fraudulent hotel booking workflows, addressing evolving attack vectors. Through cross-team collaboration and maintainable YAML configurations, John delivered features that expanded detection coverage and enabled earlier alerts, strengthening customer defenses against sophisticated email threats.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
4
Lines of code
307
Activity Months3
Your Network
49 peopleWork History
February 2026
4 Commits • 2 Features
Feb 1, 2026February 2026 — Key security rule updates delivered for Sublime Rules providing stronger detection of phishing and credential theft in email and cloud storage contexts. Email Security Detection Rules Enhancements introduce rules for spoofed hotel booking URLs, VIP impersonation with reply-to mismatch, broader subject matching, and aged inbound emails to reveal undisclosed recipients in link-free file hosting. Cloud Storage Credential Theft Detection Enhancements refine impersonation detection with more precise patterns to better identify threats. These changes expand detection coverage, enable earlier alerts, and strengthen defense posture for customers relying on email and cloud services.
4 Commits • 2 Features
Feb 1, 2026February 2026 — Key security rule updates delivered for Sublime Rules providing stronger detection of phishing and credential theft in email and cloud storage contexts. Email Security Detection Rules Enhancements introduce rules for spoofed hotel booking URLs, VIP impersonation with reply-to mismatch, broader subject matching, and aged inbound emails to reveal undisclosed recipients in link-free file hosting. Cloud Storage Credential Theft Detection Enhancements refine impersonation detection with more precise patterns to better identify threats. These changes expand detection coverage, enable earlier alerts, and strengthen defense posture for customers relying on email and cloud services.
February 2026
January 2026
3 Commits • 1 Features
Jan 1, 2026January 2026: Delivered targeted rule-based security improvements in sublime-rules to strengthen protection against phishing, romance scam, and business email compromise (BEC) hotel booking fraud. Implemented and refined YAML-defined detection rules that tighten control over suspicious workflows, enabling proactive blocking and faster incident response. The work reduces risk exposure for customers and demonstrates strong, collaborative security engineering.
January 2026
3 Commits • 1 Features
Jan 1, 2026January 2026: Delivered targeted rule-based security improvements in sublime-rules to strengthen protection against phishing, romance scam, and business email compromise (BEC) hotel booking fraud. Implemented and refined YAML-defined detection rules that tighten control over suspicious workflows, enabling proactive blocking and faster incident response. The work reduces risk exposure for customers and demonstrates strong, collaborative security engineering.
December 2025
3 Commits • 1 Features
Dec 1, 2025Monthly performance summary for 2025-12: Detection rules enhancements for phishing defenses in sublime-rules, with three targeted improvements and associated commits. Emphasis on business value: stronger brand impersonation detection, PDF artifact detection, and reduced false positives in credential phishing; collaboration across teams; demonstrated YAML rule authoring and rapid delivery.
3 Commits • 1 Features
Dec 1, 2025Monthly performance summary for 2025-12: Detection rules enhancements for phishing defenses in sublime-rules, with three targeted improvements and associated commits. Emphasis on business value: stronger brand impersonation detection, PDF artifact detection, and reduced false positives in credential phishing; collaboration across teams; demonstrated YAML rule authoring and rapid delivery.
December 2025
Activity
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Quality Metrics
Correctness92.0%
Maintainability88.0%
Architecture90.0%
Performance88.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
YAML configurationemail filteringemail security analysisfraud detectionregexrule creationsecurity analysissecurity rule developmentsecurity rules developmentthreat detection
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