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Brandon 2: Brandon Harder

PROFILE

Brandon 2: Brandon Harder

Webster engineered and refined detection rules for the sublime-security/sublime-rules repository, focusing on email security and threat detection over five months. Leveraging YAML and regular expressions, Webster enhanced impersonation, scam, and credential phishing detection by tuning rule logic, expanding keyword coverage, and optimizing sender profile lookups. Their work included reducing false positives through trusted-domain exclusions and precise regex adjustments, such as whole-word matching for sensitive terms. Each change was delivered with clear version control and minimal risk, resulting in improved detection accuracy, reduced alert fatigue, and streamlined triage for security operations. The solutions demonstrated depth in detection engineering and maintainability.

Overall Statistics

Feature vs Bugs

71%Features

Repository Contributions

8Total
Bugs
2
Commits
8
Features
5
Lines of code
80
Activity Months5

Work History

September 2025

2 Commits • 2 Features

Sep 1, 2025

September 2025 monthly summary for sublime-security/sublime-rules. This month focused on two high-value feature refinements to improve detection accuracy and reduce alert noise in security operations. Key features delivered: - SharePoint secure file linking detection rule refinement: switched sender lookup from profile.by_sender() to profile.by_sender_email(), increasing accuracy in identifying potentially malicious or unsolicited file sharing. (Commit: 81f4c3096039af651719585c12f2a10babdf2392; related to #3172) - Credential phishing detection regex refinement: refined rule to ensure 'w2' is matched as a whole word, reducing false positives from substrings in financial/urgent subject lines in emails. (Commit: 73dd8975ec20fff3b21dbe23d604b8015531d9c4; related to #3197) Major bugs fixed: - No critical defects reported this month; efforts concentrated on targeted rule refinements with low-risk, CI-friendly changes. Overall impact and accomplishments: - Improved detection precision and quality of alerts, enabling faster triage and reducing operator fatigue. - Changes are YAML rule updates with clear versioning and traceability, ready for review and deployment with minimal risk. Technologies/skills demonstrated: - YAML-based rule configuration and rule-logic improvements - Regex refinement for high-precision matching - Sender profile lookup optimization - Thorough commit-level traceability and documentation (referencing #3172 and #3197)

August 2025

2 Commits • 1 Features

Aug 1, 2025

For 2025-08, delivered major enhancements to the Enhanced Scam and Credential Phishing Detection Rules in sublime-security/sublime-rules. Consolidated two improvements into one feature, expanding keyword coverage, language patterns, attachment filtering, and link-analysis for credential phishing (including 'sign in' display text) to improve detection accuracy and coverage for email-based scams.

July 2025

2 Commits • 2 Features

Jul 1, 2025

July 2025 monthly summary for sublime-rules: Focused on strengthening impersonation and scam detection through DMARC-based checks and expanded phrase matching. Delivered two YAML-rule enhancements with clear commit traceability, improving detection accuracy and reducing risk from phishing and fraud.

April 2025

1 Commits

Apr 1, 2025

April 2025 monthly summary for sublime-security/sublime-rules: targeted bug fix to QR code detection; no new features delivered this month; improvements to detection accuracy and alert quality through trusted-domain exclusions.

March 2025

1 Commits

Mar 1, 2025

March 2025: Focused rule maintenance in sublime-security/sublime-rules to improve impersonation detection accuracy and reduce alert noise. Implemented a precise domain exclusion for legitimate traffic, ensuring Amazon Music domains are not flagged by impersonation checks, thereby increasing operator confidence and triage efficiency while preserving detection coverage.

Activity

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Quality Metrics

Correctness80.0%
Maintainability87.6%
Architecture77.6%
Performance85.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

YAML

Technical Skills

Detection EngineeringDetection Rule DevelopmentDetection Rule EngineeringEmail SecurityRegular ExpressionsRule DevelopmentRule EngineeringSecuritySecurity AnalysisSecurity EngineeringSecurity Rule DevelopmentThreat DetectionYAML

Repositories Contributed To

1 repo

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

sublime-security/sublime-rules

Mar 2025 Sep 2025
5 Months active

Languages Used

YAML

Technical Skills

SecurityThreat DetectionDetection Rule EngineeringSecurity AnalysisDetection Rule DevelopmentEmail Security

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