sublime-security/sublime-rules
Sep 2025 – Feb 2026
2 Months active
Languages Used
YAML
Technical Skills
Detection EngineeringRule RefinementYAML configurationsecurity rule development
Eric Sim
PROFILE
Eric Sim
Eric Sim contributed to the sublime-security/sublime-rules repository by delivering targeted improvements in detection engineering and rule refinement using YAML. He standardized detection rule field names, refactoring the way screenshot data is accessed to improve maintainability and reduce onboarding time for new engineers. In a subsequent feature, Eric enhanced PDF attachment risk detection by raising the severity level for self-sent PDFs with minimal content, supporting more effective triage. His work emphasized code consistency, traceability, and low-risk deployment, leveraging version control best practices. Throughout, Eric focused on maintainable security rule development, ensuring stable data schemas and clear audit trails for future enhancements.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
254
Activity Months2
Your Network
49 peopleWork History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for sublime-security/sublime-rules: Delivered a targeted risk-detection enhancement to strengthen PDF attachment security. Elevated the detection severity for PDFs sent by the same sender with minimal content from medium to high, improving risk signaling and triage efficiency. Maintained auditability by tying changes to issue #3987 and including a co-authored commit for accountability.
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for sublime-security/sublime-rules: Delivered a targeted risk-detection enhancement to strengthen PDF attachment security. Elevated the detection severity for PDFs sent by the same sender with minimal content from medium to high, improving risk signaling and triage efficiency. Maintained auditability by tying changes to issue #3987 and including a co-authored commit for accountability.
February 2026
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Focused on improving data access reliability and maintainability in the sublime-rules repository by standardizing detection rule field names. Delivered a key refactor that aligns how screenshot data is accessed across rules, reducing confusion and onboarding time while lowering runtime errors. Key deliverables: - Detection Rule Field Name Standardization: Renamed beta.message_screenshot to file.message_screenshot across detection rules to standardize the naming convention for accessing screenshot data within the detection logic. This aligns with the project’s data-access patterns and supports easier rule authoring and review. - Commit reference: 356388aabc090f86a8abdca634135652b2f5903a ("rename beta.message_screenshot to file.message_screenshot (#3255)"). Impact and business value: - Increased maintainability and consistency across detection rules, reducing debugging time and risk of misaccessing screenshot data. - Facilitates onboarding of new engineers and smoother future feature expansions that rely on standardized data fields. - Sets the stage for future enhancements in rule authoring and data extraction pipelines with a clear, stable data schema. Technologies/skills demonstrated: - Code refactoring and naming standardization - Version control hygiene and commit traceability - Cross-rule consistency and maintainability in a detection-engine context Major bugs fixed: None reported in September 2025 for sublime-rules; this work was a targeted refactor to reduce technical debt and improve stability.
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Focused on improving data access reliability and maintainability in the sublime-rules repository by standardizing detection rule field names. Delivered a key refactor that aligns how screenshot data is accessed across rules, reducing confusion and onboarding time while lowering runtime errors. Key deliverables: - Detection Rule Field Name Standardization: Renamed beta.message_screenshot to file.message_screenshot across detection rules to standardize the naming convention for accessing screenshot data within the detection logic. This aligns with the project’s data-access patterns and supports easier rule authoring and review. - Commit reference: 356388aabc090f86a8abdca634135652b2f5903a ("rename beta.message_screenshot to file.message_screenshot (#3255)"). Impact and business value: - Increased maintainability and consistency across detection rules, reducing debugging time and risk of misaccessing screenshot data. - Facilitates onboarding of new engineers and smoother future feature expansions that rely on standardized data fields. - Sets the stage for future enhancements in rule authoring and data extraction pipelines with a clear, stable data schema. Technologies/skills demonstrated: - Code refactoring and naming standardization - Version control hygiene and commit traceability - Cross-rule consistency and maintainability in a detection-engine context Major bugs fixed: None reported in September 2025 for sublime-rules; this work was a targeted refactor to reduce technical debt and improve stability.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
Detection EngineeringRule RefinementYAML configurationsecurity rule development
Repositories Contributed To
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