
Mark M. engineered and expanded a comprehensive suite of detection rules for the sublime-security/sublime-rules repository, focusing on phishing, brand impersonation, and email security. Over five months, he delivered 93 new features by developing and refining YAML-based detection logic, leveraging skills in regular expressions, configuration management, and threat analysis. His work included broadening coverage for impersonation scenarios, enhancing credential phishing detection, and improving trusted domain management to reduce false positives. Mark’s technical approach emphasized maintainable rule templates and metadata consistency, resulting in deeper, more scalable threat detection workflows that strengthened incident response and security hygiene across multiple business domains.

Monthly summary for 2025-10: Delivered a comprehensive set of security rule updates in sublime-rules, focusing on expanding impersonation coverage, strengthening account spoofing and service abuse detection, and improving fraud/ scam detection and reporting. Key outcomes include broader brand impersonation protection across Netflix, DHL, Amazon, FINRA, Robert Half, Microsoft, UHC, PNC Bank, Booking.com, Aquent, and TikTok; new detection capabilities for HTTP header-based spoofing and Cisco Secure Email abuse; enhanced monitoring for credential/phishing and scam scenarios; analytics and visibility improvements via Looker Studio; and metadata/brand consistency improvements to reduce false positives and improve maintainability. The work enhances risk reduction, accelerates triage, and demonstrates proficiency in YAML-based rule development, threat detection engineering, and cross-service collaboration.
Monthly summary for 2025-10: Delivered a comprehensive set of security rule updates in sublime-rules, focusing on expanding impersonation coverage, strengthening account spoofing and service abuse detection, and improving fraud/ scam detection and reporting. Key outcomes include broader brand impersonation protection across Netflix, DHL, Amazon, FINRA, Robert Half, Microsoft, UHC, PNC Bank, Booking.com, Aquent, and TikTok; new detection capabilities for HTTP header-based spoofing and Cisco Secure Email abuse; enhanced monitoring for credential/phishing and scam scenarios; analytics and visibility improvements via Looker Studio; and metadata/brand consistency improvements to reduce false positives and improve maintainability. The work enhances risk reduction, accelerates triage, and demonstrates proficiency in YAML-based rule development, threat detection engineering, and cross-service collaboration.
September 2025 performance summary for sublime-security repositories (2025-09). Delivered a broad set of YAML-based detection rules and impersonation coverage updates across sublime-rules and static-files, driving stronger phishing detection, brand impersonation monitoring, and security hygiene. Key work included: new callback phishing in Yammer and fictitious invoice detection; comprehensive impersonation metadata updates and multi-brand/domain impersonation configurations; expanded brand impersonation coverage for Disney, Vanguard, Booking.com, Squarespace, Robert Half, and other platforms; QR code indicators and related components; enhancements to suspicious financial and credential phishing rules, including fake tax form documents and body extortion indicators; and email deliverability improvements via high-trust domain allowlists. These changes improve detection coverage, reduce false negatives, and strengthen monitoring for targeted attacks across multiple business units.
September 2025 performance summary for sublime-security repositories (2025-09). Delivered a broad set of YAML-based detection rules and impersonation coverage updates across sublime-rules and static-files, driving stronger phishing detection, brand impersonation monitoring, and security hygiene. Key work included: new callback phishing in Yammer and fictitious invoice detection; comprehensive impersonation metadata updates and multi-brand/domain impersonation configurations; expanded brand impersonation coverage for Disney, Vanguard, Booking.com, Squarespace, Robert Half, and other platforms; QR code indicators and related components; enhancements to suspicious financial and credential phishing rules, including fake tax form documents and body extortion indicators; and email deliverability improvements via high-trust domain allowlists. These changes improve detection coverage, reduce false negatives, and strengthen monitoring for targeted attacks across multiple business units.
Month: 2025-08 — Focused on expanding threat coverage and strengthening phishing/imposter detection and brand impersonation workflows across Sublime Rules and Static Files. Delivered extensive YAML content updates, new templates, and domain/trust improvements; added support for self-service content creation and an organization brand names placeholder to enable future expansion. No major bugs fixed this month; efforts were dedicated to feature delivery, template enhancements, and process improvements that reduce detection gaps and accelerate incident response.
Month: 2025-08 — Focused on expanding threat coverage and strengthening phishing/imposter detection and brand impersonation workflows across Sublime Rules and Static Files. Delivered extensive YAML content updates, new templates, and domain/trust improvements; added support for self-service content creation and an organization brand names placeholder to enable future expansion. No major bugs fixed this month; efforts were dedicated to feature delivery, template enhancements, and process improvements that reduce detection gaps and accelerate incident response.
July 2025: Strengthened detection coverage for impersonation, phishing, and domain trust across Sublime Rules and static-files repositories. Delivered numerous YAML updates to indicators and metadata, enabling faster threat intel integration and more accurate detections. Implemented broad high-trust domain list expansions and multi-service impersonation configurations to reduce false positives and improve incident response readiness.
July 2025: Strengthened detection coverage for impersonation, phishing, and domain trust across Sublime Rules and static-files repositories. Delivered numerous YAML updates to indicators and metadata, enabling faster threat intel integration and more accurate detections. Implemented broad high-trust domain list expansions and multi-service impersonation configurations to reduce false positives and improve incident response readiness.
June 2025: Enhancements to impersonation detection with domain exclusions, credential phishing rule expansion for e-signature/doc sharing services, and Chrome PDF attachment detection refinements, all in the sublime-security/sublime-rules repo. These updates improve detection coverage, reduce false positives, and strengthen defense-in-depth.
June 2025: Enhancements to impersonation detection with domain exclusions, credential phishing rule expansion for e-signature/doc sharing services, and Chrome PDF attachment detection refinements, all in the sublime-security/sublime-rules repo. These updates improve detection coverage, reduce false positives, and strengthen defense-in-depth.
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