
Over four months, Thomas Conttre delivered 24 feature enhancements across Splunk’s security_content and attack_data repositories, focusing on threat detection, analytics, and data engineering. He engineered detection rules for malware such as PXA Stealer and Meduza Stealer, expanded endpoint and file permission analytics, and integrated MITRE ATT&CK mappings to improve coverage and analyst context. Using YAML, Splunk SPL, and Jinja, Thomas developed new datasets and automated workflows, including headless operation modes for analytics tools. His work emphasized maintainability, cross-repository alignment, and automation readiness, resulting in deeper detection fidelity, streamlined reporting, and more actionable security insights for defenders and analysts.

February 2025 was focused on delivering substantive feature work across two Splunk repositories, with emphasis on analytics fidelity, automation readiness, and expanded threat coverage. Key outcomes include Analytics Enhancement in splunk/security_content to improve data collection, processing, and reporting; headless operation modes for Bee to enable non-GUI automation; and expansion of the attack_data dataset with new datasets and YAML configurations for multiple techniques. While no explicitly documented critical bugs were listed for this period, reliability and automation improvements were achieved through these changes. The work translates to stronger security insights, faster reporting, and richer defense simulations, driving business value through better risk visibility and repeatable security workflows.
February 2025 was focused on delivering substantive feature work across two Splunk repositories, with emphasis on analytics fidelity, automation readiness, and expanded threat coverage. Key outcomes include Analytics Enhancement in splunk/security_content to improve data collection, processing, and reporting; headless operation modes for Bee to enable non-GUI automation; and expansion of the attack_data dataset with new datasets and YAML configurations for multiple techniques. While no explicitly documented critical bugs were listed for this period, reliability and automation improvements were achieved through these changes. The work translates to stronger security insights, faster reporting, and richer defense simulations, driving business value through better risk visibility and repeatable security workflows.
Summary for 2025-01: Delivered substantial detections and rule enhancements across Windows and Linux, expanded threat intel coverage, and extended the attack data repository. Implemented nine feature updates in splunk/security_content and two commits expanding T1036 datasets in splunk/attack_data. Improvements span endpoint security, file/dir permissions detection, service termination analytics, and process execution detections, with updated MITRE mappings and scoring. Result: stronger detection coverage, reduced false positives, and more actionable telemetry for defenders.
Summary for 2025-01: Delivered substantial detections and rule enhancements across Windows and Linux, expanded threat intel coverage, and extended the attack data repository. Implemented nine feature updates in splunk/security_content and two commits expanding T1036 datasets in splunk/attack_data. Improvements span endpoint security, file/dir permissions detection, service termination analytics, and process execution detections, with updated MITRE mappings and scoring. Result: stronger detection coverage, reduced false positives, and more actionable telemetry for defenders.
December 2024 performance summary: Delivered substantial threat-detection and data-connectivity improvements across Splunk security_content and attack_data repositories. Key features include Meduza Stealer detection content and VaultCli credential access rule; Crypto Stealer detection updates with analytics tagging; endpoint detections for RAR SFX obfuscated files, quser logoff, remote command execution, plus refactoring of related RAR SFX/logoff rules; Windows File/Directory Permissions detection for ICACLS-based permission inheritance enablement and removal; Linux Auditd data source enhancement to link auditd sources to GitHub rules; XorDdos detections updates and analytics; and expanded Attack Range datasets covering multiple techniques (T1021.006, T1027.013, T1531, T1102.002, T1222.001) for improved simulation and security analysis. Impact: expanded coverage, better detection fidelity, faster analyst context, and stronger data pipelines between data sources and rules. Technologies: threat-detection engineering, MITRE ATT&CK mappings, analytics storytelling, data-source integration, and cross-OS rule development.
December 2024 performance summary: Delivered substantial threat-detection and data-connectivity improvements across Splunk security_content and attack_data repositories. Key features include Meduza Stealer detection content and VaultCli credential access rule; Crypto Stealer detection updates with analytics tagging; endpoint detections for RAR SFX obfuscated files, quser logoff, remote command execution, plus refactoring of related RAR SFX/logoff rules; Windows File/Directory Permissions detection for ICACLS-based permission inheritance enablement and removal; Linux Auditd data source enhancement to link auditd sources to GitHub rules; XorDdos detections updates and analytics; and expanded Attack Range datasets covering multiple techniques (T1021.006, T1027.013, T1531, T1102.002, T1222.001) for improved simulation and security analysis. Impact: expanded coverage, better detection fidelity, faster analyst context, and stronger data pipelines between data sources and rules. Technologies: threat-detection engineering, MITRE ATT&CK mappings, analytics storytelling, data-source integration, and cross-OS rule development.
November 2024 performance summary: Delivered three strategic feature enhancements across two Splunk repositories, strengthening detection coverage and data assets for adversary techniques and threat analysis. Key features delivered: (1) PXA Stealer Malware Detection Coverage in splunk/security_content, adding detection rules, narrative, and a pxa_stealer.yml with repository tag 'PXA Stealer' (commit 02cb973048ebece2474d864f417d997226a9daac). (2) Windows Threat Detection Rule Enhancements in splunk/security_content, refining searches, updating dates/descriptions, and incrementing version numbers (commits 1761f3dbe4caa5bed989718328d6f14aacfae6a4 and 4470cd32822e5d4834c96242364395b7e21f8e0f). (3) VaultCLI Credentials Dataset for Attack Range in splunk/attack_data, adding a new VaultCLI credentials dataset with a log file and YAML configuration to support ATT&CK technique T1555.004 (commit ac891624024e8f333612363dc0080b40a9f33330). Major bugs fixed: none reported; activities centered on feature delivery and ongoing maintenance. Overall impact and accomplishments: improved threat visibility and analyst productivity through richer detection content and data assets, enabling faster investigations and more accurate MITRE ATT&CK coverage. Technologies/skills demonstrated: threat-detection rule engineering (YAML), narrative tagging and metadata curation, dataset provisioning, versioning/maintenance, and cross-repo collaboration."
November 2024 performance summary: Delivered three strategic feature enhancements across two Splunk repositories, strengthening detection coverage and data assets for adversary techniques and threat analysis. Key features delivered: (1) PXA Stealer Malware Detection Coverage in splunk/security_content, adding detection rules, narrative, and a pxa_stealer.yml with repository tag 'PXA Stealer' (commit 02cb973048ebece2474d864f417d997226a9daac). (2) Windows Threat Detection Rule Enhancements in splunk/security_content, refining searches, updating dates/descriptions, and incrementing version numbers (commits 1761f3dbe4caa5bed989718328d6f14aacfae6a4 and 4470cd32822e5d4834c96242364395b7e21f8e0f). (3) VaultCLI Credentials Dataset for Attack Range in splunk/attack_data, adding a new VaultCLI credentials dataset with a log file and YAML configuration to support ATT&CK technique T1555.004 (commit ac891624024e8f333612363dc0080b40a9f33330). Major bugs fixed: none reported; activities centered on feature delivery and ongoing maintenance. Overall impact and accomplishments: improved threat visibility and analyst productivity through richer detection content and data assets, enabling faster investigations and more accurate MITRE ATT&CK coverage. Technologies/skills demonstrated: threat-detection rule engineering (YAML), narrative tagging and metadata curation, dataset provisioning, versioning/maintenance, and cross-repo collaboration."
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