
Dom Whewell developed and enhanced security automation and vulnerability detection features across the blacklanternsecurity/bbot and projectdiscovery repositories. He engineered robust archive extraction modules, expanded file-type handling, and integrated GitHub API-driven profile discovery using Python, Java, and YAML. Dom introduced automated Git repository dumping, improved test coverage, and delivered reproducible lab environments for CVE validation with Docker and Compose. His work included refining CI/CD pipelines, implementing advanced error handling, and strengthening code quality through linting and refactoring. These contributions enabled more reliable data extraction, streamlined deployment workflows, and improved the accuracy and coverage of security scanning and vulnerability research.

June 2025: Expanded vulnerability detection coverage and improved template reliability across nuclei-templates and labs. Delivered new CVE detection templates (CVE-2020-12641 and MCP SSE endpoints) and CVE-2017-8046 improvements; fixed OpenAPI linting issue; established a practical lab environment for CVE testing (Roundcube CVE-2020-12641). These changes drive faster detection, better testability, and higher code quality.
June 2025: Expanded vulnerability detection coverage and improved template reliability across nuclei-templates and labs. Delivered new CVE detection templates (CVE-2020-12641 and MCP SSE endpoints) and CVE-2017-8046 improvements; fixed OpenAPI linting issue; established a practical lab environment for CVE testing (Roundcube CVE-2020-12641). These changes drive faster detection, better testability, and higher code quality.
May 2025 highlights across three repositories: bbot, nuclei-templates, and nuclei-templates-labs. Key features delivered include GitHub API integration and profile discovery enhancements, a configurable timeout for gitdumper, and the introduction of CVE-2017-8046 scanning templates, plus a dedicated lab environment for CVE-2017-8046. These efforts improve data retrieval reliability, reduce operational risk during large downloads, expand proactive security scanning coverage, and provide ready-to-use remediation and testing assets. Technologies demonstrated include GraphQL with the GitHub API, domain-based profile discovery, Docker and Docker Compose for labs, YAML templating and Nuclei templates, and enhanced observability via verbose timeout logging.
May 2025 highlights across three repositories: bbot, nuclei-templates, and nuclei-templates-labs. Key features delivered include GitHub API integration and profile discovery enhancements, a configurable timeout for gitdumper, and the introduction of CVE-2017-8046 scanning templates, plus a dedicated lab environment for CVE-2017-8046. These efforts improve data retrieval reliability, reduce operational risk during large downloads, expand proactive security scanning coverage, and provide ready-to-use remediation and testing assets. Technologies demonstrated include GraphQL with the GitHub API, domain-based profile discovery, Docker and Docker Compose for labs, YAML templating and Nuclei templates, and enhanced observability via verbose timeout logging.
March 2025: Delivered a reproducible lab environment for Kong Admin CVE-2020-11710 in the nuclei-templates-labs repository, enabling secure testing and validation of vulnerability detection templates. The lab includes a README with vulnerability details and references, vulnerable setup instructions, and a nuclei test command, plus a docker-compose.yml to deploy a vulnerable Kong Gateway instance. No major bug fixes were completed this month for this repo.
March 2025: Delivered a reproducible lab environment for Kong Admin CVE-2020-11710 in the nuclei-templates-labs repository, enabling secure testing and validation of vulnerability detection templates. The lab includes a README with vulnerability details and references, vulnerable setup instructions, and a nuclei test command, plus a docker-compose.yml to deploy a vulnerable Kong Gateway instance. No major bug fixes were completed this month for this repo.
February 2025 monthly summary for blacklanternsecurity/bbot: Delivered essential capabilities for automated asset discovery and monitoring, including a robust Git Repository Dumper (GitDumper) with recursive download and CODE_REPOSITORY event emission, supported by comprehensive tests and reliability improvements. Introduced TruffleHog Status Logging Enhancements to clearly report current targets and verbosity. These changes improve detection of exposed Git repositories, reduce false positives through idempotent downloads, and enhance observability for security workflows.
February 2025 monthly summary for blacklanternsecurity/bbot: Delivered essential capabilities for automated asset discovery and monitoring, including a robust Git Repository Dumper (GitDumper) with recursive download and CODE_REPOSITORY event emission, supported by comprehensive tests and reliability improvements. Introduced TruffleHog Status Logging Enhancements to clearly report current targets and verbosity. These changes improve detection of exposed Git repositories, reduce false positives through idempotent downloads, and enhance observability for security workflows.
January 2025 monthly summary for blacklanternsecurity/bbot focusing on delivering reliable archive handling, test automation, and validation enhancements across the repository. The month emphasizes improving CI stability and business value through robust data handling, enhanced test coverage, and smarter retry logic.
January 2025 monthly summary for blacklanternsecurity/bbot focusing on delivering reliable archive handling, test automation, and validation enhancements across the repository. The month emphasizes improving CI stability and business value through robust data handling, enhanced test coverage, and smarter retry logic.
December 2024 highlights for blacklanternsecurity/bbot: Delivered substantial unarchive module enhancements with broadened format support (including RAR) and a streamlined extraction flow using OS-level commands, significantly improving installer readiness and user-facing robustness. Fixed a key bug in compression type identification by removing obsolete MIME mappings that caused misclassification and downstream archive handling issues. Strengthened packaging, dependencies, and test alignment to support reliable builds and deployments: added RAR to CORE_DEPS, moved file creation to setup_after_prep, removed apt_deps, and transitioned the extraction path from LZMA to 7zip. These changes reduce user friction, minimize support overhead, and accelerate deployment workflows.
December 2024 highlights for blacklanternsecurity/bbot: Delivered substantial unarchive module enhancements with broadened format support (including RAR) and a streamlined extraction flow using OS-level commands, significantly improving installer readiness and user-facing robustness. Fixed a key bug in compression type identification by removing obsolete MIME mappings that caused misclassification and downstream archive handling issues. Strengthened packaging, dependencies, and test alignment to support reliable builds and deployments: added RAR to CORE_DEPS, moved file creation to setup_after_prep, removed apt_deps, and transitioned the extraction path from LZMA to 7zip. These changes reduce user friction, minimize support overhead, and accelerate deployment workflows.
November 2024 monthly performance summary for blacklanternsecurity/bbot focusing on reliability, packaging automation, and expanded file-type handling. Delivered a robust set of features and targeted fixes that improve data extraction, streamlining of packaging workflows, and safe operations, while strengthening test coverage and code quality.
November 2024 monthly performance summary for blacklanternsecurity/bbot focusing on reliability, packaging automation, and expanded file-type handling. Delivered a robust set of features and targeted fixes that improve data extraction, streamlining of packaging workflows, and safe operations, while strengthening test coverage and code quality.
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