Monthly summary for 2025-10 focusing on greenbone/gvmd: Delivered a robust Container Image Scanning Framework enabling end-to-end container image vulnerability scanning, featuring a new scanner type and management logic, improved error handling, enhanced result deduplication, warnings, consistent naming, and CI integration to build container-scanning-enabled images. Also improved reliability, maintenance, and alignment with dependencies across the month.

September 2025 monthly summary: Delivered substantive improvements to the HTTP scanner, improved VT parsing robustness, stabilized core VT handling, and upgraded dependencies to enable better performance and reliability. Achievements include feature delivery, bug fixes, and build stability improvements that collectively increased reliability, maintainability, and developer velocity across gvm-libs and gvmd.

2025-08 monthly summary focused on delivering a reusable HTTP scanning capability and enabling its adoption across core OpenVAS components. Work emphasized modular design, pipeline reliability, and documentation to support future scalability and faster feature delivery.

July 2025 monthly summary for greenbone/gvmd: Delivered end-to-end OCI image targets support to enable container image scanning workflows. Implemented new GMP commands for OCI targets, updated credential handling and user-deletion cleanup to maintain security and lifecycle integrity, and added task creation support for OCI images. Updated database schema and build system to accommodate OCI workflows. This work broadens target coverage, strengthens security hygiene, and enhances operational efficiency for scanning container images.

June 2025 monthly summary for greenbone/gvmd focusing on reliability, correctness, and maintainability. Implemented key bug fixes that preserve data integrity in alert management, improved inter-process communication stability, and tightened VT metadata handling and feed path correctness. These changes reduce production risk, improve log visibility, and enhance the reliability of feed processing pipelines.

May 2025 – gvmd monthly summary: delivered key features, improved reliability, and strengthened build and integration practices across the repository. Focused on concurrency-safe report processing, robust NVT update flow, and modular build components to reduce risk and improve maintainability.

April 2025 monthly summary focusing on delivering VT metadata integration, build hygiene, and reusable VT parsing utilities across gvmd and gvm-libs. Key outcomes include: VT metadata loading from JSON feed integrated with gvmd/manage via FEED_VT_METADATA, post-separation VT parser wiring for robust data updates, CMake formatting cleanup improving maintainability without changing behavior, and extraction of VT JSON parsing into a reusable vtparser library in gvm-libs with explicit parse return values. These changes improve data freshness, reliability, and developer productivity.

February 2025 monthly summary: Focused on accuracy, reliability, and maintainability across the Greenbone product line. Key work in gvmd included tag resource counting improvements across all subtypes (including trash), report format differentiation and validation to enforce correct usage, and feed-related maintenance to simplify structure and versioning. In gsa, implemented scan vs audit-specific report format filtering. These changes collectively improve data integrity, reduce user error in reporting, and streamline release processes.

January 2025 monthly summary: Delivered substantial improvements across the gvmd and gsa repositories, focusing on tagging accuracy, compliance reporting, GMP compatibility, and user-facing UI enhancements. These changes increased reporting reliability for audits and policies, improved correctness of compliance status calculations, and prepared the ground for the 22.5/22.6 GMP releases and clearer compliance-focused UX.

December 2024 monthly summary focusing on key business value and technical achievements across gvmd, gsa, and actions. Delivered CVSS3-based vulnerability severity system with a feature flag to switch between CVSS 2.0 and 3.x scales, including schema and documentation alignment, enabling granular risk assessment with controlled rollout. Implemented EPSS score visibility control in the compliance view to reduce noise by hiding EPSS columns when audit flag is active, improving clarity for auditors and stakeholders. Expanded the dependency review action to allow MIT-CMU licenses, enhancing compatibility in downstream integrations without changing runtime logic. These efforts resulted in more accurate risk scoring, clearer compliance reporting, and broader license support, while preserving stability and maintainability across the codebase.

November 2024 performance summary for gvmd and gsa focusing on business value and technical achievements. Delivered CVE/CPE feed enhancements, container startup stability improvements, delta reporting maintenance, and UI simplification, enabling more reliable data feeds, improved runtime reliability in containerized deployments, and reduced maintenance overhead.