cvat — Vulnerabilities & Security Advisories 21

The following page documents known security vulnerabilities associated with Open Computer Vision, a platform commonly referred to by the abbreviation cvat, categorized by Common Weakness Enumeration identifiers. It aggregates data regarding multiple weakness types affecting the software, covering security issues reported and tracked from 2021 through the present, including both critical and moderate severity findings. Users can utilize this resource to track vendor advisories released by The CVAT Community, understand the characteristics and risks of specific weakness classes within the application’s codebase, and look up the complete vulnerability history of the product to assess its current risk posture. This centralized view helps developers, security analysts, and system administrators identify patterns in how the software has been compromised or misconfigured over time. By reviewing these aggregated records, stakeholders can better prioritize patching efforts and implement appropriate mitigations for the identified flaws without needing to search disparate sources. The information presented is intended to provide a clear, chronological, and categorized overview of security deficiencies, facilitating informed decision-making regarding system hardening and compliance. This document serves as a reference for understanding the evolving security landscape of the cvat platform, ensuring that teams remain aware of historical and ongoing threats that could impact data privacy, system integrity, or operational continuity in computer vision workflows.