Datalore — Vulnerabilities & Security Advisories 19

This page aggregates security vulnerabilities affecting the Datalore data science platform developed by Yandex. It compiles a chronological record of reported weaknesses, ranging from authentication bypasses and cross-site scripting flaws to server-side injection issues and configuration errors discovered between 2019 and the present. Readers can utilize this resource to track the vendor's historical security advisories, analyze the prevalence of specific weakness classes within cloud-based notebook environments, or review the complete vulnerability history of the Datalore product for risk assessment purposes. The data presented here serves as a centralized reference for security professionals monitoring the threat landscape surrounding collaborative data analysis tools. By examining the patterns of disclosed issues over time, organizations can better understand the evolution of security controls implemented by the developers and identify recurring attack vectors relevant to their own infrastructure. This collection aims to provide clear, factual information without promotional content, enabling stakeholders to make informed decisions regarding their security posture. The entries are organized to facilitate efficient research into how various software components within the Datalore ecosystem have been impacted by known security defects, supporting ongoing vulnerability management and remediation efforts.