Jupyter

Jupyter's vulnerability footprint concentrates in a focused but broadly deployed ecosystem of web-based data-science and notebook-collaboration platforms, spanning Notebook, JupyterLab, JupyterHub, and related authentication components that sit at the boundary between user code execution and web access. Vulnerabilities affecting the vendor skew toward serious outcomes, with a meaningful share reaching critical severity, reflecting the exposure inherent to interactive execution environments that often run with elevated privileges and handle user-supplied code and content. The exposure recurs through web-layer weakness classes including cross-site scripting, open redirect, path traversal, and CSRF, patterns typical of Python-based web applications where input sanitization and session management are critical to isolating execution contexts and protecting notebook state. Defenders should treat Jupyter deployments as high-value targets—particularly internet-facing instances and those integrated with shared infrastructure—and prioritize patching, since the platform's role in data science and machine-learning pipelines means compromise can affect downstream analytics and model integrity. Current severity, exploitation activity, and exposure counts are shown alongside this summary.