More than just data: The hidden security risks in Jupyter notebooks

Jupyter notebooks have become an essential tool for data scientists, researchers, and developers, offering a flexible environment for combining live code, text, equations, and visualizations. Recent research uncovered critical security vulnerabilities in two Jupyter implementations: JupyterLab Desktop and JetBrains Jupyter plugin. These vulnerabilities, including Cross-Site Scripting (XSS), command injection, and token leaks, could allow attackers to execute arbitrary code on a victim's machine with minimal user interaction. In JupyterLab Desktop, a token leak (CVE-2025-59842) and command injection vulnerabilities could be exploited when users connect to a malicious server. Similarly, JetBrains' Jupyter plugin had an XSS vulnerability leading to remote code execution (CVE-2026-25847) when users visit a malicious website. While JetBrains has patched the vulnerability in PyCharm 2025.3.2, JupyterLab Desktop will no longer receive security updates, prompting users to migrate to alternative solutions. This research highlights the importance of maintaining robust security measures in client-side tools used in AI and data science to prevent critical exploits.

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