CyberRota Analysis
AI-GeneratedThe HTML export functionality in tablib versions prior to 3.10.0 is vulnerable to stored cross-site scripting, allowing attackers to inject arbitrary JavaScript through unsanitized dataset titles. This can lead to session hijacking, unauthorized actions, and exposure of sensitive data when the output is rendered in a browser. Organizations using tablib for data export should prioritize patching this vulnerability to mitigate potential security risks.
Public Exploit Signal
A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.
Note: these links are listed for security research and verification purposes only.
Original NVD Description
tablib prior to 3.10.0 contains a stored cross-site scripting vulnerability in the HTML export functionality that allows attackers to execute arbitrary JavaScript by embedding malicious payloads in dataset titles, which are interpolated unsanitized into HTML output via the export_book method in the _html.py format handler. Attackers can rename worksheet sheets in imported files such as XLSX, ODS, XLS, or YAML with script payloads that are assigned to the Dataset title attribute and rendered unescaped inside an HTML h3 tag, leading to session hijacking, unauthorized administrative actions, and sensitive data exposure when the output is rendered in a browser.