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.
This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 5.4, indicating it can be exploited remotely over the network with relatively low complexity though user interaction is required requiring only low-level privileges . The vulnerability impacts limited data confidentiality, limited integrity, for affected systems.
Reported in 2026, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.
2026-08-12T03:16:43.233
2026-08-12T17:17:33.090
Received
CVSSv3.1: 5.4 (MEDIUM)
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