nbdime provides tools for diffing and merging of Jupyter Notebooks. In affected versions a stored cross-site scripting (XSS) issue exists within the Jupyter-owned nbdime project. It appears that when reading the file name and path from disk, the extension does not sanitize the string it constructs before returning it to be displayed. The diffNotebookCheckpoint function within nbdime causes this issue. When attempting to display the name of the local notebook (diffNotebookCheckpoint), nbdime appears to simply append .ipynb to the name of the input file. The NbdimeWidget is then created, and the base string is passed through to the request API function. From there, the frontend simply renders the HTML tag and anything along with it. Users are advised to patch to the most recent version of the affected product.
This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 8.7, 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 confidentiality (data exposure), integrity (unauthorized modifications), for affected systems. Impacting 2 products from jupyter, from jupyter organizations running these solutions should prioritize assessment and patching.
Reported in 2021, 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.
2021-11-03T18:15:08.350
2024-11-21T06:25:33.240
Modified
CVSSv3.1: 8.7 (HIGH)
AV:N/AC:M/Au:S/C:N/I:P/A:N
6.8
2.9
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | jupyter | nbdime | < 1.1.1 | Yes |
| Application | jupyter | nbdime | < 2.1.1 | Yes |
| Application | jupyter | nbdime | ≤ 3.1.1 | Yes |
| Application | jupyter | nbdime | < 5.0.2 | Yes |
| Application | jupyter | nbdime | < 6.1.2 | Yes |
| Application | jupyter | nbdime-jupyterlab | < 1.0.1 | Yes |
| Application | jupyter | nbdime-jupyterlab | < 2.1.1 | Yes |
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For jupyter's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.