Vulnerability Monitor

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CVE-2015-6938


Cross-site scripting (XSS) vulnerability in the file browser in notebook/notebookapp.py in IPython Notebook before 3.2.2 and Jupyter Notebook 4.0.x before 4.0.5 allows remote attackers to inject arbitrary web script or HTML via a folder name. NOTE: this was originally reported as a cross-site request forgery (CSRF) vulnerability, but this may be inaccurate.


Security Impact Summary

CVE-2015-6938 is a security vulnerability that . Impacting 4 products from jupyter, from fedoraproject, from opensuse and 1 other, organizations running these solutions should prioritize assessment and patching.

Historical Context

First disclosed in 2015, this vulnerability was reported during a period defined by widespread IoT adoption challenges, mobile security concerns, and the emergence of advanced persistent threat (APT) techniques. Contemporary mitigation strategies focused on secure development practices and third-party component vetting.


Published

2015-09-21T19:59:05.353

Last Modified

2025-04-12T10:46:40.837

Status

Deferred

Source

[email protected]

Severity

CVSSv2: 4.3 (MEDIUM)

CVSSv2 Vector

AV:N/AC:M/Au:N/C:N/I:P/A:N

  • Access Vector: NETWORK
  • Access Complexity: MEDIUM
  • Authentication: NONE
  • Confidentiality Impact: NONE
  • Integrity Impact: PARTIAL
  • Availability Impact: NONE
Exploitability Score

8.6

Impact Score

2.9

Weaknesses
  • Type: Primary
    CWE-79

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application jupyter notebook 4.0.0 Yes
Application jupyter notebook 4.0.1 Yes
Application jupyter notebook 4.0.2 Yes
Application jupyter notebook 4.0.3 Yes
Application jupyter notebook 4.0.4 Yes
Operating System fedoraproject fedora 21 Yes
Operating System fedoraproject fedora 22 Yes
Operating System fedoraproject fedora 23 Yes
Operating System opensuse opensuse 13.1 Yes
Operating System opensuse opensuse 13.2 Yes
Application ipython notebook ≤ 3.2.1 Yes

References

How SecUtils Interprets This CVE

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.