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CVE-2016-9013


Django 1.8.x before 1.8.16, 1.9.x before 1.9.11, and 1.10.x before 1.10.3 use a hardcoded password for a temporary database user created when running tests with an Oracle database, which makes it easier for remote attackers to obtain access to the database server by leveraging failure to manually specify a password in the database settings TEST dictionary.


Security Impact Summary

This vulnerability carries a CRITICAL severity rating with a CVSS v3.1 score of 9.8, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction and does not require pre-existing privileges . The vulnerability impacts confidentiality (data exposure), integrity (unauthorized modifications), and availability (service disruption) for affected systems. Impacting 3 products from djangoproject, from canonical, from fedoraproject organizations running these solutions should prioritize assessment and patching.

Historical Context

First disclosed in 2016, 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

2016-12-09T20:59:05.657

Last Modified

2025-04-12T10:46:40.837

Status

Deferred

Source

[email protected]

Severity

CVSSv3.0: 9.8 (CRITICAL)

CVSSv2 Vector

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

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

10.0

Impact Score

6.4

Weaknesses
  • Type: Primary
    CWE-798

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application djangoproject django 1.10 Yes
Application djangoproject django 1.10.1 Yes
Application djangoproject django 1.10.2 Yes
Operating System canonical ubuntu_linux 12.04 Yes
Operating System canonical ubuntu_linux 14.04 Yes
Operating System canonical ubuntu_linux 16.04 Yes
Operating System canonical ubuntu_linux 16.10 Yes
Application djangoproject django 1.9 Yes
Application djangoproject django 1.9.1 Yes
Application djangoproject django 1.9.2 Yes
Application djangoproject django 1.9.3 Yes
Application djangoproject django 1.9.4 Yes
Application djangoproject django 1.9.5 Yes
Application djangoproject django 1.9.6 Yes
Application djangoproject django 1.9.7 Yes
Application djangoproject django 1.9.8 Yes
Application djangoproject django 1.9.9 Yes
Application djangoproject django 1.9.10 Yes
Application djangoproject django 1.8 Yes
Application djangoproject django 1.8.1 Yes
Application djangoproject django 1.8.2 Yes
Application djangoproject django 1.8.3 Yes
Application djangoproject django 1.8.4 Yes
Application djangoproject django 1.8.5 Yes
Application djangoproject django 1.8.6 Yes
Application djangoproject django 1.8.7 Yes
Application djangoproject django 1.8.8 Yes
Application djangoproject django 1.8.9 Yes
Application djangoproject django 1.8.10 Yes
Application djangoproject django 1.8.11 Yes
Application djangoproject django 1.8.12 Yes
Application djangoproject django 1.8.13 Yes
Application djangoproject django 1.8.14 Yes
Application djangoproject django 1.8.15 Yes
Operating System fedoraproject fedora 24 Yes
Operating System fedoraproject fedora 25 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 djangoproject'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.