Vulnerability Monitor

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CVE-2019-10160


A security regression of CVE-2019-9636 was discovered in python since commit d537ab0ff9767ef024f26246899728f0116b1ec3 affecting versions 2.7, 3.5, 3.6, 3.7 and from v3.8.0a4 through v3.8.0b1, which still allows an attacker to exploit CVE-2019-9636 by abusing the user and password parts of a URL. When an application parses user-supplied URLs to store cookies, authentication credentials, or other kind of information, it is possible for an attacker to provide specially crafted URLs to make the application locate host-related information (e.g. cookies, authentication data) and send them to a different host than where it should, unlike if the URLs had been correctly parsed. The result of an attack may vary based on the application.


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 15 products from python, from redhat, from redhat and 12 others, organizations running these solutions should prioritize assessment and patching.

Historical Context

First disclosed in 2019, 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

2019-06-07T18:29:00.280

Last Modified

2024-11-21T04:18:32.713

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 9.8 (CRITICAL)

CVSSv2 Vector

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

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

10.0

Impact Score

2.9

Weaknesses
  • Type: Secondary
    CWE-172
  • Type: Secondary
    CWE-522

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application python python < 2.7.17 Yes
Application python python < 3.5.8 Yes
Application python python < 3.6.9 Yes
Application python python < 3.7.4 Yes
Application python python 3.8.0 Yes
Application python python 3.8.0 Yes
Operating System redhat enterprise_linux_desktop 7.0 Yes
Operating System redhat enterprise_linux_eus 7.6 Yes
Operating System redhat enterprise_linux_server 7.0 Yes
Operating System redhat enterprise_linux_server_aus 7.6 Yes
Operating System redhat enterprise_linux_server_tus 7.6 Yes
Operating System redhat enterprise_linux_workstation 7.0 Yes
Operating System debian debian_linux 8.0 Yes
Operating System debian debian_linux 9.0 Yes
Operating System opensuse leap 15.0 Yes
Operating System opensuse leap 15.1 Yes
Operating System fedoraproject fedora 29 Yes
Operating System fedoraproject fedora 30 Yes
Operating System fedoraproject fedora 31 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 18.04 Yes
Operating System canonical ubuntu_linux 19.04 Yes
Application redhat virtualization 4.0 Yes
Operating System redhat enterprise_linux 7.0 No
Application netapp cloud_backup - Yes
Application netapp converged_systems_advisor_agent - 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 python'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.