CVE-2016-1517: Opencv python Improper Input Validation Vulnerability

MODERATE
Advisory Identifier: GHSA-fffj-9qwg-qmh5
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CVSS 5.5
CWE-20
Published
Advisory Summary

CVE-2016-1517 is a MODERATE (CVSS 5.5) improper input validation vulnerability (CWE-20: Improper Input Validation) affecting Opencv python libraries in the PyPI ecosystem. The issue involves improper input validation in opencv. Remediation is available by upgrading affected packages to version 3.3.1.11.

CVE-2016-1517 at a Glance

CVE Identifier CVE-2016-1517
GHSA Identifier GHSA-fffj-9qwg-qmh5
Severity MODERATE
CVSS v3.1 Base Score 5.5
CWE Classification CWE-20: Improper Input Validation
Affected Product Opencv python
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 5.5

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H).

Attack Vector Local (AV:L)
Attack Complexity Low (AC:L)
Privileges Required None (PR:N)
User Interaction Required (UI:R)
Scope Unchanged (S:U)
Confidentiality None (C:N)
Integrity None (I:N)
Availability High (A:H)

How to Fix CVE-2016-1517

To remediate this vulnerability, upgrade all affected Opencv python dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

opencv-python fixed: 3.3.1.11 
pip install opencv-python>=3.3.1.11
opencv-contrib-python fixed: 3.3.1.11 
pip install opencv-contrib-python>=3.3.1.11
Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release: 

pip show opencv-python

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2016-1517, inspect your installed packages using pip:

pip show opencv-python

Analyze the terminal output to locate any version of Opencv python in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 3.3.1.11), your application is affected.

Note: The pip show opencv-python command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-20: Improper Input Validation, where the product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly. In Opencv python, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

OpenCV 3.0.0 allows remote attackers to cause a denial of service (segfault) via vectors involving corrupt chunks. This issue was fixed in OpenCV version 3.3.1 (corresponding to OpenCV 3.3.1.11).

CVE-2016-1517 Affected Opencv python Versions

2 component(s)
Fixed Versions:
3.3.1.11
Product / Package Ecosystem Affected Versions Fixed Version
opencv-python
pypi/opencv-python
PyPI
< 3.3.1.11
3.3.1.11
opencv-contrib-python
pypi/opencv-contrib-python
PyPI
< 3.3.1.11
3.3.1.11

References

NVD — CVE-2016-1517 NVD
https://nvd.nist.gov/vuln/detail/CVE-2016-1517
Opencv python Source Repository REPOSITORY
https://github.com/opencv/opencv/issues/5956
Opencv python Source Repository REPOSITORY
https://github.com/opencv/opencv/pull/9376
arxiv.org/pdf/1701.04739.pdf WEB
https://arxiv.org/pdf/1701.04739.pdf
Opencv python Source Repository REPOSITORY
https://github.com/opencv/opencv-python

Frequently Asked Questions

What is CVE-2016-1517?
CVE-2016-1517 is a security vulnerability in Opencv python involving Improper Input Validation in OpenCV under CWE-20: Improper Input Validation.
Which Opencv python versions are affected?
Affected versions include releases prior to 3.3.1.11 across affected packages: opencv-python, opencv-contrib-python.
What version fixes CVE-2016-1517?
Upgrading to 3.3.1.11 (or the latest patched release for your respective branch) resolves the vulnerability.
Is opencv-python affected?
Yes, opencv-python is affected in releases prior to 3.3.1.11. Upgrade your dependency to 3.3.1.11 or later.
Is opencv-contrib-python affected?
Yes, opencv-contrib-python is affected in releases prior to 3.3.1.11. Upgrade your dependency to 3.3.1.11 or later.
What is the CVSS score of CVE-2016-1517?
CVE-2016-1517 has a CVSS v3.1 base score of 5.5 (MODERATE) with vector string CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H.
What CWE is associated with CVE-2016-1517?
CVE-2016-1517 is classified under CWE-20: Improper Input Validation (The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.).
How can I check PyPI dependencies for CVE-2016-1517?
Run the dependency tree command: 'pip show opencv-python'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
View Raw JSON 
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  "id" : "GHSA-fffj-9qwg-qmh5",
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  "published" : "2021-10-12T22:00:31Z",
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  "summary" : "Improper Input Validation in OpenCV",
  "details" : "OpenCV 3.0.0 allows remote attackers to cause a denial of service (segfault) via vectors involving corrupt chunks. This issue was fixed in OpenCV version 3.3.1 (corresponding to OpenCV 3.3.1.11).",
  "severity" : [ {
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}