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MEDIUM severity

CVE-2016-1517 — opencv-python

MEDIUMFix: opencv/opencv#9376

CVE-2016-1517 is a medium-severity (CVSS 5.5) Improper Input Validation vulnerability in opencv-python. 1 public exploit reference exists, so weaponization risk is real. A fix is available for opencv-python — see the affected versions and patch details below.

Improper Input Validation in OpenCV

Also known asGHSA-fffj-9qwg-qmh5PYSEC-2026-2817PYSEC-2026-708
Published
Updated
Affected
2 pkgs
Patched
2 / 2
Exploits
1 known
Exploitation data as of Oct 9, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

EPSS Exploitation Probability

via FIRST.org ↗
1.0%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs63th percentile — riskier than 63% of all scored CVEsHighest risk
0.00%0.51%1.03%1.54%0.4%1.0%Apr 26Aug 26Oct 26

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

CVE-2016-1517 by exploitation likelihood (EPSS) against impact (CVSS). Outside the shaded patch-first corner.

Where this sits among everything scored

Of 385,738 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Counts from FIRST.org, log-scaled.

Real-World Exposure

2 pkgs affected
🐍opencv-python🐍opencv-contrib-python

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

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).

Affected Packages

2 total 2 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIopencv-pythonall versions3.3.1.11pip install --upgrade 'opencv-python==3.3.1.11'
🐍PyPIopencv-contrib-pythonall versions3.3.1.11pip install --upgrade 'opencv-contrib-python==3.3.1.11'

Affected Products

1 product · 1 configurations
Application
opencvopencv
1 version
3.0.0
Exploits & PoCs
1

Research use only. For defensive security, authorized penetration testing, and academic research only. Never execute exploit code against systems without explicit written authorization.

OpenCV 3.0.0 allows remote attackers to cause a denial of service (segfa…

arxiv.orgNVDApr 2017

Detection & mitigation playbook

Open-source dependency

  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for opencv-python, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update opencv-python to 3.3.1.11 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2016-1517 is resolved across your whole dependency graph.

  3. Workarounds

    Cap what an attacker can consume: apply request size, rate and timeout limits in front of the affected component, and run it with memory and CPU limits so exhaustion degrades one worker rather than the whole service.

Frequently Asked Questions

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).
O3 Security · Impact-Aware SCA

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CVE-2016-1517: opencv-python DoS — Fixed in 3.3.1.11