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HIGH severity

CVE-2019-14491 — opencv-python

HIGH

CVE-2019-14491 is a high-severity (CVSS 8.2) Out-of-bounds Read 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.

Out-of-bounds Read in OpenCV

Also known asGHSA-fm39-cw8h-3p63PYSEC-2026-2797PYSEC-2026-2818PYSEC-2026-2836PYSEC-2026-720
Published
Updated
Affected
8 pkgs
Patched
8 / 8
Exploits
1 known
Exploitation data as of Oct 9, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

EPSS Exploitation Probability

via FIRST.org ↗
2.7%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs85th percentile — riskier than 85% of all scored CVEsHighest risk
0.00%1.13%2.25%3.38%0.3%2.7%Apr 26Aug 26Oct 26

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

How urgent is this, really

CVE-2019-14491 by exploitation likelihood (EPSS) against impact (CVSS). Outside the shaded patch-first corner.

Where this sits among everything scored

Of 385,386 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Counts from FIRST.org, log-scaled.

Real-World Exposure

8 pkgs affected
🐍opencv-python🐍opencv-python🐍opencv-python-headless🐍opencv-python-headless🐍opencv-contrib-python🐍opencv-contrib-python🐍opencv-contrib-python-headless🐍opencv-contrib-python-headless

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

An issue was discovered in OpenCV before 3.4.7 and 4.x before 4.1.1 (OpenCV-Python before 3.4.7.28 and 4.x before 4.1.1.26). There is an out of bounds read in the function cv::predictOrderedcv::HaarEvaluator in modules/objdetect/src/cascadedetect.hpp, which leads to denial of service.

Affected Packages

8 total 8 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIopencv-pythonall versions3.4.7.28pip install --upgrade 'opencv-python==3.4.7.28'
🐍PyPIopencv-python≥ 4.0.0.21&&< 4.1.1.264.1.1.26pip install --upgrade 'opencv-python==4.1.1.26'
🐍PyPIopencv-python-headlessall versions3.4.7.28pip install --upgrade 'opencv-python-headless==3.4.7.28'
🐍PyPIopencv-python-headless≥ 4.0.0.21&&< 4.1.1.264.1.1.26pip install --upgrade 'opencv-python-headless==4.1.1.26'
🐍PyPIopencv-contrib-pythonall versions3.4.7.28pip install --upgrade 'opencv-contrib-python==3.4.7.28'
🐍PyPIopencv-contrib-python≥ 4.0.0.21&&< 4.1.1.264.1.1.26pip install --upgrade 'opencv-contrib-python==4.1.1.26'

Affected Products

1 product · 2 configurations
Application
opencvopencv
≥ 4.0.0 && < 4.1.1
range
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.

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 3.4.7.28 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2019-14491 is resolved across your whole dependency graph.

  3. Workarounds

    Constrain what reaches the vulnerable code: limit the size and shape of untrusted input, isolate the affected component in a sandboxed or least-privileged process, and enable the platform's memory-safety mitigations (ASLR, stack protector, hardened allocator) so an out-of-bounds access is more likely to fail closed than to be exploitable.

Fixing This On Your OS

If you run this on a Linux distribution, patch through your package manager against the distro's own security advisory below — it tracks the exact backported fix for your release, which can ship on a different timeline (and sometimes a different severity) than the upstream project.

Frequently Asked Questions

An issue was discovered in OpenCV before 3.4.7 and 4.x before 4.1.1 (OpenCV-Python before 3.4.7.28 and 4.x before 4.1.1.26). There is an out of bounds read in the function cv::predictOrdered<cv::HaarEvaluator> in modules/objdetect/src/cascadedetect.hpp, which leads to denial of service.
O3 Security · Impact-Aware SCA

Is CVE-2019-14491 in your dependencies?

Find it across PyPI, including transitive dependencies.

CVE-2019-14491: opencv-python — Fixed in 3.4.7.28