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MEDIUM severity

CVE-2018-5268 — opencv-python

MEDIUMFix: opencv/opencv#10566

CVE-2018-5268 is a medium-severity (CVSS 5.5) Out-of-bounds Write 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 Write in OpenCV.

Also known asGHSA-9g8h-pjm4-q92pPYSEC-2026-2814PYSEC-2026-705
Published
Updated
Affected
2 pkgs
Patched
2 / 2
Exploits
1 known
Exploitation data as of Sep 29, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

EPSS Exploitation Probability

via FIRST.org ↗
1.5%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs74th percentile — riskier than 74% of all scored CVEsHighest risk

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

How urgent is this, really

CVE-2018-5268 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

In OpenCV 3.3.1 (corresponding with OpenCV-Python 3.3.1.11), a heap-based buffer overflow happens in cv::Jpeg2KDecoder::readComponent8u in modules/imgcodecs/src/grfmt_jpeg2000.cpp when parsing a crafted image file.

Affected Packages

2 total 2 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIopencv-pythonall versions3.4.1.15pip install --upgrade 'opencv-python==3.4.1.15'
🐍PyPIopencv-contrib-pythonall versions3.4.1.15pip install --upgrade 'opencv-contrib-python==3.4.1.15'

Affected Products

2 products · 4 configurations
OS
debian linuxdebian
3 versions
7.08.09.0
Application
opencvopencv
1 version
3.3.1
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 3.4.1.15 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2018-5268 is resolved across your whole dependency graph.

  3. Workarounds

    Stop feeding it untrusted input: reject or quarantine files and payloads from unverified sources until you can upgrade, restrict accepted formats to the ones you actually need, and run the parsing or decoding step in a least-privileged sandbox or short-lived worker so a crash or corrupted read cannot reach the rest of the process.

Frequently Asked Questions

In OpenCV 3.3.1 (corresponding with OpenCV-Python 3.3.1.11), a heap-based buffer overflow happens in cv::Jpeg2KDecoder::readComponent8u in modules/imgcodecs/src/grfmt_jpeg2000.cpp when parsing a crafted image file.
O3 Security · Impact-Aware SCA

Is CVE-2018-5268 in your dependencies?

Find it across PyPI, including transitive dependencies.

CVE-2018-5268: opencv-python — Fixed in 3.4.1.15