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GHSA-fm39-cw8h-3p63

HIGH

Out-of-bounds Read in OpenCV

Also known asCVE-2019-14491
Published
Oct 12, 2021
Updated
Feb 17, 2024
Affected
8 pkgs
Patched
8 / 8
Exploits
1 known

EPSS Exploitation Probability

via FIRST.org ↗
2.6%probability of exploitation in next 30 days
Lower Risk84th percentile+2.34%
0.00%1.12%2.23%3.35%0.5%2.6%Dec 25Apr 26Jun 26

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

Blast Radius

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 versions3.4.7.28
🐍PyPIopencv-python4.0.0.21&&< 4.1.1.264.1.1.26
🐍PyPIopencv-python-headlessall versions3.4.7.28
🐍PyPIopencv-python-headless4.0.0.21&&< 4.1.1.264.1.1.26
🐍PyPIopencv-contrib-pythonall versions3.4.7.28
🐍PyPIopencv-contrib-python4.0.0.21&&< 4.1.1.264.1.1.26
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. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  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 GHSA-fm39-cw8h-3p63 is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 pinpoints whether GHSA-fm39-cw8h-3p63 is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to GHSA-fm39-cw8h-3p63. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

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 GHSA-fm39-cw8h-3p63 in your dependencies?

O3 detects GHSA-fm39-cw8h-3p63 across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.