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CVE-2019-14492

HIGH

Out-of-bounds Read and Out-of-bounds Write in OpenCV

Also known asGHSA-fw99-f933-rgh8
Published
Aug 1, 2019
Updated
Apr 16, 2026
Affected
8 pkgs
Patched
8 / 8
Exploits
1 known

EPSS Exploitation Probability

via FIRST.org ↗
2.8%probability of exploitation in next 30 days
Lower Risk84th percentile+2.30%
0.00%1.15%2.30%3.45%0.5%2.8%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. There is an out of bounds read/write in the function HaarEvaluator::OptFeature::calc 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 CVE-2019-14492 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 CVE-2019-14492 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 CVE-2019-14492. 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. There is an out of bounds read/write in the function HaarEvaluator::OptFeature::calc in modules/objdetect/src/cascadedetect.hpp, which leads to denial of service.
O3 Security · Impact-Aware SCA

Is CVE-2019-14492 in your dependencies?

O3 detects CVE-2019-14492 across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.