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Not in CISA KEV
HIGH severity

CVE-2019-14491

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. O3 Security confirms whether CVE-2019-14491 is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.

Out-of-bounds Read in OpenCV

Also known asGHSA-fm39-cw8h-3p63PYSEC-2026-2797PYSEC-2026-2818PYSEC-2026-2836PYSEC-2026-720
Published
Aug 1, 2019
Updated
Jul 13, 2026
Affected
8 pkgs
Patched
8 / 8
Exploits
1 known
Exploitation data as of Aug 23, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

EPSS Exploitation Probability

via FIRST.org ↗
2.6%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs84th percentile — riskier than 84% of all scored CVEsHighest risk

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.

How urgent is this, really

CVE-2019-14491 plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.

Where this sits among everything scored

Of 0 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.

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. 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 CVE-2019-14491 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-2019-14491 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-2019-14491. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

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. 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?

O3 detects CVE-2019-14491 across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.