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🐍 PyPI
Not in CISA KEV
HIGH severity

CVE-2017-12602

HIGH

CVE-2017-12602 is a high-severity (CVSS 7.5) vulnerability in opencv-python. O3 Security confirms whether CVE-2017-12602 is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.

Denial of Service in OpenCV

Also known asGHSA-pqjj-6f5q-gqphPYSEC-2026-2827PYSEC-2026-713
Published
Aug 7, 2017
Updated
Jul 13, 2026
Affected
2 pkgs
Patched
2 / 2
Exploits
None indexed
Exploitation data as of Aug 8, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

EPSS Exploitation Probability

via FIRST.org ↗
3.0%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs86th percentile — riskier than 86% of all scored CVEsHighest risk
0.11%1.28%2.46%3.63%0.8%3.0%Feb 26Jun 26Aug 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.

How urgent is this, really

CVE-2017-12602 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

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

OpenCV (Open Source Computer Vision Library) through 3.3 has a denial of service (memory consumption) issue, as demonstrated by the 10-opencv-dos-memory-exhaust test case.

Affected Packages

2 total 2 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIopencv-pythonall versions3.3.1.11
🐍PyPIopencv-contrib-pythonall versions3.3.1.11

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 3.3.1.11 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2017-12602 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-2017-12602 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-2017-12602. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

OpenCV (Open Source Computer Vision Library) through 3.3 has a denial of service (memory consumption) issue, as demonstrated by the 10-opencv-dos-memory-exhaust test case.
O3 Security · Impact-Aware SCA

Is CVE-2017-12602 in your dependencies?

O3 detects CVE-2017-12602 across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.

CVE-2017-12602: Denial of Service in OpenCV… | O3 Security