OpencvApplication

CVE-2018-7713

HIGH · 7.5 CVSS v3.0 Published 2018-03-05
Mitigation only
No fix yet — a mitigation exists. There is no fixed release. A documented workaround reduces exposure in the meantime.
See remediation →
84/100
Remediation priority · High
Remotely reachable No privileges Zero-click

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
The validateInputImageSize function in modules/imgcodecs/src/loadsave.cpp in OpenCV 3.4.1 allows remote attackers to cause a denial of service (assertion failure) because (size.width <= (1<<20)) may be false. Note: “OpenCV CV_Assert is not an assertion (C-like assert()), it is regular C++ exception which can raised in case of invalid or non-supported parameters.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · high confidence

OpenCV 3.4.1's validateInputImageSize function in the imgcodecs module contains an input validation flaw where images with width exceeding 1,048,576 pixels trigger a CV_Assert exception (C++ exception, not a standard assert). This causes a denial of service when processing maliciously crafted large images.

MitigationUpgrade to a patched version of OpenCV that implements proper error handling instead of assertions, or configure image processing pipelines to validate and reject oversized images before passing them to OpenCV functions.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.

NVD · CPE data
OpencvApplication
Affected:= 3.4.1

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Identify installed OpenCV version
    Run 'python3 -c "import cv2; print(cv2.__version__)"' or 'pkg-config --modversion opencv' or check your package manager
    Affected if The version returned is exactly 3.4.1
  2. Confirm imgcodecs module availability
    Run 'python3 -c "import cv2.imgcodecs"' or check if imgcodecs.dll/libopencv_imgcodecs.so exists in your OpenCV installation
    Affected if The imgcodecs module loads without errors
  3. Identify image processing entry points
    Search your codebase for calls to cv2.imread, cv2.imwrite, cv2.imdecode, or cv::imread from the imgcodecs module
    Affected if Your application directly loads images from untrusted sources using OpenCV imgcodecs functions
  4. Check image source trust model
    Review your application's image input handling: check if images come from user uploads, network sources, or untrusted file paths
    Affected if Images processed by OpenCV originate from untrusted or external sources without prior dimension validation

You are affected if OpenCV version 3.4.1 is installed AND your application uses the imgcodecs module to process images from untrusted sources with widths exceeding 1,048,576 pixels, which will trigger the CV_Assert exception and cause denial of service.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

From vendor data
Mitigation available No clean upgrade yet — mitigate in the meantime
Mitigation

Upgrade to a patched version of OpenCV that implements proper error handling instead of assertions, or configure image processing pipelines to validate and reject oversized images before passing them to OpenCV functions.

Fix this in Opencv Scoped from the published advisory
  • Consultation2.0 h
  • Implementation3.0 h
  • Testing2.0 h
  • Review / QA1.0 h
8.0 hours of engineering $1,420
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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2018-7713 in production — separate from our analysis above.

No notes yet

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
  • Verified mitigations, workarounds, and config changes
  • Version or environment caveats, and links to real fixes
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