Security readout for executives and security teams
Plain-English summary
CVE-2018-7714 is a denial-of-service issue in OpenCV 3.4.1 image loading. A specially crafted or oversized image can trigger an exception/assertion condition. Business impact depends on whether your systems process untrusted images and whether the application handles OpenCV exceptions safely.
Executive priority
Prioritize if OpenCV 3.4.1 is used in internet-facing or high-volume image ingestion. Lower urgency if OpenCV is absent, upgraded, or only processes trusted internal images.
Technical view
The issue is in validateInputImageSize in modules/imgcodecs/src/loadsave.cpp. The CVE states remote attackers can trigger a denial of service when the pixel-count check fails. The record notes OpenCV CV_Assert raises a regular C++ exception for invalid or unsupported parameters, not a C-style process assertion.
Likely exposure
Exposure is likely limited to applications or services using OpenCV 3.4.1 to decode images supplied by users, partners, crawlers, or other untrusted sources.
Exploitation context
No CISA KEV listing or provided source states active exploitation. Public references include an OpenCV issue and a proof-of-concept repository, indicating the condition was publicly discussed.
Researcher notes
The CVE description is narrow and has no CVSS score or CWE in the provided bundle. Treat impact as application-dependent: an unhandled C++ exception may terminate a service, while robust handlers may reduce practical impact.
Mitigation direction
- Inventory applications and containers that include OpenCV 3.4.1.
- Check OpenCV project guidance and downstream vendor packages for fixed versions.
- Avoid processing untrusted images where exception handling is absent.
- Add safe exception handling around OpenCV image decoding paths.
- Apply input size limits before image decoding where business logic permits.
Validation and detection
- Confirm OpenCV version in affected applications and build artifacts.
- Identify endpoints, jobs, or services that accept external image files.
- Review application logs for OpenCV exceptions during image processing.
- Test remediation in non-production using benign oversized-image validation cases.
- Confirm image-processing failures do not crash the service.
Public sources used
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
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CVE-2018-7714 mapping review
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Open ATT&CK lookup- Severity
- Unknown
- CVSS
- Not scored
- Known Exploited
- No
- Published
CNA and ADP enrichment extracted from CVE v5
These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
CVSS and timeline data
No CVSS vectors or timeline events were available in the normalized CVE source material.
Source materials
- CVE List V5 sourceCVE List V5
- https://github.com/xiaoqx/pocs/tree/master/opencv/dos-by-assertCVE reference · x_refsource_MISC
- https://github.com/opencv/opencv/issues/10998CVE reference · x_refsource_MISC
Products and packages named in the record
CWE details
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.