Security readout for executives and security teams
Plain-English summary
CVE-2018-7713 is a denial-of-service issue in OpenCV 3.4.1 image loading. A specially sized image can trigger an assertion-related exception and may crash or interrupt software that processes untrusted images. Business impact depends on whether OpenCV is exposed through uploads, media pipelines, or automated image analysis services.
Executive priority
Treat as a targeted availability risk, not confirmed data theft. Prioritize systems where image processing supports customer-facing services or production automation. If OpenCV 3.4.1 is absent or not exposed to untrusted images, urgency is lower.
Technical view
The issue is in validateInputImageSize in modules/imgcodecs/src/loadsave.cpp in OpenCV 3.4.1. The CVE states remote attackers can cause denial of service when the width limit check can fail. The record notes OpenCV CV_Assert raises a C++ exception rather than a C-style assert.
Likely exposure
Exposure is likely where applications use OpenCV 3.4.1 imgcodecs to process attacker-supplied images. Internet-facing upload features, APIs, batch media processors, or ML pipelines accepting external images are the main concern. Systems not using OpenCV 3.4.1 or not processing untrusted images are less likely exposed.
Exploitation context
The public record references a GitHub proof-of-concept repository and an OpenCV issue. CISA KEV is false in the provided data, and no cited source states active exploitation. Practical exploitation requires the attacker to get a crafted image processed by vulnerable OpenCV-dependent software.
Researcher notes
Affected metadata in the provided CVE record is sparse and lists no CPEs, CVSS, CWE, patch, or fixed version. The strongest source detail is the CVE description plus linked OpenCV issue and PoC repository. Avoid assuming impact beyond denial of service without local validation.
Mitigation direction
- Inventory applications and containers for OpenCV 3.4.1 usage.
- Check OpenCV and application vendor guidance for fixed versions or workarounds.
- Prioritize remediation for internet-facing image upload or processing services.
- Limit or gate untrusted image processing where feasible.
- Ensure image-processing exceptions do not crash critical services.
Validation and detection
- Review SBOMs, package manifests, and build artifacts for OpenCV 3.4.1.
- Map all external image ingestion paths using OpenCV imgcodecs.
- Confirm services handle invalid image dimensions without process termination.
- Check monitoring for repeated image-processing crashes or restarts.
- Document whether vulnerable components are reachable by untrusted users.
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
Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.
CVE-2018-7713 mapping review
Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.
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.
