PYSEC-2026-720
Vulnerability from pysec - Published: 2026-07-02 14:13 - Updated: 2026-07-06 07:37
VLAI
Details
An issue was discovered in OpenCV before 3.4.7 and 4.x before 4.1.1 (OpenCV-Python before 3.4.7.28 and 4.x before 4.1.1.26). There is an out of bounds read in the function cv::predictOrdered in modules/objdetect/src/cascadedetect.hpp, which leads to denial of service.
Severity
8.2 (High)
Impacted products
| Name | purl | opencv-contrib-python-headless | pkg:pypi/opencv-contrib-python-headless |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "opencv-contrib-python-headless",
"purl": "pkg:pypi/opencv-contrib-python-headless"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.4.7.28"
},
{
"introduced": "4.0.0.21"
},
{
"fixed": "4.1.1.26"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"3.4.0.14",
"3.4.1.15",
"3.4.2.17",
"3.4.3.18",
"3.4.4.19",
"3.4.5.20",
"3.4.6.27",
"4.0.0.21",
"4.0.1.23",
"4.0.1.24",
"4.1.0.25"
]
}
],
"aliases": [
"CVE-2019-14491",
"GHSA-fm39-cw8h-3p63"
],
"details": "An issue was discovered in OpenCV before 3.4.7 and 4.x before 4.1.1 (OpenCV-Python before 3.4.7.28 and 4.x before 4.1.1.26). There is an out of bounds read in the function cv::predictOrdered\u003ccv::HaarEvaluator\u003e in modules/objdetect/src/cascadedetect.hpp, which leads to denial of service.",
"id": "PYSEC-2026-720",
"modified": "2026-07-06T07:37:00.556884Z",
"published": "2026-07-02T14:13:12.650176Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-14491"
},
{
"type": "WEB",
"url": "https://github.com/opencv/opencv/issues/15125"
},
{
"type": "PACKAGE",
"url": "https://github.com/opencv/opencv-python"
},
{
"type": "WEB",
"url": "https://github.com/opencv/opencv/compare/33b765d...4a7ca5a"
},
{
"type": "WEB",
"url": "https://github.com/opencv/opencv/compare/371bba8...ddbd10c"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/HPFLN6QAX6SUA4XR4NMKKXX26H3TYCVQ"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/opencv-contrib-python-headless"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-fm39-cw8h-3p63"
}
],
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "Out-of-bounds Read in OpenCV"
}
Loading…
Loading…
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Loading…
Loading…