ghsa-fm39-cw8h-3p63
Vulnerability from github
Published
2021-10-12 22:07
Modified
2021-10-07 15:12
Severity ?
VLAI Severity ?
Summary
Out-of-bounds Read in OpenCV
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.
{ "affected": [ { "database_specific": { "last_known_affected_version_range": "\u003c= 3.4.6.27" }, "package": { "ecosystem": "PyPI", "name": "opencv-python" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "3.4.7.28" } ], "type": "ECOSYSTEM" } ] }, { "database_specific": { "last_known_affected_version_range": "\u003c= 4.1.0.25" }, "package": { "ecosystem": "PyPI", "name": "opencv-python" }, "ranges": [ { "events": [ { "introduced": "4.0.0.21" }, { "fixed": "4.1.1.26" } ], "type": "ECOSYSTEM" } ] }, { "database_specific": { "last_known_affected_version_range": "\u003c= 3.4.6.27" }, "package": { "ecosystem": "PyPI", "name": "opencv-python-headless" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "3.4.7.28" } ], "type": "ECOSYSTEM" } ] }, { "database_specific": { "last_known_affected_version_range": "\u003c= 4.1.0.25" }, "package": { "ecosystem": "PyPI", "name": "opencv-python-headless" }, "ranges": [ { "events": [ { "introduced": "4.0.0.21" }, { "fixed": "4.1.1.26" } ], "type": "ECOSYSTEM" } ] }, { "database_specific": { "last_known_affected_version_range": "\u003c= 3.4.6.27" }, "package": { "ecosystem": "PyPI", "name": "opencv-contrib-python" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "3.4.7.28" } ], "type": "ECOSYSTEM" } ] }, { "database_specific": { "last_known_affected_version_range": "\u003c= 4.1.0.25" }, "package": { "ecosystem": "PyPI", "name": "opencv-contrib-python" }, "ranges": [ { "events": [ { "introduced": "4.0.0.21" }, { "fixed": "4.1.1.26" } ], "type": "ECOSYSTEM" } ] }, { "database_specific": { "last_known_affected_version_range": "\u003c= 3.4.6.27" }, "package": { "ecosystem": "PyPI", "name": "opencv-contrib-python-headless" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "3.4.7.28" } ], "type": "ECOSYSTEM" } ] }, { "database_specific": { "last_known_affected_version_range": "\u003c= 4.1.0.25" }, "package": { "ecosystem": "PyPI", "name": "opencv-contrib-python-headless" }, "ranges": [ { "events": [ { "introduced": "4.0.0.21" }, { "fixed": "4.1.1.26" } ], "type": "ECOSYSTEM" } ] } ], "aliases": [ "CVE-2019-14491" ], "database_specific": { "cwe_ids": [ "CWE-125" ], "github_reviewed": true, "github_reviewed_at": "2021-10-07T15:12:30Z", "nvd_published_at": "2019-08-01T17:15:00Z", "severity": "HIGH" }, "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": "GHSA-fm39-cw8h-3p63", "modified": "2021-10-07T15:12:30Z", "published": "2021-10-12T22:07:14Z", "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" } ], "schema_version": "1.4.0", "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" }
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Sightings
Author | Source | Type | Date |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.
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