8.2 High
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
LOW
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H
6.4 Medium
CVSS2
Access Vector
NETWORK
Access Complexity
LOW
Authentication
NONE
Confidentiality Impact
PARTIAL
Integrity Impact
NONE
Availability Impact
PARTIAL
AV:N/AC:L/Au:N/C:P/I:N/A:P
0.005 Low
EPSS
Percentile
75.8%
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<cv::HaarEvaluator> in modules/objdetect/src/cascadedetect.hpp, which leads to denial of service.
github.com/advisories/GHSA-fm39-cw8h-3p63
github.com/opencv/opencv/compare/33b765d...4a7ca5a
github.com/opencv/opencv/compare/371bba8...ddbd10c
github.com/opencv/opencv/issues/15125
lists.fedoraproject.org/archives/list/[email protected]/message/HPFLN6QAX6SUA4XR4NMKKXX26H3TYCVQ/
nvd.nist.gov/vuln/detail/CVE-2019-14491
8.2 High
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
LOW
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H
6.4 Medium
CVSS2
Access Vector
NETWORK
Access Complexity
LOW
Authentication
NONE
Confidentiality Impact
PARTIAL
Integrity Impact
NONE
Availability Impact
PARTIAL
AV:N/AC:L/Au:N/C:P/I:N/A:P
0.005 Low
EPSS
Percentile
75.8%