CVE-2019-14491
published 2019-08-01CVE-2019-14491: An issue was discovered in OpenCV before 3.4.7 and 4.x before 4.1.1. There is an out of bounds read in the function cv::predictOrdered in…
PriorityP338high8.2CVSS 3.0
AVNACLPRNUINSUCLINAH
EPSS
2.65%
83.9th percentile
An issue was discovered in OpenCV before 3.4.7 and 4.x before 4.1.1. 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
10 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| debian | opencv | < opencv 4.1.2+dfsg-3 (bookworm) | opencv 4.1.2+dfsg-3 (bookworm) |
| opencv | opencv | < 3.4.7 | 3.4.7 |
| opencv | opencv | >= 0 < 4.1.2+dfsg-3 | 4.1.2+dfsg-3 |
| opencv | opencv | >= 0 < 4.1.2+dfsg-3 | 4.1.2+dfsg-3 |
| opencv | opencv | >= 0 < 4.1.2+dfsg-3 | 4.1.2+dfsg-3 |
| opencv | opencv | >= 0 < 4.1.2+dfsg-3 | 4.1.2+dfsg-3 |
| opencv | opencv | >= 0 < 2.4.8+dfsg1-2ubuntu1.2+esm1 | 2.4.8+dfsg1-2ubuntu1.2+esm1 |
| opencv | opencv | >= 0 < 2.4.9.1+dfsg-1.5ubuntu1.1+esm1 | 2.4.9.1+dfsg-1.5ubuntu1.1+esm1 |
| opencv | opencv | >= 0 < 3.2.0+dfsg-4ubuntu0.1+esm3 | 3.2.0+dfsg-4ubuntu0.1+esm3 |
| opencv | opencv | >= 4.0.0 < 4.1.1 | 4.1.1 |
CVSS provenance
nvdv3.08.2HIGHCVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H
nvdv2.06.4MEDIUMAV:N/AC:L/Au:N/C:P/I:N/A:P
osv8.2HIGH
vendor_redhat9.8CRITICAL
vendor_debian8.2HIGH
vendor_ubuntu7.5HIGH
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OSV
opencv vulnerabilities
osv·2022-09-28·CVSS 7.5
CVE-2019-15939 [HIGH] opencv vulnerabilities
opencv vulnerabilities
It was discovered that OpenCV did not properly manage certain
objects, leading to a divide-by-zero. If a user were tricked into
loading a specially crafted file, a remote attacker could potentially use
this issue to cause a denial of service or possibly execute arbitrary
code. (CVE-2019-15939)
It was discovered that OpenCV did not properly manage certain files,
leading to an out of bounds read. If a user were tricked into loading
a specially crafted file, a remote attacker could potentially use this
issue to make OpenCV crash, resulting in a denial of service. This issue
was only fixed in Ubuntu 18.04 ESM. (CVE-2019-14491, CVE-2019-14492)
It was discovered that OpenCV did not properly manage certain XML data,
leading to a NULL pointer dereference. If a user were t
GHSA
Out-of-bounds Read in OpenCV
ghsa·2021-10-12
CVE-2019-14491 [HIGH] CWE-125 Out-of-bounds Read in OpenCV
Out-of-bounds Read in OpenCV
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.
OSV
Out-of-bounds Read in OpenCV
osv·2021-10-12
CVE-2019-14491 [HIGH] Out-of-bounds Read in OpenCV
Out-of-bounds Read in OpenCV
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.
OSV
CVE-2019-14491: An issue was discovered in OpenCV before 3
osv·2019-08-01·CVSS 8.2
CVE-2019-14491 [HIGH] CVE-2019-14491: An issue was discovered in OpenCV before 3
An issue was discovered in OpenCV before 3.4.7 and 4.x before 4.1.1. There is an out of bounds read in the function cv::predictOrdered in modules/objdetect/src/cascadedetect.hpp, which leads to denial of service.
Ubuntu
OpenCV vulnerabilities
vendor_ubuntu·2022-09-28·CVSS 7.5
CVE-2019-15939 [HIGH] OpenCV vulnerabilities
Title: OpenCV vulnerabilities
Summary: Several security issues were fixed in OpenCV.
It was discovered that OpenCV did not properly manage certain
objects, leading to a divide-by-zero. If a user were tricked into
loading a specially crafted file, a remote attacker could potentially use
this issue to cause a denial of service or possibly execute arbitrary
code. (CVE-2019-15939)
It was discovered that OpenCV did not properly manage certain files,
leading to an out of bounds read. If a user were tricked into loading
a specially crafted file, a remote attacker could potentially use this
issue to make OpenCV crash, resulting in a denial of service. This issue
was only fixed in Ubuntu 18.04 ESM. (CVE-2019-14491, CVE-2019-14492)
It was discovered that OpenCV did not properly manage certain XM
Red Hat
dnsmasq: Improper bounds checking leads to a buffer overread
vendor_redhat·2019-08-09·CVSS 9.8
CVE-2019-14513 [CRITICAL] CWE-119 dnsmasq: Improper bounds checking leads to a buffer overread
dnsmasq: Improper bounds checking leads to a buffer overread
Improper bounds checking in Dnsmasq before 2.76 allows an attacker controlled DNS server to send large DNS packets that result in a read operation beyond the buffer allocated for the packet, a different vulnerability than CVE-2017-14491.
Statement: This issue does not affect the versions of dnsmasq as shipped with Red Hat Enterprise Linux 5, 6, 7, and 8.
In Red Hat OpenStack Platform, which currently supports Red Hat Enterprise Linux 7.7, the dnsmasq package is pulled directly from the rhel-7-server-rpms channel. Red Hat OpenStack Platform is therefore unaffected, but please ensure that the underlying Red Hat Enterprise Linux dnsmasq package is current.
Package: dnsmasq (Red Hat Enterprise Linux 5) - Not affected
Package: dns
Red Hat
opencv: out-of-bounds read in function cv::predictOrdered<cv::HaarEvaluator> in modules/objdetect/src/cascadedetect.hpp leads to dos
vendor_redhat·2019-08-01·CVSS 8.2
CVE-2019-14491 [HIGH] CWE-125 opencv: out-of-bounds read in function cv::predictOrdered<cv::HaarEvaluator> in modules/objdetect/src/cascadedetect.hpp leads to dos
opencv: out-of-bounds read in function cv::predictOrdered in modules/objdetect/src/cascadedetect.hpp leads to dos
An issue was discovered in OpenCV before 3.4.7 and 4.x before 4.1.1. There is an out of bounds read in the function cv::predictOrdered in modules/objdetect/src/cascadedetect.hpp, which leads to denial of service.
Statement: It's possible to cause opencv to attempt to read from incorrect or invalid memory when loading specially crafted classifiers (trained data used for object detection), possibly leading to a crash. Although it's technically possible that classifiers are used from untrusted sources, it's probably an unlikely case in practice.
Package: opencv (Red Hat Enterprise Linux 6) - Not affected
Package: opencv (Red Hat Enterprise Linux 7) - Will not fix
Package: ope
Debian
CVE-2019-14491: opencv - An issue was discovered in OpenCV before 3.4.7 and 4.x before 4.1.1. There is an...
vendor_debian·2019·CVSS 8.2
CVE-2019-14491 [HIGH] CVE-2019-14491: opencv - An issue was discovered in OpenCV before 3.4.7 and 4.x before 4.1.1. There is an...
An issue was discovered in OpenCV before 3.4.7 and 4.x before 4.1.1. There is an out of bounds read in the function cv::predictOrdered in modules/objdetect/src/cascadedetect.hpp, which leads to denial of service.
Scope: local
bookworm: resolved (fixed in 4.1.2+dfsg-3)
bullseye: resolved (fixed in 4.1.2+dfsg-3)
forky: resolved (fixed in 4.1.2+dfsg-3)
sid: resolved (fixed in 4.1.2+dfsg-3)
trixie: resolved (fixed in 4.1.2+dfsg-3)
No detection rules found.
No public exploits indexed.
arXiv
Threat Assessment in Machine Learning based Systems
arxiv_fulltext·2022-06-30
Threat Assessment in Machine Learning based Systems
Threat Assessment in Machine Learning based Systems
Lionel Nganyewou Tidjon and Foutse Khomh, Senior Member, IEEE
The authors are with Polytechnique Montréal, Montréal, QC H3C 3A7, Canada.
E-mail: \lionel.tidjon, foutse.khomh\@polymtl.ca
## Abstract
Machine learning is a field of artificial intelligence (AI) that is becoming essential for several critical systems, making it a good target for threat actors. Threat actors exploit different Tactics, Techniques, and Procedures (TTPs) against the confidentiality, integrity, and availability of Machine Learning (ML) systems.
During the ML
cycle, they exploit adversarial TTPs to poison data and fool ML-based systems. In recent years, multiple security practices have been proposed for traditional systems but they are not enough to cope with th
Bugzilla
CVE-2019-14491 opencv: out-of-bounds read in function cv::predictOrdered<cv::HaarEvaluator> in modules/objdetect/src/cascadedetect.hpp leads to dos [fedora-all]
bugzilla·2019-09-13·CVSS 8.2
CVE-2019-14491 [HIGH] CVE-2019-14491 opencv: out-of-bounds read in function cv::predictOrdered<cv::HaarEvaluator> in modules/objdetect/src/cascadedetect.hpp leads to dos [fedora-all]
CVE-2019-14491 opencv: out-of-bounds read in function cv::predictOrdered in modules/objdetect/src/cascadedetect.hpp leads to dos [fedora-all]
This is an automatically created tracking bug! It was created to ensure
that one or more security vulnerabilities are fixed in affected versions
of fedora-all.
For comments that are specific to the vulnerability please use bugs filed
against the "Security Response" product referenced in the "Blocks" field.
For more information see:
http://fedoraproject.org/wiki/Security/TrackingBugs
When submitting as an update, use the fedpkg template provided in the next
comment(s). This will include the bug IDs of this tracking bug as well as
the relevant top-level CVE bugs.
Please also mention the CVE IDs being fixed in the RPM changelog and the
fedpkg commi
Bugzilla
CVE-2019-14491 opencv: out-of-bounds read in function cv::predictOrdered<cv::HaarEvaluator> in modules/objdetect/src/cascadedetect.hpp leads to dos
bugzilla·2019-09-13·CVSS 8.2
CVE-2019-14491 [HIGH] CVE-2019-14491 opencv: out-of-bounds read in function cv::predictOrdered<cv::HaarEvaluator> in modules/objdetect/src/cascadedetect.hpp leads to dos
CVE-2019-14491 opencv: out-of-bounds read in function cv::predictOrdered in modules/objdetect/src/cascadedetect.hpp leads to dos
An issue was discovered in OpenCV before 3.4.7 and 4.x before 4.1.1. There is an out of bounds read in the function cv::predictOrdered in modules/objdetect/src/cascadedetect.hpp, which leads to denial of service.
Reference:
https://github.com/opencv/opencv/compare/371bba8...ddbd10c
https://github.com/opencv/opencv/issues/15125
https://github.com/opencv/opencv/compare/33b765d...4a7ca5a
Discussion:
Created opencv tracking bugs for this issue:
Affects: fedora-all [bug 1752026]
---
Patch:
https://github.com/opencv/opencv/commit/321c74ccd6077bdea1d47450ca4fe955cb5b6330
---
Statement:
It's possible to cause opencv to attempt to read from incorrect or invalid
Bugzilla
CVE-2019-14513 dnsmasq: Improper bounds checking leads to a buffer overread
bugzilla·2019-08-09·CVSS 9.8
CVE-2019-14513 [CRITICAL] CVE-2019-14513 dnsmasq: Improper bounds checking leads to a buffer overread
CVE-2019-14513 dnsmasq: Improper bounds checking leads to a buffer overread
Improper bounds checking in Dnsmasq before 2.76 allows an attacker controlled DNS server to send large DNS packets that result in a read operation beyond the buffer allocated for the packet, a different vulnerability than CVE-2017-14491.
Upstream Issue:
https://github.com/Slovejoy/dnsmasq-pre2.76
Discussion:
This commit fixes the problem for me:
http://thekelleys.org.uk/gitweb/?p=dnsmasq.git;a=commitdiff;h=d3a8b39c7df2f0debf3b5f274a1c37a9e261f94e
---
This bug is now closed. Further updates for individual products will be reflected on the CVE page(s):
https://access.redhat.com/security/cve/cve-2019-14513
---
Statement:
This issue does not affect the versions of dnsmasq as shipped with Red Hat Enterprise L
http://lists.opensuse.org/opensuse-security-announce/2019-12/msg00025.htmlhttps://github.com/opencv/opencv/compare/33b765d...4a7ca5ahttps://github.com/opencv/opencv/compare/371bba8...ddbd10chttps://github.com/opencv/opencv/issues/15125https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/HPFLN6QAX6SUA4XR4NMKKXX26H3TYCVQ/http://lists.opensuse.org/opensuse-security-announce/2019-12/msg00025.htmlhttps://github.com/opencv/opencv/compare/33b765d...4a7ca5ahttps://github.com/opencv/opencv/compare/371bba8...ddbd10chttps://github.com/opencv/opencv/issues/15125https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/HPFLN6QAX6SUA4XR4NMKKXX26H3TYCVQ/
2019-08-01
Published