CVE-2019-9423
published 2019-09-27CVE-2019-9423: In opencv calls that use libpng, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege with…
PriorityP338high7.8CVSS 3.1
AVLACLPRLUINSUCHIHAH
EPSS
0.29%
21.6th percentile
In opencv calls that use libpng, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege with no additional execution privileges required. User interaction is not required for exploitation. Product: AndroidVersions: Android-10Android ID: A-110986616
Affected
2 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| android | — | — | |
| android | — | — |
CVSS provenance
nvdv3.17.8HIGHCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
nvdv2.04.6MEDIUMAV:L/AC:L/Au:N/C:P/I:P/A:P
osv7.8HIGH
vendor_redhat7.8HIGH
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GHSA
Out-of-bounds Write in OpenCV
ghsa·2021-10-12
CVE-2019-9423 [HIGH] CWE-787 Out-of-bounds Write in OpenCV
Out-of-bounds Write in OpenCV
In opencv calls that use libpng, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege with no additional execution privileges required. User interaction is not required for exploitation. Product: AndroidVersions: Android-10Android ID: A-110986616
OSV
Out-of-bounds Write in OpenCV
osv·2021-10-12
CVE-2019-9423 [HIGH] Out-of-bounds Write in OpenCV
Out-of-bounds Write in OpenCV
In opencv calls that use libpng, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege with no additional execution privileges required. User interaction is not required for exploitation. Product: AndroidVersions: Android-10Android ID: A-110986616
OSV
CVE-2019-9423: In opencv calls that use libpng, there is a possible out of bounds write due to a missing bounds check
osv·2019-09-27·CVSS 7.8
CVE-2019-9423 [HIGH] CVE-2019-9423: In opencv calls that use libpng, there is a possible out of bounds write due to a missing bounds check
In opencv calls that use libpng, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege with no additional execution privileges required. User interaction is not required for exploitation. Product: AndroidVersions: Android-10Android ID: A-110986616
Red Hat
opencv: Out of bounds write due to missing bounds check
vendor_redhat·2019-11-07·CVSS 7.8
CVE-2019-9423 [HIGH] CWE-119 opencv: Out of bounds write due to missing bounds check
opencv: Out of bounds write due to missing bounds check
In opencv calls that use libpng, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege with no additional execution privileges required. User interaction is not required for exploitation. Product: AndroidVersions: Android-10Android ID: A-110986616
Package: opencv (Red Hat Enterprise Linux 6) - Not affected
Package: opencv (Red Hat Enterprise Linux 7) - Not affected
Package: opencv (Red Hat Enterprise Linux 8) - Not affected
No detection rules found.
No public exploits indexed.
Bugzilla
CVE-2019-9423 opencv: Out of bounds write due to missing bounds check
bugzilla·2020-01-09·CVSS 7.8
CVE-2019-9423 [HIGH] CVE-2019-9423 opencv: Out of bounds write due to missing bounds check
CVE-2019-9423 opencv: Out of bounds write due to missing bounds check
In opencv calls that use libpng, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege with no additional execution privileges required. User interaction is not required for exploitation.
References:
http://www.openwall.com/lists/oss-security/2019/10/25/17
http://www.openwall.com/lists/oss-security/2019/10/27/1
http://www.openwall.com/lists/oss-security/2019/11/07/1
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
http://www.openwall.com/lists/oss-security/2019/10/25/17http://www.openwall.com/lists/oss-security/2019/10/27/1http://www.openwall.com/lists/oss-security/2019/11/07/1http://www.openwall.com/lists/oss-security/2020/12/05/1https://source.android.com/security/bulletin/android-10http://www.openwall.com/lists/oss-security/2019/10/25/17http://www.openwall.com/lists/oss-security/2019/10/27/1http://www.openwall.com/lists/oss-security/2019/11/07/1http://www.openwall.com/lists/oss-security/2020/12/05/1https://source.android.com/security/bulletin/android-10
2019-09-27
Published