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The software environment for training and deploying deep neural networks, Apache MXNet, has vulnerabilities related to uncontrolled resource consumption. This allows attackers to trigger service failures.

🗓️ 02 Aug 2022 00:00:00Reported by FSTEC of Russia — Information Security Threat DatabaseType 
bdu_fstec
 bdu_fstec
🔗 bdu.fstec.ru👁 24 Views

Apache MXNet vulnerabilities cause uncontrolled resource use during model loading by operator names, risking service failures.

Related
Detection
Refs
ReporterTitlePublishedViews
Family
attackerkb
attackerkb
CVE-2022-24294
24 Jul 202218:15
–attackerkb
circl
Circl
CVE-2022-24294
24 Jul 202222:51
–circl
cnnvd
CNNVD
Apache MXNet 安全漏洞
24 Jul 202200:00
–cnnvd
cve
CVE
CVE-2022-24294
24 Jul 202217:45
–cve
cvelist
Cvelist
CVE-2022-24294 ReDoS in Apache MXNet RTC Module
24 Jul 202217:45
–cvelist
euvd
EUVD
EUVD-2022-6456
3 Oct 202520:07
–euvd
github
Github Security Blog
Apache MXNet vulnerable to potential denial-of-service by excessive resource consumption
25 Jul 202200:00
–github
mend
Mend
CVE-2022-24294
24 Jul 202217:45
–mend
nvd
NVD
CVE-2022-24294
24 Jul 202218:15
–nvd
osv
OSV
BIT-MXNET-2022-24294
6 Nov 202308:56
–osv
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Vulners
Node
apachemxnetRange<1.9.1

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02 Aug 2022 00:00Current
7.2High risk
Vulners AI Score7.2
CVSS 38.8
CVSS 210
EPSS0.01882
24