D2L Learning Management System 20.21.7 Quizzing protection mechanism

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
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6.1$0-$5k0.00

Summaryinfo

A vulnerability marked as problematic has been reported in D2L Learning Management System 20.21.7. The impacted element is an unknown function of the component Quizzing. This manipulation causes protection mechanism. This vulnerability is tracked as CVE-2021-43129. The attack is possible to be carried out remotely. No exploit exists. The suggested workaround should be applied.

Detailsinfo

A vulnerability classified as critical was found in D2L Learning Management System 20.21.7 (Learning Management Software). Affected by this vulnerability is an unknown code of the component Quizzing. The manipulation with an unknown input leads to a protection mechanism vulnerability. The CWE definition for the vulnerability is CWE-693. The product does not use or incorrectly uses a protection mechanism that provides sufficient defense against directed attacks against the product. As an impact it is known to affect confidentiality, integrity, and availability.

The weakness was disclosed 04/19/2022. The advisory is shared at github.com. This vulnerability is known as CVE-2021-43129 since 11/01/2021. Neither technical details nor an exploit are publicly available.

The best possible mitigation is suggested to be Workaround.

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.3
VulDB Meta Temp Score: 6.1

VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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💳💳💳💳💳💳
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Protection mechanism
CWE: CWE-693
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Workaround
Status: 🔍

0-Day Time: 🔍

Workaround: community.brightspace.com

Timelineinfo

11/01/2021 🔍
04/19/2022 +168 days 🔍
04/19/2022 +0 days 🔍
04/21/2022 +2 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2021-43129 (🔍)
GCVE (CVE): GCVE-0-2021-43129
GCVE (VulDB): GCVE-100-197677

Entryinfo

Created: 04/19/2022 17:46
Updated: 04/21/2022 20:33
Changes: 04/19/2022 17:46 (38), 04/21/2022 17:50 (1), 04/21/2022 20:33 (4)
Complete: 🔍
Committer: plloyd
Cache ID: 216::103

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Discussion

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