5.5
CVE-2021-1372
- EPSS 0.05%
- Published 17.02.2021 17:15:13
- Last modified 21.11.2024 05:44:12
- Source psirt@cisco.com
- Teams watchlist Login
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A vulnerability in Cisco Webex Meetings Desktop App and Webex Productivity Tools for Windows could allow an authenticated, local attacker to gain access to sensitive information on an affected system. This vulnerability is due to the unsafe usage of shared memory by the affected software. An attacker with permissions to view system memory could exploit this vulnerability by running an application on the local system that is designed to read shared memory. A successful exploit could allow the attacker to retrieve sensitive information from the shared memory, including usernames, meeting information, or authentication tokens. Note: To exploit this vulnerability, an attacker must have valid credentials on a Microsoft Windows end-user system and must log in after another user has already authenticated with Webex on the same end-user system.
Data is provided by the National Vulnerability Database (NVD)
Cisco ≫ Webex Meetings SwEditionslow_channel Version < 40.6
Cisco ≫ Webex Meetings SwEditionlatest_channel Version < 40.10
Cisco ≫ Webex Meetings Server Version < 4.0
Cisco ≫ Webex Meetings Server Version4.0 Update-
Cisco ≫ Webex Meetings Server Version4.0 Updatemaintenance_release1
Cisco ≫ Webex Meetings Server Version4.0 Updatemaintenance_release2
Cisco ≫ Webex Meetings Server Version4.0 Updatemaintenance_release3
Cisco ≫ Webex Meetings Server Version4.0 Updatemaintenance_release3_security_patch3
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
Type | Source | Score | Percentile |
---|---|---|---|
EPSS | FIRST.org | 0.05% | 0.112 |
Source | Base Score | Exploit Score | Impact Score | Vector string |
---|---|---|---|---|
nvd@nist.gov | 5.5 | 1.8 | 3.6 |
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
|
nvd@nist.gov | 2.1 | 3.9 | 2.9 |
AV:L/AC:L/Au:N/C:P/I:N/A:N
|
psirt@cisco.com | 5.5 | 1.8 | 3.6 |
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
|
CWE-202 Exposure of Sensitive Information Through Data Queries
When trying to keep information confidential, an attacker can often infer some of the information by using statistics.