CVE-2022-20680
Published: 10 February 2022
Summary
CVE-2022-20680 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Cisco Prime Service Catalog. Its CVSS base score is 4.3 (Medium).
Operationally, ranked in the top 44.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-25930
Vulnerability details
A vulnerability in the web-based management interface of Cisco Prime Service Catalog could allow an authenticated, remote attacker to access sensitive information on an affected device. This vulnerability is due to improper enforcement of Administrator privilege levels for low-value sensitive…
more
data. An attacker with read-only Administrator access to the web-based management interface could exploit this vulnerability by sending a malicious HTTP request to the page that contains the sensitive data. A successful exploit could allow the attacker to collect sensitive information about users of the system and orders that have been placed using the application.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.