CVE-2022-31066
Published: 14 June 2022
Summary
CVE-2022-31066 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Edgexfoundry Edgex Foundry. Its CVSS base score is 5.9 (Medium).
Operationally, ranked at the 36.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-6047
Vulnerability details
EdgeX Foundry is an open source project for building a common open framework for Internet of Things edge computing. Prior to version 2.1.1, the /api/v2/config endpoint exposes message bus credentials to local unauthenticated users. In security-enabled mode, message bus credentials…
more
are supposed to be kept in the EdgeX secret store and require authentication to access. This vulnerability bypasses the access controls on message bus credentials when running in security-enabled mode. (No credentials are required when running in security-disabled mode.) As a result, attackers could intercept data or inject fake data into the EdgeX message bus. Users should upgrade to EdgeXFoundry Kamakura release (2.2.0) or to the June 2022 EdgeXFoundry LTS Jakarta release (2.1.1) to receive a patch. More information about which go modules, docker containers, and snaps contain patches is available in the GitHub Security Advisory. There are currently no known workarounds for this issue.
- 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.