CVE-2022-0851
Published: 29 August 2022
Summary
CVE-2022-0851 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Redhat Enterprise Linux. Its CVSS base score is 5.5 (Medium).
Operationally, ranked at the 30.2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-15894
Vulnerability details
There is a flaw in convert2rhel. When the --activationkey option is used with convert2rhel, the activation key is subsequently passed to subscription-manager via the command line, which could allow unauthorized users locally on the machine to view the activation key…
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via the process command line via e.g. htop or ps. The specific impact varies upon the subscription, but generally this would allow an attacker to register systems purchased by the victim until discovered; a form of fraud. This could occur regardless of how the activation key is supplied to convert2rhel because it involves how convert2rhel provides it to subscription-manager.
- 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.