CVE-2021-32690
Published: 16 June 2021
Summary
CVE-2021-32690 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Helm Helm. Its CVSS base score is 6.8 (Medium).
Operationally, ranked in the top 39.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2021-1265
Vulnerability details
Helm is a tool for managing Charts (packages of pre-configured Kubernetes resources). In versions of helm prior to 3.6.1, a vulnerability exists where the username and password credentials associated with a Helm repository could be passed on to another domain…
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referenced by that Helm repository. This issue has been resolved in 3.6.1. There is a workaround through which one may check for improperly passed credentials. One may use a username and password for a Helm repository and may audit the Helm repository in order to check for another domain being used that could have received the credentials. In the `index.yaml` file for that repository, one may look for another domain in the `urls` list for the chart versions. If there is another domain found and that chart version was pulled or installed, the credentials would be passed on.
- 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.