CVE-2023-32312
Published: 09 June 2023
Summary
CVE-2023-32312 is a low-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Umbraco Umbraco Identity Extensibility. Its CVSS base score is 3.7 (Low).
Operationally, ranked in the top 49.3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-36562
Vulnerability details
UmbracoIdentityExtensions is an Umbraco add-on package that enables easy extensibility points for ASP.Net Identity integration. In affected versions client secrets are not required which may expose some endpoints to untrusted actors. Since Umbraco is not a single-page application, the implicit…
more
flow is not safe. For traditional MVC applications, it is recommended to use the authorization code flow, which requires the client to authenticate with the authorization server using a client secret. This flow provides better security, as it involves exchanging an authorization code for an access token and/or ID token, rather than directly returning tokens in the URL fragment. This issue has been patched in commit `e792429f9` and a release to Nuget is pending. Users are advised to upgrade when possible.
- 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.