CVE-2021-41251
Published: 05 November 2021
Summary
CVE-2021-41251 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Sap Cloud Sdk. Its CVSS base score is 5.9 (Medium).
Operationally, ranked in the top 43.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2021-2349
Vulnerability details
@sap-cloud-sdk/core contains the core functionality of the SAP Cloud SDK as well as the SAP Business Technology Platform abstractions. This affects applications on SAP Business Technology Platform that use the SAP Cloud SDK and enabled caching of destinations. In affected…
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versions and in some cases, when user information was missing, destinations were cached without user information, allowing other users to retrieve the same destination with its permissions. By default, destination caching is disabled. The security for caching has been increased. The changes are released in version 1.52.0. Users unable to upgrade are advised to disable destination caching (it is disabled by default).
- 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.