CVE-2024-35223
Published: 23 May 2024
Summary
CVE-2024-35223 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability. Its CVSS base score is 5.3 (Medium).
Operationally, ranked in the top 36.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-1350
Vulnerability details
Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge. Dapr sends the app token of the invoker app instead of the app token of the invoked app. This causes of a leak of the application…
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token of the invoker app to the invoked app when using Dapr as a gRPC proxy for remote service invocation. This vulnerability impacts Dapr users who use Dapr as a gRPC proxy for remote service invocation as well as the Dapr App API token functionality. An attacker could exploit this vulnerability to gain access to the app token of the invoker app, potentially compromising security and authentication mechanisms. This vulnerability was patched in version 1.13.3.
- 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.