CVE-2024-39676
Published: 24 July 2024
Summary
CVE-2024-39676 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Apache Pinot. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 42.3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-2297
Vulnerability details
Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Apache Pinot. This issue affects Apache Pinot: from 0.1 before 1.0.0. Users are recommended to upgrade to version 1.0.0 and configure RBAC, which fixes the issue. Details: When using a…
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request to path “/appconfigs” to the controller, it can lead to the disclosure of sensitive information such as system information (e.g. arch, os version), environment information (e.g. maxHeapSize) and Pinot configurations (e.g. zookeeper path). This issue was addressed by the Role-based Access Control https://docs.pinot.apache.org/operators/tutorials/authentication/basic-auth-access-control , so that /appConfigs` and all other APIs can be access controlled. Only authorized users have access to it. Note the user needs to add the admin role accordingly to the RBAC guide to control access to this endpoint, and in the future version of Pinot, a default admin role is planned to be added.
- 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.