CVE-2024-52506
Published: 18 November 2024
Summary
CVE-2024-52506 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Graylog Graylog. Its CVSS base score is 7.1 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Databases (T1213.006); ranked in the top 39.3% 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-2024-3317
Vulnerability details
Graylog is a free and open log management platform. The reporting functionality in Graylog allows the creation and scheduling of reports which contain dashboard widgets displaying individual log messages or metrics aggregated from fields of multiple log messages. This functionality,…
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as included in Graylog 6.1.0 & 6.1.1, is vulnerable to information leakage triggered by multiple concurrent report rendering requests from authorized users. When multiple report renderings are requested at the same start time, the headless browser instance used to render the PDF will be reused. Depending on the timing, either a check for the browser instance "freshness" hits, resulting in an error instead of the report being returned, or one of the concurrent report rendering requests "wins" and this report is returned for all report rendering requests that do not return an error. This might lead to one user getting the report of a different user, potentially leaking indexed log messages or aggregated data that this user normally has no access to. This problem is fixed in Graylog 6.1.2. There is no known workaround besides disabling the reporting functionality.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The race condition in Graylog's PDF report rendering leaks other users' reports containing indexed log messages and aggregated data from the backend database, enabling/facilitating unauthorized Data from Databases (T1213.006) and Log Enumeration (T1654).
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.