CVE-2024-39344
Published: 21 August 2024
Summary
CVE-2024-39344 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Deneyed (inferred from references). Its CVSS base score is 8.1 (High).
Operationally, ranked at the 44.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-37908
Vulnerability details
An issue was discovered in the Docusign API package 8.142.14 for Salesforce. The Apttus_DocuApi__DocusignAuthentication__mdt object is installed via the marketplace from this package and stores some configuration information in a manner that could be compromised. With the default settings when…
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installed for all users, the object can be accessible and (via its fields) could disclose some keys. These disclosed components can be combined to create a valid session via the Docusign API. This will generally lead to a complete compromise of the Docusign account because the session is for an administrator service account and may have permission to re-authenticate as specific users with the same authorization flow.
- 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.