CVE-2023-45725
Published: 13 December 2023
Summary
CVE-2023-45725 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Apache Couchdb. Its CVSS base score is 5.7 (Medium).
Operationally, ranked at the 45.0th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-50014
Vulnerability details
Design document functions which receive a user http request object may expose authorization or session cookie headers of the user who accesses the document. These design document functions are: * list * show * rewrite * update An attacker can…
more
leak the session component using an HTML-like output, insert the session as an external resource (such as an image), or store the credential in a _local document with an "update" function. For the attack to succeed the attacker has to be able to insert the design documents into the database, then manipulate a user to access a function from that design document. Workaround: Avoid using design documents from untrusted sources which may attempt to access or manipulate request object's headers
- 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.