CVE-2020-36660
Published: 06 February 2023
Summary
CVE-2020-36660 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Eve Ship Replacement Program Project Eve Ship Replacement Program. Its CVSS base score is 4.3 (Medium).
Operationally, ranked at the 47.5th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-0075
Vulnerability details
A vulnerability was found in paxswill EVE Ship Replacement Program 0.12.11. It has been rated as problematic. This issue affects some unknown processing of the file src/evesrp/views/api.py of the component User Information Handler. The manipulation leads to information disclosure. The…
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attack may be initiated remotely. Upgrading to version 0.12.12 is able to address this issue. The patch is named 9e03f68e46e85ca9c9694a6971859b3ee66f0240. It is recommended to upgrade the affected component. The associated identifier of this vulnerability is VDB-220211.
- 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.