CVE-2017-20178
Published: 21 February 2023
Summary
CVE-2017-20178 is a low-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Codiad Codiad. Its CVSS base score is 3.1 (Low).
Operationally, ranked in the top 47.0% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-0602
Vulnerability details
** UNSUPPORTED WHEN ASSIGNED ** A vulnerability was found in Codiad 2.8.0. It has been rated as problematic. Affected by this issue is the function saveJSON of the file components/install/process.php. The manipulation of the argument data leads to information disclosure.…
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The attack may be launched remotely. The complexity of an attack is rather high. The exploitation is known to be difficult. Upgrading to version 2.8.1 is able to address this issue. The patch is identified as 517119de673e62547ee472a730be0604f44342b5. It is recommended to upgrade the affected component. VDB-221498 is the identifier assigned to this vulnerability. NOTE: This vulnerability only affects products that are no longer supported by the maintainer.
- 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.