CVE-2023-5642
Published: 18 October 2023
Summary
CVE-2023-5642 is a critical-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Advantech R-Seenet. Its CVSS base score is 9.8 (Critical).
Operationally, ranked in the top 1.9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
Advantech R-SeeNet version 2.4.23 contains a vulnerability that permits unauthenticated remote attackers to read from and write to the snmpmon.ini configuration file, which stores sensitive information. The flaw is tracked as CVE-2023-5642 with a CVSS v3.1 score of 9.8, reflecting network-accessible attack vectors that require no authentication or user interaction and result in high impacts to confidentiality, integrity, and availability.
An attacker with network reachability to an affected R-SeeNet instance can directly access and modify the snmpmon.ini file, exposing credentials or other sensitive data and potentially altering monitoring behavior or enabling further compromise of the system.
The associated EPSS score stands at 0.5598 with no material change from its recorded peak, indicating sustained exploitation interest since disclosure. No vendor advisory or patch details are provided in the available references.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-57935
Vulnerability details
Advantech R-SeeNet v2.4.23 allows an unauthenticated remote attacker to read from and write to the snmpmon.ini file, which contains sensitive information.
- 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.