CVE-2025-23173
Published: 19 June 2025
Summary
CVE-2025-23173 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Versa Networks (inferred from references). Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 25.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-18672
Vulnerability details
The Versa Director SD-WAN orchestration platform provides direct web-based access to uCPE virtual machines through the Director GUI. By default, the websockify service is exposed on port 6080 and accessible from the internet. This exposure introduces significant risk, as websockify…
more
has known weaknesses that can be exploited, potentially leading to remote code execution. Versa Networks is not aware of any reported instance where this vulnerability was exploited. Proof of concept for this vulnerability has been disclosed by third party security researchers. Workarounds or Mitigation: Restrict access to TCP port 6080 if uCPE console access is not necessary. Versa recommends that Director be upgraded to one of the remediated software versions.
- 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.