CVE-2025-34051
Published: 01 July 2025
Summary
CVE-2025-34051 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Avtech (inferred from references). Its CVSS base score is 6.9 (Medium).
Operationally, ranked in the top 39.0% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-19631
Vulnerability details
A server-side request forgery vulnerability exists in multiple firmware versions of AVTECH DVR devices that exposes the /cgi-bin/nobody/Search.cgi?action=cgi_query endpoint without authentication. An attacker can manipulate the ip, port, and queryb64str parameters to make arbitrary HTTP requests from the DVR to…
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internal or external systems, potentially exposing sensitive data or interacting with internal services.
- 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.
Penetration testing attempts to access or extract sensitive data, revealing exposure of sensitive information to unauthorized actors.
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.