CVE-2023-2749
Published: 31 May 2023
Summary
CVE-2023-2749 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Asustor Adm. Its CVSS base score is 8.6 (High).
Operationally, ranked in the top 45.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-34210
Vulnerability details
Download Center fails to properly validate the file path submitted by a user, An attacker can exploit this vulnerability to gain unauthorized access to sensitive files or directories without appropriate permission restrictions. Download Center on ADM 4.0 and above will…
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be affected. Affected products and versions include: Download Center 1.1.5.r1280 and below.
- 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.
Requires documented processes that include setting and maintaining correct default permissions for configuration items.
Access control policy can specify and enforce secure default permissions for resources.
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.