CVE-2023-4347
Published: 15 August 2023
Summary
CVE-2023-4347 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Librenms Librenms. Its CVSS base score is 5.4 (Medium).
Operationally, ranked in the top 1.0% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
CVE-2023-4347 is a reflected cross-site scripting vulnerability (CWE-79) affecting the LibreNMS network monitoring application in versions prior to 23.8.0. The flaw resides in the web interface and carries a CVSS 3.1 score of 5.4, reflecting network attack vector, low attack complexity, required low-privileged authentication, and user interaction.
An authenticated attacker can supply a crafted URL that, when visited by another user, executes arbitrary JavaScript in the victim’s browser context. Successful exploitation yields limited impacts on confidentiality and integrity with scope change, allowing actions such as session token theft or unauthorized configuration changes within the LibreNMS instance.
The referenced GitHub commit (91c57a1ee54631e071b6b0c952d99c8ee892e824) and associated huntr.dev report document the remediation; administrators should upgrade to LibreNMS 23.8.0 or later to eliminate the reflected XSS vectors. The EPSS score has reached a peak of 0.8103 with a current value of 0.7733, indicating sustained but not sharply rising exploitation interest since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-2325
Vulnerability details
Cross-site Scripting (XSS) - Reflected in GitHub repository librenms/librenms prior to 23.8.0.
- 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 submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Validates web inputs to reject script-related content that could produce XSS.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.