CVE-2024-37373
Published: 14 August 2024
Summary
CVE-2024-37373 is a high-severity Improper Input Validation (CWE-20) vulnerability in Ivanti Avalanche. Its CVSS base score is 7.2 (High).
Operationally, ranked in the top 13.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2024-37373 is an improper input validation flaw, tracked under CWE-20, that affects the Central Filestore component of Ivanti Avalanche version 6.3.1. The vulnerability received a CVSS v3.1 score of 7.2 and permits remote code execution when triggered.
A remote attacker who is already authenticated with administrative privileges can supply crafted input to the Central Filestore and obtain arbitrary code execution on the server. No user interaction is required, and the attack can be performed over the network.
The referenced Ivanti security advisory addresses this issue together with several related CVEs and indicates that the problem is resolved in Avalanche 6.4.4.
EPSS for the CVE rose from a low baseline to a peak of 0.0682 on 2026-01-13 before receding to its current value of 0.0296, indicating a period of increased exploitation interest after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-36620
Vulnerability details
Improper input validation in the Central Filestore in Ivanti Avalanche 6.3.1 allows a remote authenticated attacker with admin rights to achieve RCE.
- 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.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Directly implements checks on information inputs to reject invalid data before processing.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.