Cyber Resilience

CVE-2024-6658

High

Published: 12 September 2024

Published
12 September 2024
Modified
30 July 2025
KEV Added
Patch
CVSS Score v3.1 8.4 CVSS:3.1/AV:A/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H
EPSS Score 0.0018 38.8th percentile
Risk Priority 17 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-6658 is a high-severity Improper Input Validation (CWE-20) vulnerability in Progress Loadmaster. Its CVSS base score is 8.4 (High).

Operationally, ranked at the 38.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

Improper Input Validation vulnerability of Authenticated User in Progress LoadMaster allows OS Command Injection.This issue affects: Product Affected Versions LoadMaster From 7.2.55.0 to 7.2.60.0 (inclusive) From 7.2.49.0 to 7.2.54.11 (inclusive) 7.2.48.12 and all prior versions Multi-Tenant Hypervisor 7.1.35.11 and all…

more

prior versions ECS All prior versions to 7.2.60.0 (inclusive)

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

progress
multi-tenant loadmaster
≤ 7.1.35.12
progress
loadmaster
≤ 7.2.48.12 · 7.2.49.0 — 7.2.54.12 · 7.2.55.0 — 7.2.60.1

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.

addresses: CWE-20

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

addresses: CWE-20

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

addresses: CWE-20

Directly implements checks on information inputs to reject invalid data before processing.

addresses: CWE-20

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

References