Cyber Resilience

CVE-2023-48693

High

Published: 05 December 2023

Published
05 December 2023
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 8.7 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:L
EPSS Score 0.0071 72.8th percentile
Risk Priority 18 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2023-48693 is a high-severity Improper Input Validation (CWE-20) vulnerability in Microsoft Azure Rtos Threadx. Its CVSS base score is 8.7 (High).

Operationally, ranked in the top 27.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

Azure RTOS ThreadX is an advanced real-time operating system (RTOS) designed specifically for deeply embedded applications. An attacker can cause arbitrary read and write due to vulnerability in parameter checking mechanism in Azure RTOS ThreadX, which may lead to privilege…

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escalation. The affected components include RTOS ThreadX v6.2.1 and below. The fixes have been included in ThreadX release 6.3.0. Users are advised to upgrade. There are no known workarounds for this vulnerability.

CWE(s)

Related Threats

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

Affected Assets

microsoft
azure rtos threadx
≤ 6.3.0

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