Cyber Resilience

CVE-2024-38086

Microsoft Azure Kinect Software Development Kit ≤ 1.4.2

Published
09 July 2024
Modified
21 November 2024
Patch / advisory
CVSS Score v3.1 6.4
Click a component to see what it means
Raw vectorCVSS:3.1/AV:P/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.0061 46th percentile
Risk Priority 50 floored blend · peak EPSS

Summary

CVE-2024-38086 is a medium-severity Numeric Truncation Error (CWE-197) vulnerability in Microsoft Azure Kinect Software Development Kit. Its CVSS base score is 6.4 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked at the 46th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SA-15 (Development Process, Standards, and Tools) — see the control section below for these in your framework.

EU & UK References

Vulnerability Data

Azure Kinect SDK Remote Code Execution Vulnerability

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1068 Exploitation for Privilege Escalation Privilege Escalation
Adversaries may exploit software vulnerabilities in an attempt to elevate privileges.
T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
T1203 Exploitation for Client Execution Execution
Adversaries may exploit software vulnerabilities in client applications to execute code.
T1210 Exploitation of Remote Services Lateral Movement
Adversaries may exploit remote services to gain unauthorized access to internal systems once inside of a network.
T1212 Exploitation for Credential Access Credential Access
Adversaries may exploit software vulnerabilities in an attempt to collect credentials.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

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Affected Assets

microsoft
azure kinect software development kit
≤ 1.4.2

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

Developer testing and evaluation can discover truncation errors through static analysis, dynamic testing, or code review.

Documented development standards and tools can mandate use of safe arithmetic libraries or explicit checks against truncation.

Engineering principles can require safe type conversions and avoidance of narrowing casts that cause truncation.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure SDLC practices directly prevent truncation errors via reviews, static analysis, and safe type handling.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

finds

Security testing can detect truncation bugs through static analysis and fuzzing.

prevents

Secure development lifecycle mandates practices that can catch numeric truncation during design and code review.

degrades

Application security requirements can specify safe numeric handling and data-type constraints.

degrades

Secure architecture principles include choosing appropriate data types and avoiding unsafe casts.

prevents

Secure coding standards directly prohibit unsafe narrowing conversions and truncation.

References