CVE-2024-38086: CWE-197: Numeric Truncation Error in Microsoft Azure Kinect SDK
Azure Kinect SDK Remote Code Execution Vulnerability
AI Analysis
Technical Summary
CVE-2024-38086 is a vulnerability classified under CWE-197 (Numeric Truncation Error) found in Microsoft Azure Kinect SDK version 1.0.0. This SDK is used for advanced spatial sensing and AI applications, often integrated into robotics, healthcare, and industrial automation. The vulnerability stems from improper handling of numeric data, where truncation errors can corrupt memory or logic flows, enabling remote attackers to execute arbitrary code on affected systems. The CVSS 3.1 score of 6.4 reflects a medium severity with attack vector being 'physical network' (AV:P), high attack complexity (AC:H), no privileges required (PR:N), no user interaction (UI:N), and impacts on confidentiality, integrity, and availability (all high). The vulnerability does not require authentication or user interaction, increasing its risk profile in environments where the SDK is exposed to network access. No known exploits have been reported yet, and Microsoft has not released patches at the time of publication. The numeric truncation error can cause unexpected behavior in memory management or control flow, which attackers can leverage to gain remote code execution capabilities. This poses a significant risk to systems relying on Azure Kinect SDK for critical sensing and AI functions.
Potential Impact
For European organizations, the impact of CVE-2024-38086 can be substantial, especially in sectors utilizing Azure Kinect SDK for robotics, healthcare imaging, manufacturing automation, or AI-driven spatial analysis. Successful exploitation could lead to unauthorized code execution, resulting in data breaches, manipulation of sensor data, disruption of automated processes, or complete system compromise. This threatens confidentiality by exposing sensitive data, integrity by allowing tampering with sensor outputs or system logic, and availability by potentially causing system crashes or denial of service. Given the SDK’s use in emerging technologies, the vulnerability could affect critical infrastructure or safety-critical applications. The medium CVSS score suggests moderate ease of exploitation due to network access requirements and high attack complexity, but the lack of need for privileges or user interaction increases the attack surface in exposed environments. European organizations with cloud deployments or network-exposed Azure Kinect SDK instances are particularly at risk.
Mitigation Recommendations
1. Immediately restrict network access to devices and systems running Azure Kinect SDK version 1.0.0, limiting exposure to trusted internal networks only. 2. Implement strict network segmentation and firewall rules to prevent unauthorized external access to the SDK services. 3. Monitor network traffic and system logs for unusual activity or signs of exploitation attempts targeting the SDK. 4. Prepare incident response plans specific to Azure Kinect SDK compromise scenarios, including isolating affected systems. 5. Engage with Microsoft support channels to obtain updates on patches or workarounds as they become available. 6. Consider temporary disabling or replacing the SDK in critical environments until a patch is released. 7. Conduct thorough code reviews and testing if custom integrations with the SDK exist to identify potential exploitation vectors. 8. Educate relevant IT and security teams about the vulnerability and ensure rapid deployment of fixes once released.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland, Italy
CVE-2024-38086: CWE-197: Numeric Truncation Error in Microsoft Azure Kinect SDK
Description
Azure Kinect SDK Remote Code Execution Vulnerability
AI-Powered Analysis
Technical Analysis
CVE-2024-38086 is a vulnerability classified under CWE-197 (Numeric Truncation Error) found in Microsoft Azure Kinect SDK version 1.0.0. This SDK is used for advanced spatial sensing and AI applications, often integrated into robotics, healthcare, and industrial automation. The vulnerability stems from improper handling of numeric data, where truncation errors can corrupt memory or logic flows, enabling remote attackers to execute arbitrary code on affected systems. The CVSS 3.1 score of 6.4 reflects a medium severity with attack vector being 'physical network' (AV:P), high attack complexity (AC:H), no privileges required (PR:N), no user interaction (UI:N), and impacts on confidentiality, integrity, and availability (all high). The vulnerability does not require authentication or user interaction, increasing its risk profile in environments where the SDK is exposed to network access. No known exploits have been reported yet, and Microsoft has not released patches at the time of publication. The numeric truncation error can cause unexpected behavior in memory management or control flow, which attackers can leverage to gain remote code execution capabilities. This poses a significant risk to systems relying on Azure Kinect SDK for critical sensing and AI functions.
Potential Impact
For European organizations, the impact of CVE-2024-38086 can be substantial, especially in sectors utilizing Azure Kinect SDK for robotics, healthcare imaging, manufacturing automation, or AI-driven spatial analysis. Successful exploitation could lead to unauthorized code execution, resulting in data breaches, manipulation of sensor data, disruption of automated processes, or complete system compromise. This threatens confidentiality by exposing sensitive data, integrity by allowing tampering with sensor outputs or system logic, and availability by potentially causing system crashes or denial of service. Given the SDK’s use in emerging technologies, the vulnerability could affect critical infrastructure or safety-critical applications. The medium CVSS score suggests moderate ease of exploitation due to network access requirements and high attack complexity, but the lack of need for privileges or user interaction increases the attack surface in exposed environments. European organizations with cloud deployments or network-exposed Azure Kinect SDK instances are particularly at risk.
Mitigation Recommendations
1. Immediately restrict network access to devices and systems running Azure Kinect SDK version 1.0.0, limiting exposure to trusted internal networks only. 2. Implement strict network segmentation and firewall rules to prevent unauthorized external access to the SDK services. 3. Monitor network traffic and system logs for unusual activity or signs of exploitation attempts targeting the SDK. 4. Prepare incident response plans specific to Azure Kinect SDK compromise scenarios, including isolating affected systems. 5. Engage with Microsoft support channels to obtain updates on patches or workarounds as they become available. 6. Consider temporary disabling or replacing the SDK in critical environments until a patch is released. 7. Conduct thorough code reviews and testing if custom integrations with the SDK exist to identify potential exploitation vectors. 8. Educate relevant IT and security teams about the vulnerability and ensure rapid deployment of fixes once released.
Affected Countries
For access to advanced analysis and higher rate limits, contact root@offseq.com
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- microsoft
- Date Reserved
- 2024-06-11T22:36:08.182Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682d981ec4522896dcbdb95a
Added to database: 5/21/2025, 9:08:46 AM
Last enriched: 10/14/2025, 11:31:52 PM
Last updated: 10/16/2025, 10:09:25 AM
Views: 20
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Related Threats
CVE-2024-45324: Execute unauthorized code or commands in Fortinet FortiOS
HighCVE-2024-40588: Improper access control in Fortinet FortiNDR
MediumCVE-2025-6338: CWE-459 Incomplete Cleanup in The Qt Company Qt
CriticalFour-Year Prison Sentence for PowerSchool Hacker
MediumCVE-2025-55091: CWE-125 Out-of-bounds Read in Eclipse Foundation NetX Duo
MediumActions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
External Links
Need enhanced features?
Contact root@offseq.com for Pro access with improved analysis and higher rate limits.