CVE-2026-21224: CWE-121: Stack-based Buffer Overflow in Microsoft Azure Connected Machine Agent
Stack-based buffer overflow in Azure Connected Machine Agent allows an authorized attacker to elevate privileges locally.
AI Analysis
Technical Summary
CVE-2026-21224 is a stack-based buffer overflow vulnerability identified in Microsoft Azure Connected Machine Agent version 1.0.0. This vulnerability arises from improper handling of memory buffers on the stack, which can be exploited by an attacker with authorized local access to the system. By triggering this overflow, the attacker can overwrite critical memory regions, leading to privilege escalation on the affected machine. The flaw is categorized under CWE-121, indicating a classic stack-based buffer overflow issue. The vulnerability does not require user interaction but does require the attacker to have some level of local privileges (PR:L). The CVSS 3.1 base score is 7.8, indicating high severity, with impacts rated high on confidentiality, integrity, and availability. The attack vector is local (AV:L), and the attack complexity is low (AC:L), meaning exploitation is feasible once local access is obtained. No public exploits have been reported yet, and no patches were listed at the time of publication, though Microsoft is likely to release updates. This vulnerability is critical for environments where Azure Connected Machine Agent is deployed, as it could allow attackers to gain elevated privileges and potentially compromise the host system and connected cloud resources.
Potential Impact
For European organizations, this vulnerability poses a significant risk, especially those leveraging Microsoft Azure Connected Machine Agent for hybrid cloud or on-premises resource management. Successful exploitation can lead to local privilege escalation, enabling attackers to execute arbitrary code with elevated rights, potentially compromising sensitive data and disrupting operations. The impact extends to confidentiality, integrity, and availability of systems managed via the agent. Organizations in sectors with strict regulatory requirements (e.g., finance, healthcare, government) could face compliance violations and reputational damage if exploited. Given the local attack vector, insider threats or attackers who gain initial foothold via other means could leverage this vulnerability to deepen access. The absence of known exploits currently provides a window for proactive mitigation, but the high severity score underscores the urgency of addressing this issue.
Mitigation Recommendations
1. Monitor Microsoft’s official channels closely for patches or updates addressing CVE-2026-21224 and apply them promptly once released. 2. Restrict local access to systems running Azure Connected Machine Agent to trusted administrators only, minimizing the risk of unauthorized local exploitation. 3. Implement strict endpoint security controls, including application whitelisting and behavior-based detection, to identify anomalous activities indicative of exploitation attempts. 4. Conduct regular audits of user privileges and remove unnecessary local administrative rights to reduce the attack surface. 5. Employ host-based intrusion detection systems (HIDS) to monitor for unusual memory or process behaviors related to buffer overflow exploitation. 6. Use network segmentation to isolate critical systems running the agent, limiting lateral movement opportunities post-exploitation. 7. Educate IT staff about the vulnerability and encourage vigilance for signs of privilege escalation or suspicious local activity.
Affected Countries
Germany, United Kingdom, France, Netherlands, Sweden, Ireland
CVE-2026-21224: CWE-121: Stack-based Buffer Overflow in Microsoft Azure Connected Machine Agent
Description
Stack-based buffer overflow in Azure Connected Machine Agent allows an authorized attacker to elevate privileges locally.
AI-Powered Analysis
Technical Analysis
CVE-2026-21224 is a stack-based buffer overflow vulnerability identified in Microsoft Azure Connected Machine Agent version 1.0.0. This vulnerability arises from improper handling of memory buffers on the stack, which can be exploited by an attacker with authorized local access to the system. By triggering this overflow, the attacker can overwrite critical memory regions, leading to privilege escalation on the affected machine. The flaw is categorized under CWE-121, indicating a classic stack-based buffer overflow issue. The vulnerability does not require user interaction but does require the attacker to have some level of local privileges (PR:L). The CVSS 3.1 base score is 7.8, indicating high severity, with impacts rated high on confidentiality, integrity, and availability. The attack vector is local (AV:L), and the attack complexity is low (AC:L), meaning exploitation is feasible once local access is obtained. No public exploits have been reported yet, and no patches were listed at the time of publication, though Microsoft is likely to release updates. This vulnerability is critical for environments where Azure Connected Machine Agent is deployed, as it could allow attackers to gain elevated privileges and potentially compromise the host system and connected cloud resources.
Potential Impact
For European organizations, this vulnerability poses a significant risk, especially those leveraging Microsoft Azure Connected Machine Agent for hybrid cloud or on-premises resource management. Successful exploitation can lead to local privilege escalation, enabling attackers to execute arbitrary code with elevated rights, potentially compromising sensitive data and disrupting operations. The impact extends to confidentiality, integrity, and availability of systems managed via the agent. Organizations in sectors with strict regulatory requirements (e.g., finance, healthcare, government) could face compliance violations and reputational damage if exploited. Given the local attack vector, insider threats or attackers who gain initial foothold via other means could leverage this vulnerability to deepen access. The absence of known exploits currently provides a window for proactive mitigation, but the high severity score underscores the urgency of addressing this issue.
Mitigation Recommendations
1. Monitor Microsoft’s official channels closely for patches or updates addressing CVE-2026-21224 and apply them promptly once released. 2. Restrict local access to systems running Azure Connected Machine Agent to trusted administrators only, minimizing the risk of unauthorized local exploitation. 3. Implement strict endpoint security controls, including application whitelisting and behavior-based detection, to identify anomalous activities indicative of exploitation attempts. 4. Conduct regular audits of user privileges and remove unnecessary local administrative rights to reduce the attack surface. 5. Employ host-based intrusion detection systems (HIDS) to monitor for unusual memory or process behaviors related to buffer overflow exploitation. 6. Use network segmentation to isolate critical systems running the agent, limiting lateral movement opportunities post-exploitation. 7. Educate IT staff about the vulnerability and encourage vigilance for signs of privilege escalation or suspicious local activity.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- microsoft
- Date Reserved
- 2025-12-11T21:02:05.732Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 69668ae6a60475309f9ae27a
Added to database: 1/13/2026, 6:11:50 PM
Last enriched: 2/4/2026, 9:05:24 AM
Last updated: 2/5/2026, 6:38:17 PM
Views: 39
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