CVE-2025-49692: CWE-284: Improper Access Control in Microsoft Azure Connected Machine Agent
Improper access control in Azure Windows Virtual Machine Agent allows an authorized attacker to elevate privileges locally.
AI Analysis
Technical Summary
CVE-2025-49692 is a high-severity vulnerability classified under CWE-284 (Improper Access Control) affecting Microsoft Azure Connected Machine Agent version 1.0.0. This agent is used to connect Windows virtual machines to Azure management services, enabling hybrid cloud scenarios and centralized management. The vulnerability allows an authorized attacker with local access and low privileges (PR:L) to escalate their privileges on the affected system without requiring user interaction (UI:N). The attack vector is local (AV:L), meaning the attacker must already have some level of access to the machine. The vulnerability impacts confidentiality, integrity, and availability (all rated high), indicating that an attacker could gain full control over the system, access sensitive data, modify system configurations, or disrupt services. The CVSS 3.1 base score is 7.8, reflecting the significant risk posed by this flaw. The vulnerability does not require user interaction and has low attack complexity, making exploitation feasible once local access is obtained. No known exploits have been reported in the wild yet, and no patches or mitigations have been published at the time of this analysis. The improper access control likely stems from insufficient permission checks or flawed authorization logic within the Azure Connected Machine Agent, allowing privilege escalation from a limited user context to SYSTEM or equivalent high-level privileges.
Potential Impact
For European organizations, this vulnerability poses a substantial risk, especially for enterprises and public sector entities leveraging Azure hybrid cloud environments with Windows virtual machines connected via the Azure Connected Machine Agent. Successful exploitation could lead to full system compromise, enabling attackers to access confidential data, disrupt critical services, or move laterally within corporate networks. Given the high confidentiality, integrity, and availability impacts, organizations could face data breaches, operational downtime, and regulatory non-compliance issues under GDPR. The local attack vector means that insider threats or attackers who have already gained limited access through phishing or other means could escalate privileges, increasing the threat surface. This vulnerability is particularly concerning for sectors with sensitive data such as finance, healthcare, government, and critical infrastructure in Europe. The lack of a patch at present necessitates immediate risk management and mitigation efforts to prevent exploitation.
Mitigation Recommendations
European organizations should implement the following specific mitigations: 1) Restrict local access to systems running Azure Connected Machine Agent to trusted personnel only, employing strict access controls and monitoring. 2) Employ endpoint detection and response (EDR) solutions to detect unusual privilege escalation attempts or suspicious agent behavior. 3) Harden host configurations by applying the principle of least privilege, disabling unnecessary local accounts, and enforcing strong authentication mechanisms. 4) Monitor logs and audit trails for anomalous activities related to the Azure Connected Machine Agent processes. 5) Isolate critical systems running the vulnerable agent in segmented network zones to limit lateral movement. 6) Stay alert for official patches or updates from Microsoft and plan rapid deployment once available. 7) Conduct internal penetration testing and vulnerability assessments focusing on privilege escalation vectors within Azure hybrid deployments. 8) Educate IT and security teams about this specific vulnerability to improve detection and response readiness.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Italy, Spain, Poland
CVE-2025-49692: CWE-284: Improper Access Control in Microsoft Azure Connected Machine Agent
Description
Improper access control in Azure Windows Virtual Machine Agent allows an authorized attacker to elevate privileges locally.
AI-Powered Analysis
Technical Analysis
CVE-2025-49692 is a high-severity vulnerability classified under CWE-284 (Improper Access Control) affecting Microsoft Azure Connected Machine Agent version 1.0.0. This agent is used to connect Windows virtual machines to Azure management services, enabling hybrid cloud scenarios and centralized management. The vulnerability allows an authorized attacker with local access and low privileges (PR:L) to escalate their privileges on the affected system without requiring user interaction (UI:N). The attack vector is local (AV:L), meaning the attacker must already have some level of access to the machine. The vulnerability impacts confidentiality, integrity, and availability (all rated high), indicating that an attacker could gain full control over the system, access sensitive data, modify system configurations, or disrupt services. The CVSS 3.1 base score is 7.8, reflecting the significant risk posed by this flaw. The vulnerability does not require user interaction and has low attack complexity, making exploitation feasible once local access is obtained. No known exploits have been reported in the wild yet, and no patches or mitigations have been published at the time of this analysis. The improper access control likely stems from insufficient permission checks or flawed authorization logic within the Azure Connected Machine Agent, allowing privilege escalation from a limited user context to SYSTEM or equivalent high-level privileges.
Potential Impact
For European organizations, this vulnerability poses a substantial risk, especially for enterprises and public sector entities leveraging Azure hybrid cloud environments with Windows virtual machines connected via the Azure Connected Machine Agent. Successful exploitation could lead to full system compromise, enabling attackers to access confidential data, disrupt critical services, or move laterally within corporate networks. Given the high confidentiality, integrity, and availability impacts, organizations could face data breaches, operational downtime, and regulatory non-compliance issues under GDPR. The local attack vector means that insider threats or attackers who have already gained limited access through phishing or other means could escalate privileges, increasing the threat surface. This vulnerability is particularly concerning for sectors with sensitive data such as finance, healthcare, government, and critical infrastructure in Europe. The lack of a patch at present necessitates immediate risk management and mitigation efforts to prevent exploitation.
Mitigation Recommendations
European organizations should implement the following specific mitigations: 1) Restrict local access to systems running Azure Connected Machine Agent to trusted personnel only, employing strict access controls and monitoring. 2) Employ endpoint detection and response (EDR) solutions to detect unusual privilege escalation attempts or suspicious agent behavior. 3) Harden host configurations by applying the principle of least privilege, disabling unnecessary local accounts, and enforcing strong authentication mechanisms. 4) Monitor logs and audit trails for anomalous activities related to the Azure Connected Machine Agent processes. 5) Isolate critical systems running the vulnerable agent in segmented network zones to limit lateral movement. 6) Stay alert for official patches or updates from Microsoft and plan rapid deployment once available. 7) Conduct internal penetration testing and vulnerability assessments focusing on privilege escalation vectors within Azure hybrid deployments. 8) Educate IT and security teams about this specific vulnerability to improve detection and response readiness.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- microsoft
- Date Reserved
- 2025-06-09T19:59:44.873Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 68c071e0ce6ed8307545b97f
Added to database: 9/9/2025, 6:28:48 PM
Last enriched: 10/2/2025, 12:39:32 AM
Last updated: 10/29/2025, 9:42:56 AM
Views: 60
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