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CVE-2025-58724: CWE-284: Improper Access Control in Microsoft Arc Enabled Servers - Azure Connected Machine Agent

0
High
VulnerabilityCVE-2025-58724cvecve-2025-58724cwe-284
Published: Tue Oct 14 2025 (10/14/2025, 17:01:17 UTC)
Source: CVE Database V5
Vendor/Project: Microsoft
Product: Arc Enabled Servers - Azure Connected Machine Agent

Description

Improper access control in Azure Connected Machine Agent allows an authorized attacker to elevate privileges locally.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 03/01/2026, 23:58:40 UTC

Technical Analysis

CVE-2025-58724 is a vulnerability classified under CWE-284 (Improper Access Control) found in Microsoft Arc Enabled Servers, specifically within the Azure Connected Machine Agent version 1.0.0. This agent facilitates management of on-premises and hybrid cloud servers through Azure Arc. The vulnerability allows an attacker who already has some level of local authorization on the affected machine to escalate their privileges, potentially gaining administrative or SYSTEM-level access. The flaw arises from insufficient enforcement of access control mechanisms within the agent, permitting privilege escalation without requiring user interaction. The CVSS 3.1 base score of 7.8 indicates a high-severity issue with local attack vector (AV:L), low attack complexity (AC:L), requiring privileges (PR:L), no user interaction (UI:N), unchanged scope (S:U), and high impact on confidentiality, integrity, and availability (C:H/I:H/A:H). Although no public exploits are currently known, the vulnerability poses a significant risk because attackers with limited local access can leverage it to fully compromise the system. The vulnerability was reserved in early September 2025 and published in mid-October 2025. No patches have been released yet, so affected organizations must rely on compensating controls until remediation is available.

Potential Impact

The vulnerability enables local privilege escalation, which can lead to complete system compromise. An attacker with limited local privileges can gain administrative control, allowing them to access sensitive data, modify system configurations, install persistent malware, or disrupt system availability. This risk is particularly critical in environments where Azure Arc is used to manage hybrid or multi-cloud infrastructure, as compromised machines could serve as pivot points for lateral movement within enterprise networks. The impact extends to confidentiality, integrity, and availability, potentially affecting critical business operations and sensitive workloads. Organizations relying on Azure Arc for centralized management and security monitoring may face increased exposure if attackers exploit this flaw before patches are applied. The absence of known exploits reduces immediate risk but does not eliminate the threat, especially given the public disclosure and high severity score.

Mitigation Recommendations

Until an official patch is released by Microsoft, organizations should implement strict local access controls to limit the number of users with any level of local privileges on Azure Arc-enabled servers. Employ the principle of least privilege rigorously and audit local user accounts regularly. Enable enhanced logging and monitoring to detect unusual privilege escalation attempts or suspicious local activities. Use endpoint detection and response (EDR) tools to identify and block potential exploitation behaviors. Consider isolating Azure Arc-enabled servers in segmented network zones to reduce lateral movement risk. Prepare for rapid deployment of patches once available by maintaining up-to-date asset inventories and patch management processes. Additionally, review and harden the configuration of the Azure Connected Machine Agent where possible, and follow Microsoft’s security advisories closely for updates or workarounds.

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Technical Details

Data Version
5.1
Assigner Short Name
microsoft
Date Reserved
2025-09-03T20:46:29.256Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 68ee85883dd1bfb0b7e3f8e0

Added to database: 10/14/2025, 5:16:56 PM

Last enriched: 3/1/2026, 11:58:40 PM

Last updated: 3/26/2026, 10:25:19 AM

Views: 201

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