CVE-2025-24986 is a vulnerability identified in Microsoft Azure's promptflow-core component, specifically version 1.0.0. The issue is classified under CWE-653, which pertains to improper isolation or compartmentalization. This vulnerability allows an unauthorized attacker to execute code remotely over a network without requiring any authentication or user interaction. The root cause lies in inadequate separation of execution contexts or insufficient compartmentalization within the promptflow-core service, which is part of Azure's AI and workflow orchestration capabilities. Exploiting this flaw could enable attackers to run arbitrary code, potentially leading to unauthorized access or manipulation of data within the affected environment. The CVSS v3.1 base score is 6.5, indicating a medium severity level, with the attack vector being network-based (AV:N), low attack complexity (AC:L), no privileges required (PR:N), and no user interaction needed (UI:N). The impact affects confidentiality and integrity but does not affect availability. No known exploits are currently reported in the wild, and no patches have been published yet. Given the nature of the vulnerability, it poses a significant risk to environments relying on Azure promptflow-core for AI workflow orchestration, especially if exposed to untrusted networks.

For European organizations, this vulnerability could have serious implications, particularly for those leveraging Azure's AI and workflow orchestration services in critical business processes. Unauthorized code execution could lead to data breaches, manipulation of AI workflows, or unauthorized access to sensitive information, impacting confidentiality and integrity of data. Industries such as finance, healthcare, and government agencies, which often use Azure cloud services and handle sensitive data, are at higher risk. The vulnerability could also undermine trust in cloud-based AI services and disrupt automated workflows, potentially causing operational delays or erroneous outputs. Since the vulnerability does not require authentication or user interaction, it increases the risk of automated exploitation attempts, especially in environments with exposed Azure services. The absence of a patch further elevates the risk until mitigations are implemented.

European organizations should immediately audit their use of Azure promptflow-core, particularly version 1.0.0, and restrict network exposure to this service by implementing strict network segmentation and firewall rules to limit access only to trusted internal networks. Employ Azure-native security controls such as Private Link or Virtual Network Service Endpoints to isolate promptflow-core traffic from the public internet. Monitor network traffic and logs for unusual activity indicative of exploitation attempts. Implement strict role-based access controls (RBAC) and least privilege principles around Azure resources to minimize potential damage. Engage with Microsoft support or Azure security advisories for updates on patches or workarounds. Consider deploying Web Application Firewalls (WAF) or Intrusion Detection/Prevention Systems (IDS/IPS) with signatures tuned to detect anomalous promptflow-core activity. Finally, prepare incident response plans specific to cloud AI workflow compromises to ensure rapid containment if exploitation occurs.