CVE-2025-32711 is a critical command injection vulnerability (CWE-77) affecting Microsoft 365 Copilot, an AI-powered assistant integrated into the Microsoft 365 suite. This vulnerability arises from improper neutralization of special elements used in system commands, allowing an attacker to inject arbitrary commands into the AI's processing pipeline. Exploitation does not require authentication or user interaction, and the attack can be executed remotely over the network. The vulnerability enables unauthorized attackers to disclose sensitive information by executing injected commands that can exfiltrate data. According to the CVSS v3.1 vector (9.3), the attack vector is network-based (AV:N), with low attack complexity (AC:L), no privileges required (PR:N), and no user interaction (UI:N). The scope is changed (S:C), indicating that the vulnerability affects resources beyond the initially vulnerable component. Confidentiality impact is high (C:H), integrity impact is low (I:L), and availability impact is none (A:N). Although no known exploits are currently reported in the wild, the critical severity and ease of exploitation make this a significant threat. The lack of specified affected versions suggests the vulnerability may impact all current deployments of Microsoft 365 Copilot until patched. The vulnerability was published on June 11, 2025, with the reservation date in April 2025, indicating recent discovery and disclosure. The absence of patch links implies that a fix may still be pending or in development.

For European organizations, this vulnerability poses a severe risk due to the widespread adoption of Microsoft 365 Copilot across enterprises, government agencies, and critical infrastructure sectors. The ability for an unauthenticated attacker to remotely execute commands and disclose sensitive information threatens confidentiality of corporate data, intellectual property, and potentially personal data protected under GDPR. The compromised integrity is limited but could facilitate further attacks or data manipulation. The lack of availability impact means service disruption is unlikely, but data leakage alone can cause regulatory penalties, reputational damage, and financial loss. Given Microsoft 365 Copilot's integration with productivity tools widely used in Europe, attackers could target sectors such as finance, healthcare, manufacturing, and public administration. The vulnerability's network-based nature means that attackers can exploit it remotely, increasing the attack surface. Additionally, the changed scope indicates that the impact could extend beyond the immediate application, potentially affecting connected systems or cloud resources. The absence of known exploits in the wild provides a window for proactive defense, but the critical CVSS score demands urgent attention.

1. Immediate monitoring of network traffic and logs for unusual command execution patterns or data exfiltration attempts related to Microsoft 365 Copilot. 2. Restrict network access to Microsoft 365 Copilot services using firewall rules and network segmentation to limit exposure. 3. Employ application-layer gateways or proxies that can inspect and filter suspicious commands or payloads targeting the AI assistant. 4. Implement strict data loss prevention (DLP) policies to detect and block unauthorized data transmissions originating from Microsoft 365 Copilot. 5. Coordinate with Microsoft support channels to obtain and deploy patches or updates as soon as they become available. 6. Conduct internal security awareness training focused on recognizing anomalous AI assistant behavior or unexpected outputs that may indicate exploitation. 7. Use endpoint detection and response (EDR) tools to identify and contain any lateral movement or post-exploitation activities stemming from this vulnerability. 8. Review and tighten permissions and access controls within Microsoft 365 environments to minimize potential damage if exploitation occurs. 9. Engage in threat intelligence sharing with industry peers and national cybersecurity centers to stay informed about emerging exploit techniques related to this vulnerability.