CVE-2025-32711 in 365 Copilot
Summary
by MITRE • 06/11/2025
Ai command injection in M365 Copilot allows an unauthorized attacker to disclose information over a network.
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Analysis
by VulDB Data Team • 07/10/2025
The vulnerability identified as CVE-2025-32711 represents a critical command injection flaw within Microsoft 365 Copilot's ai processing capabilities that enables unauthorized attackers to execute arbitrary commands on affected systems. This vulnerability specifically targets the ai command execution mechanisms within the copilot service, creating a pathway for attackers to bypass normal security controls and gain access to sensitive information through network-based attacks. The flaw exists in the way the ai system processes user inputs and translates them into system commands, potentially allowing malicious actors to manipulate the underlying processing engine to execute unintended operations.
This command injection vulnerability stems from insufficient input validation and sanitization within the ai processing pipeline of M365 Copilot. The flaw allows attackers to inject malicious commands through crafted ai prompts or input parameters that are then interpreted and executed by the system's underlying command processing mechanisms. The vulnerability operates at the application layer and can be exploited remotely without requiring authentication, making it particularly dangerous in cloud environments where network exposure is common. The attack vector leverages the ai system's natural language processing capabilities to craft inputs that appear legitimate but contain embedded malicious commands designed to bypass security controls.
The operational impact of this vulnerability extends beyond simple information disclosure, as it can potentially enable full system compromise and data exfiltration. Attackers could leverage this vulnerability to access sensitive corporate data, credentials, and system information stored within the M365 environment. The ai processing nature of the vulnerability means that attackers could craft sophisticated prompts that appear to be normal user queries while simultaneously executing malicious commands. This creates a significant risk for organizations relying on M365 Copilot for document processing, data analysis, and automated workflows, as any input processed through the ai system could potentially be exploited.
Organizations should implement immediate mitigations including input validation and sanitization measures, network segmentation to limit access to affected systems, and monitoring for unusual command execution patterns. The vulnerability aligns with CWE-77 and CWE-89 categories related to command injection and SQL injection attacks, and follows attack patterns documented in the MITRE ATT&CK framework under techniques such as command and scripting interpreter. Security teams should deploy intrusion detection systems to monitor for anomalous command execution behaviors and implement strict input validation controls to prevent malicious payloads from reaching the ai processing components. Regular security updates and patches should be applied immediately to address this vulnerability, as it represents a significant risk to cloud-based collaboration environments where M365 Copilot is widely deployed.