CVE-2025-67511 is a critical command injection vulnerability identified in aliasrobotics' Cybersecurity AI (CAI) framework, an open-source platform designed for AI-powered offensive and defensive automation tasks. The vulnerability affects all versions up to and including 0.5.9 and resides in the run_ssh_command_with_credentials() function. This function is intended to execute SSH commands using provided credentials, escaping only the password and command inputs to prevent shell injection. However, it fails to properly sanitize the username, host, and port parameters, which remain injectable. This improper neutralization of special elements (CWE-77) allows an attacker to craft malicious inputs that inject arbitrary shell commands, which the AI agents can execute remotely. The vulnerability is exploitable over the network without requiring privileges but does require user interaction, likely through the AI agent's command execution interface. The CVSS v3.1 base score is 9.7, reflecting critical severity with high impact on confidentiality, integrity, and availability, and low attack complexity. No patches or fixes are available at the time of publication, increasing the urgency for organizations to implement compensating controls. Although no known exploits are reported in the wild yet, the potential for abuse is significant given the framework’s role in automating cybersecurity operations.

For European organizations, the impact of CVE-2025-67511 is substantial. CAI is used to automate offensive and defensive cybersecurity tasks, meaning a successful exploit could allow attackers to execute arbitrary commands on systems managing critical security operations. This could lead to full system compromise, data exfiltration, disruption of security monitoring, or manipulation of automated defenses. The breach of confidentiality could expose sensitive data, while integrity and availability impacts could disrupt incident response and security automation workflows. Sectors such as finance, energy, telecommunications, and government agencies that rely on AI-driven cybersecurity tools are particularly vulnerable. The lack of a patch means organizations must rely on mitigations to prevent exploitation. Additionally, the vulnerability’s network accessibility and no-privilege requirement increase the risk of widespread exploitation if attackers discover or develop exploits. This threat could also undermine trust in AI-based cybersecurity solutions, slowing adoption and innovation in Europe.

Until an official patch is released, European organizations should implement multiple layers of defense. First, restrict access to the CAI framework’s interfaces, especially the run_ssh_command_with_credentials() function, using network segmentation and firewall rules to limit exposure to trusted hosts only. Implement strict input validation and sanitization on all user-supplied parameters, particularly username, host, and port fields, to prevent injection of malicious commands. Employ application-layer firewalls or intrusion detection/prevention systems (IDS/IPS) to monitor and block suspicious SSH command patterns. Enable detailed logging and continuous monitoring of CAI activities to detect anomalous behavior early. Consider disabling or restricting the use of the vulnerable function in AI agents if feasible. Educate security teams about the vulnerability and the risks of command injection in automation tools. Finally, maintain close communication with aliasrobotics for updates and apply patches promptly once available.