CVE-2025-67511 is a critical command injection vulnerability identified in aliasrobotics' Cybersecurity AI (CAI) framework, specifically affecting versions 0.5.9 and earlier. The vulnerability resides in the run_ssh_command_with_credentials() function, which is designed to execute SSH commands with provided credentials. While the function attempts to escape password and command inputs to prevent shell injection, it fails to properly sanitize the username, host, and port parameters. These inputs are directly incorporated into shell commands without adequate neutralization of special characters, enabling attackers to inject arbitrary shell commands. The vulnerability is classified under CWE-77 (Improper Neutralization of Special Elements used in a Command), indicating that the root cause is insufficient input validation. Exploitation requires user interaction but no prior authentication, increasing the attack surface. Successful exploitation can lead to remote code execution with the privileges of the CAI process, potentially compromising the entire host system. The vulnerability has a CVSS v3.1 score of 9.7 (critical), reflecting its high impact on confidentiality, integrity, and availability, combined with ease of exploitation over the network. At the time of publication, no patches or fixes are available, leaving users exposed. The CAI framework is an open-source tool used for automating offensive and defensive cybersecurity tasks, often integrated into security operations and penetration testing workflows. This makes the vulnerability particularly dangerous, as attackers could leverage it to pivot within networks or disrupt defensive automation. The lack of input sanitization on network-related parameters (username, host, port) is a significant oversight, as these are typically user-controlled or externally sourced values. The vulnerability's scope is broad, affecting all deployments of CAI up to version 0.5.9, and the shared nature of the tool means multiple organizations could be impacted simultaneously. No known exploits have been reported in the wild yet, but the critical severity and public disclosure increase the likelihood of imminent exploitation attempts.

For European organizations, the impact of CVE-2025-67511 is substantial. Organizations relying on CAI for automating SSH-based tasks, including penetration testing, incident response, or offensive security operations, face the risk of remote code execution by unauthenticated attackers. This can lead to full system compromise, data breaches, disruption of security operations, and potential lateral movement within corporate networks. The compromise of defensive automation tools could blind security teams or allow attackers to disable or manipulate detection and response mechanisms. Critical infrastructure operators, financial institutions, and government agencies using CAI or similar automation frameworks are particularly vulnerable due to the sensitive nature of their environments. The vulnerability's ability to affect confidentiality, integrity, and availability simultaneously elevates the risk of severe operational and reputational damage. Additionally, the lack of a patch means organizations must rely on compensating controls, increasing operational complexity and potential exposure windows. The threat also extends to supply chain security, as attackers could target CAI deployments to gain footholds in multiple organizations. Given the increasing adoption of AI-powered cybersecurity tools in Europe, the potential attack surface is growing, making timely mitigation essential.

1. Immediately restrict network access to CAI management interfaces and SSH command execution endpoints using firewalls, VPNs, or zero-trust network segmentation to limit exposure to trusted users only. 2. Implement strict input validation and sanitization on all parameters passed to run_ssh_command_with_credentials(), especially username, host, and port, to neutralize special shell characters and prevent injection. 3. Employ application-layer firewalls or runtime application self-protection (RASP) solutions to detect and block suspicious command injection patterns in real time. 4. Monitor logs for anomalous SSH command executions and unusual CAI activity, setting up alerts for potential exploitation attempts. 5. Use containerization or sandboxing to isolate CAI processes, limiting the impact of a successful compromise. 6. Avoid exposing CAI to untrusted networks or users, and enforce multi-factor authentication on all administrative access points. 7. Engage with the aliasrobotics community and subscribe to security advisories for updates and patches, applying them promptly once available. 8. Conduct regular security assessments and penetration tests focusing on automation frameworks and their integration points. 9. Educate security teams about the risks of command injection in automation tools and encourage secure coding practices for any custom extensions or scripts. 10. Consider temporary disabling or replacing CAI deployments until a secure version is released if risk tolerance is low.