CVE-2026-25130 is an OS command injection vulnerability classified under CWE-78 affecting the aliasrobotics Cybersecurity AI (CAI) framework up to version 0.5.10. The vulnerability stems from improper neutralization of special elements in user-supplied input passed directly to shell commands via Python's subprocess.Popen() with shell=True, which executes commands in a shell environment. Specifically, the CAI framework's tools, including find_file(), accept user-controlled arguments that are concatenated into shell commands without sanitization or validation. The find_file() tool is considered safe and runs without requiring explicit user approval, which attackers can exploit by injecting malicious parameters such as '-exec' to execute arbitrary commands on the host system. This results in remote code execution (RCE) with no authentication or privileges required and minimal user interaction, effectively bypassing human-in-the-loop safety controls. The vulnerability has a CVSS v3.1 base score of 9.7, indicating critical severity with network attack vector, low attack complexity, no privileges required, user interaction required, and scope changed. The impact includes full compromise of confidentiality, integrity, and availability of affected systems. The vulnerability was publicly disclosed on January 30, 2026, and a patch was committed (e22a1220f764e2d7cf9da6d6144926f53ca01cde) to address the issue by properly sanitizing inputs and removing unsafe shell invocation patterns. No known exploits have been reported in the wild yet, but the ease of exploitation and critical impact make this a high-priority vulnerability for remediation.

For European organizations, the impact of CVE-2026-25130 is significant due to the potential for remote code execution on systems running vulnerable versions of the CAI framework. Successful exploitation could lead to full system compromise, data theft, unauthorized access to sensitive information, disruption of security monitoring and AI-driven defense mechanisms, and potential lateral movement within networks. Given that CAI is a cybersecurity AI framework, compromise could undermine the security posture of organizations relying on it, leading to cascading effects on incident detection and response capabilities. The vulnerability’s ability to bypass human-in-the-loop safety controls increases risk, as attackers can execute commands without triggering manual intervention. This is especially critical for sectors with high security requirements such as finance, critical infrastructure, government, and technology companies prevalent in Europe. The lack of required privileges and the network attack vector mean that attackers can exploit this remotely, increasing the threat surface. Organizations that have integrated CAI into their security operations or development pipelines are at risk of targeted attacks aiming to disable or manipulate AI-driven security tools.

European organizations using aliasrobotics CAI framework versions up to 0.5.10 should immediately upgrade to the patched version containing commit e22a1220f764e2d7cf9da6d6144926f53ca01cde or later. Until patching is possible, restrict network access to CAI management interfaces and tools to trusted administrators only. Implement strict input validation and sanitization on any user-supplied parameters passed to shell commands within custom scripts or integrations involving CAI. Employ application-level allowlisting to prevent execution of unexpected commands or parameters. Monitor logs for unusual subprocess invocations or command-line arguments, especially those involving the find_file() tool or similar utilities. Use endpoint detection and response (EDR) solutions to detect anomalous process creations indicative of command injection. Conduct a thorough audit of all CAI deployments and dependent systems to identify vulnerable instances. Educate security teams about the risk of command injection in AI frameworks and the importance of human-in-the-loop controls. Consider isolating CAI components in hardened containers or virtual machines with minimal privileges to limit potential damage from exploitation.