CVE-2026-65096 in NemoClaw
Summary
by MITRE • 08/25/2026
NVIDIA NemoClaw for Linux contains a vulnerability in the Telegram bridge component, where an attacker could cause an OS command injection. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.
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Analysis
by VulDB Data Team • 08/25/2026
The identified security flaw resides within the Telegram bridge component of NVIDIA NemoClaw for Linux, a platform designed to facilitate AI-driven interactions through various messaging interfaces. This specific vulnerability manifests as an operating system command injection weakness, which represents a critical failure in input validation and sanitization mechanisms. When users or automated systems interact with the Telegram bridge, the application processes incoming data without adequately verifying its integrity or structure before passing it to underlying system commands. An attacker who can send specially crafted messages through the Telegram interface can inject arbitrary shell commands into these execution contexts. This type of flaw typically arises from improper handling of metacharacters such as semicolons, pipes, or backticks within user-supplied input fields that are subsequently concatenated with command strings executed by the operating system's interpreter.
The operational impact of this vulnerability is severe due to the potential for remote code execution on the host machine running NemoClaw. If an attacker successfully exploits this injection vector, they can execute commands with the same privileges as the process running the Telegram bridge service. Depending on the configuration and security posture of the Linux environment, this could range from reading sensitive configuration files to deploying malware or establishing persistent backdoors. The ability to escalate privileges is a significant concern if the bridge runs with elevated permissions or if there are misconfigurations in system access controls that allow lower-privileged processes to influence higher-privilege operations. Furthermore, information disclosure becomes possible as injected commands can be used to exfiltrate data from the local filesystem or network interfaces, potentially exposing proprietary AI models, user credentials, or internal infrastructure details. Data tampering is also a direct consequence, allowing attackers to modify system configurations, alter logs to cover tracks, or corrupt application state files essential for normal operation.
From a classification perspective, this vulnerability aligns with CWE-78 Improper Neutralization of Special Elements used in an OS Command commonly known as OS Command Injection. It reflects a fundamental breakdown in the principle of least privilege and secure coding practices where user input is treated as executable code rather than data. In terms of offensive security frameworks such as MITRE ATT&CK, this exploit technique falls under T1059 Command and Scripting Interpreter, specifically involving indirect command execution through injected payloads. The attack vector leverages the trust relationship between the messaging application and the underlying operating system shell to bypass intended functional boundaries.
Mitigation strategies must focus on immediate remediation of the codebase alongside broader security hardening measures. NVIDIA should release a patched version of NemoClaw that implements strict input validation, ensuring all user-supplied data is sanitized against special characters before being processed by command interpreters. Parameterization or whitelisting approaches for any dynamic command construction are essential to prevent injection attacks. In the interim, administrators should restrict network access to the Telegram bridge component using firewall rules, limiting exposure only to trusted IP addresses if possible. Running the service with minimal required privileges and utilizing containerization or sandboxing technologies can also limit the blast radius of a successful exploitation attempt by isolating the process from critical system resources. Regular security audits and static code analysis tools should be employed during development cycles to detect similar vulnerabilities early in the software lifecycle, ensuring that future updates do not reintroduce these high-risk flaws.