CVE-2026-30631 in bytebot-ai
Summary
by MITRE • 07/22/2026
An issue was discovered in bytebot-ai in commit 3d37894ce07ef8d8b40adc7fd309ad96c2a71313 (2025-09-11) allowing attackers to execute arbitrary code via crafted path to `computer_write_file`.
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Analysis
by VulDB Data Team • 07/22/2026
The vulnerability in bytebot-ai represents a critical command injection flaw that emerged from the implementation of the computer_write_file function within the software's architecture. This issue stems from insufficient input validation and sanitization mechanisms that fail to properly handle maliciously crafted file paths. The specific commit 3d37894ce07ef8d8b40adc7fd309ad96c2a71313 introduced a design weakness where user-supplied path parameters are directly processed without adequate security controls. The vulnerability allows attackers to manipulate the file system by constructing malicious paths that bypass normal access controls and execute arbitrary code within the application's operational environment.
The technical implementation of this vulnerability aligns with common software security weaknesses documented in CWE-78 and CWE-94, which specifically address command injection vulnerabilities and improper input validation respectively. When an attacker provides a crafted path to the computer_write_file function, the system processes these inputs without proper filtering or sanitization, creating opportunities for attackers to inject malicious commands that get executed with the privileges of the application process. This flaw operates at the intersection of input handling and execution control, making it particularly dangerous as it can be exploited to gain unauthorized access, modify system files, or even establish persistent backdoors within the affected environment.
The operational impact of this vulnerability extends beyond simple code execution to encompass potential system compromise and data breach scenarios. Attackers can leverage this flaw to write malicious files to critical system locations, potentially leading to privilege escalation attacks that allow them to gain administrative control over the affected systems. The vulnerability's exploitation requires minimal technical expertise and can be automated, making it attractive to threat actors seeking rapid compromise of systems running vulnerable versions of bytebot-ai. Organizations using this software face significant risk of unauthorized access, system modification, and potential data exfiltration through this command injection vector.
Mitigation strategies for this vulnerability should focus on implementing robust input validation and sanitization controls within the computer_write_file function. The immediate solution involves adding comprehensive path validation that checks for malicious patterns such as directory traversal sequences, special characters, and unauthorized path components before any file operations are performed. Security practitioners should implement proper access control mechanisms that restrict file system operations to authorized users and paths only. Additionally, the implementation of secure coding practices including parameterized queries, input encoding, and privilege separation can significantly reduce the attack surface. Organizations should also consider implementing runtime monitoring and anomaly detection systems to identify potential exploitation attempts and maintain up-to-date software versions that address this specific vulnerability. The remediation approach should align with industry best practices such as those outlined in the mitre attack framework, particularly focusing on preventing initial access and limiting privilege escalation opportunities through proper input validation and execution control mechanisms.