CVE-2025-3572 in SmartRobot
Summary
by MITRE • 04/14/2025
SmartRobot from INTUMIT has a Server-Side Request Forgery vulnerability, allowing unauthenticated remote attackers to probe internal network and even access arbitrary local files on the server.
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Analysis
by VulDB Data Team • 11/17/2025
The CVE-2025-3572 vulnerability represents a critical server-side request forgery flaw in SmartRobot software developed by INTUMIT, exposing organizations to significant security risks. This vulnerability stems from improper input validation within the application's request handling mechanisms, allowing attackers to manipulate server-side operations through crafted requests. The flaw enables unauthenticated remote exploitation, meaning malicious actors can leverage this weakness without requiring valid credentials or prior access to the system.
The technical implementation of this vulnerability involves the application's failure to properly sanitize user-supplied input that is subsequently used in server-side requests. When SmartRobot processes external requests containing malicious input, it fails to validate or filter the data before using it in internal network communications or file access operations. This allows attackers to construct requests that bypass normal access controls and potentially access internal network resources or local files on the server. The vulnerability can be exploited through various attack vectors including direct manipulation of parameters, URL encoding, or other input manipulation techniques.
The operational impact of this vulnerability extends beyond simple network probing to include potential data breaches and system compromise. Attackers can leverage the SSRF capability to access internal network services that would normally be restricted from external access, potentially revealing sensitive information about the internal infrastructure. The ability to access arbitrary local files on the server represents a severe escalation risk, as it could enable attackers to read configuration files, application source code, database credentials, or other sensitive data stored on the affected system. This vulnerability fundamentally undermines the security boundaries of the affected environment and can lead to further compromise through lateral movement or privilege escalation.
Security professionals should approach mitigation of this vulnerability through multiple defensive layers. Immediate patching of the SmartRobot software to address the input validation flaws represents the primary remediation strategy, aligning with industry best practices for vulnerability management. Network segmentation and firewall rules should be implemented to restrict unnecessary internal network access from the affected server, while also applying proper input validation and output encoding mechanisms to prevent similar vulnerabilities in other applications. The vulnerability maps to CWE-918 Server-Side Request Forgery and aligns with ATT&CK technique T1190 Exploit Public-Facing Application, highlighting the need for comprehensive application security testing and monitoring. Organizations should also implement network monitoring to detect unusual internal network scanning activities that may indicate exploitation attempts, and establish proper access controls to limit the potential impact of successful exploitation.