CVE-2025-62612 is a Server-Side Request Forgery (SSRF) vulnerability identified in labring's FastGPT platform, an AI Agent building tool. The vulnerability resides in the workflow file reading node where the application fails to properly validate or restrict network links before accessing them. This lack of security verification allows an attacker to craft malicious inputs that cause the server to initiate unauthorized HTTP or network requests to internal or external resources. SSRF vulnerabilities can be leveraged to bypass firewalls, access internal services, or exfiltrate sensitive information. The vulnerability affects all FastGPT versions prior to 4.11.1 and was assigned a CVSS 4.0 score of 6.9, indicating a medium severity level. The attack vector is network-based with low complexity, requiring no privileges or user interaction, and no impact on confidentiality, integrity, or availability was explicitly noted, but the potential for internal network reconnaissance or data exposure exists. No known exploits have been reported in the wild as of the publication date, but the risk remains significant given the nature of SSRF attacks. The vendor has addressed the issue by patching the vulnerability in version 4.11.1, which includes proper validation and security checks on network links in the workflow file reading node. Organizations using FastGPT should apply this update promptly. Additionally, monitoring outbound requests from the application and implementing network segmentation can reduce exploitation risk.

For European organizations, the SSRF vulnerability in FastGPT could enable attackers to pivot from the compromised application to internal network resources that are otherwise inaccessible externally. This could lead to unauthorized access to sensitive internal services, data leakage, or further exploitation within the network. Given FastGPT's role in AI agent development, organizations relying on it for critical AI workflows may face disruption or compromise of their AI pipelines. The medium severity rating reflects the potential for moderate impact without immediate system compromise, but the ease of exploitation and lack of required authentication increase the risk profile. Industries with sensitive internal infrastructures, such as finance, healthcare, and government agencies in Europe, could be particularly vulnerable if they deploy affected versions. The absence of known active exploits provides a window for proactive mitigation, but the threat should be taken seriously due to SSRF's history as a vector for lateral movement and data exfiltration.

1. Immediately upgrade all FastGPT instances to version 4.11.1 or later, which contains the patch for CVE-2025-62612. 2. Implement strict egress network filtering to restrict outbound HTTP/HTTPS requests from FastGPT servers to only trusted destinations. 3. Employ network segmentation to isolate FastGPT servers from sensitive internal resources, limiting the impact of any SSRF exploitation. 4. Monitor application logs and network traffic for unusual outbound requests or patterns indicative of SSRF attempts. 5. Conduct regular security assessments and penetration tests focusing on SSRF and related vulnerabilities within AI development platforms. 6. Educate development and security teams about SSRF risks and secure coding practices, especially when handling external inputs that trigger network requests. 7. If upgrading immediately is not feasible, consider disabling or restricting the workflow file reading node functionality that processes network links until patched.