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 fetching them. This lack of security verification allows an attacker to craft malicious requests that cause the FastGPT server to initiate arbitrary HTTP requests to internal or external systems. SSRF vulnerabilities can be leveraged to bypass firewalls, access internal-only services, or perform reconnaissance within the victim's network. The vulnerability affects all FastGPT versions prior to 4.11.1 and was assigned a CVSS 4.0 score of 6.9, reflecting a medium severity level. The attack vector is network-based, requires no authentication or user interaction, and does not depend on privileges, making it relatively easy to exploit remotely. Although no active exploits have been reported, the potential for internal network exposure and data leakage is significant, especially in environments where FastGPT is integrated with sensitive AI workflows or internal services. The vendor has addressed the issue in version 4.11.1 by implementing proper security verification of network links in the workflow file reading node, effectively mitigating the SSRF risk.

For European organizations, the SSRF vulnerability in FastGPT presents a risk of unauthorized internal network access, potentially exposing sensitive internal services, databases, or metadata endpoints that are not intended to be publicly accessible. This could lead to data leakage, internal reconnaissance by attackers, or pivoting to further compromise internal systems. Organizations leveraging FastGPT for AI agent development in sectors such as finance, healthcare, or critical infrastructure could face confidentiality breaches or operational disruptions. The medium severity rating indicates a moderate risk, but the ease of exploitation without authentication increases the urgency for patching. Additionally, SSRF can be a stepping stone for more complex attacks, including remote code execution or privilege escalation if combined with other vulnerabilities. The lack of known exploits in the wild currently reduces immediate risk but does not eliminate the threat, especially as attackers often develop exploits following public disclosure.

European organizations using FastGPT should immediately upgrade to version 4.11.1 or later to apply the official patch that enforces security verification on network links in the workflow file reading node. Until the upgrade is applied, organizations should implement network-level controls such as restricting outbound HTTP/HTTPS requests from FastGPT servers to only trusted destinations using firewall rules or proxy whitelisting. Monitoring and logging of outbound requests from FastGPT instances can help detect anomalous or unauthorized requests indicative of SSRF exploitation attempts. Additionally, applying network segmentation to isolate FastGPT servers from sensitive internal services can limit the potential impact of SSRF exploitation. Security teams should conduct internal audits to identify any instances of FastGPT running vulnerable versions and prioritize remediation. Finally, educating developers and administrators on SSRF risks and secure coding practices for AI workflow integrations will help prevent similar issues in the future.