CVE-2025-7759 is a server-side request forgery vulnerability found in thinkgem JeeSite, a Java-based web application framework and content management system, affecting all versions up to 5.12.0. The vulnerability exists in the UEditor Image Grabber component, specifically in the file modules/core/src/main/java/com/jeesite/common/ueditor/ActionEnter.java. The flaw stems from insufficient validation or sanitization of the 'Source' parameter, which is used to fetch images or resources from external URLs. An attacker can exploit this by crafting a malicious request that causes the server to make unintended HTTP requests to arbitrary internal or external resources. This can lead to information disclosure, internal network reconnaissance, or leveraging the server as a proxy to attack other systems. The vulnerability can be exploited remotely without requiring user interaction or elevated privileges, increasing its risk profile. Although no active exploitation in the wild has been reported, a public exploit is available, making it easier for attackers to attempt exploitation. The vendor has released a patch identified by commit hash 1c5e49b0818037452148e0f8ff69ed04cb8fefdc to address this issue. The CVSS 4.0 vector indicates network attack vector, low attack complexity, no privileges or user interaction required, and low impact on confidentiality, integrity, and availability, resulting in a medium severity rating with a score of 5.3.

For European organizations, the SSRF vulnerability in JeeSite poses risks primarily related to unauthorized internal network access and data leakage. Attackers exploiting this flaw can potentially access internal services that are not exposed externally, such as databases, internal APIs, or cloud metadata services, which could lead to sensitive information disclosure or further compromise. This is particularly concerning for organizations using JeeSite in critical infrastructure sectors, government portals, or enterprises with segmented internal networks. The ability to perform SSRF without authentication or user interaction increases the attack surface and lowers the barrier for exploitation. If leveraged in combination with other vulnerabilities, attackers could pivot deeper into the network, disrupt services, or exfiltrate data. The medium CVSS score reflects moderate impact, but the actual risk depends on the deployment context and network architecture. Organizations with strict outbound request controls and network segmentation may reduce impact, while those with lax controls face higher risk.

1. Immediately apply the official patch provided by thinkgem, identified by commit 1c5e49b0818037452148e0f8ff69ed04cb8fefdc, to all affected JeeSite instances. 2. Implement strict outbound network filtering on servers running JeeSite to restrict unauthorized HTTP requests to internal or sensitive endpoints. 3. Conduct a thorough review of the UEditor Image Grabber configuration and disable or limit its usage if not essential. 4. Monitor logs for unusual outbound requests or access patterns indicative of SSRF exploitation attempts. 5. Employ web application firewalls (WAFs) with rules designed to detect and block SSRF attack vectors targeting the 'Source' parameter. 6. Perform internal network segmentation to limit the impact of potential SSRF exploitation. 7. Educate development and security teams about SSRF risks and secure coding practices to prevent similar vulnerabilities in custom integrations. 8. Regularly update and patch all components of JeeSite and related dependencies to minimize exposure to known vulnerabilities.