CVE-2025-10393 is a Server-Side Request Forgery (SSRF) vulnerability identified in the miurla morphic software, specifically affecting versions 0.4.0 through 0.4.5. The vulnerability resides in the fetchHtml function within the /api/advanced-search endpoint, which is part of the HTTP Status Code 3xx Handler component. SSRF vulnerabilities occur when an attacker can manipulate a server to make HTTP requests to arbitrary domains or internal systems, potentially bypassing network access controls. In this case, the flaw allows remote attackers to craft requests that cause the server to fetch unintended resources, which can lead to unauthorized internal network scanning, access to sensitive internal services, or exploitation of other vulnerabilities within the internal network. The vulnerability requires no user interaction and can be exploited remotely without authentication, increasing its risk profile. The CVSS 4.0 base score is 5.3 (medium severity), reflecting moderate impact on confidentiality, integrity, and availability, with low attack complexity and no privileges required. Although no exploits are currently known to be active in the wild, the existence of a published exploit increases the likelihood of future attacks. The vulnerability does not involve scope changes or security controls bypass but does allow partial impact on confidentiality, integrity, and availability through indirect means. The lack of official patches at the time of publication indicates that affected users must apply mitigations or updates once available to remediate the issue.

For European organizations, the SSRF vulnerability in miurla morphic presents a significant risk, especially for those using this software in environments connected to sensitive internal networks or cloud infrastructure. Exploitation could allow attackers to pivot from the vulnerable server into internal systems, potentially accessing confidential data, internal APIs, or administrative interfaces not exposed externally. This could lead to data breaches, unauthorized data modification, or disruption of services. Given the remote and unauthenticated nature of the exploit, attackers could automate scanning and exploitation attempts, increasing the threat surface. Organizations in sectors such as finance, healthcare, government, and critical infrastructure, which often have strict data protection requirements under GDPR and other regulations, could face compliance violations and reputational damage if exploited. Additionally, the vulnerability could be leveraged as a foothold for more advanced attacks, including lateral movement and privilege escalation within corporate networks.

Immediate mitigation steps include implementing strict input validation and sanitization on the fetchHtml function to prevent manipulation of URLs used in server-side requests. Network-level controls should be enforced to restrict outbound HTTP requests from the affected server to only trusted destinations, using firewall rules or proxy configurations. Organizations should monitor logs for unusual outbound requests originating from the miurla morphic service, which could indicate exploitation attempts. Until an official patch is released, consider disabling or restricting access to the /api/advanced-search endpoint if feasible. Employing web application firewalls (WAFs) with custom rules to detect and block SSRF patterns can provide additional protection. Once patches become available, prioritize timely updates of miurla morphic to the fixed version. Conduct internal network segmentation to limit the impact of SSRF exploitation by isolating critical systems from the application server. Finally, perform regular security assessments and penetration testing to identify and remediate similar vulnerabilities proactively.