CVE-2025-65836 is a severe SSRF vulnerability identified in PublicCMS V5.202506.b, specifically within the chat interface of the SimpleAiAdminController component. SSRF vulnerabilities occur when an attacker can manipulate server-side requests to access or interact with internal or external resources that the server can reach but the attacker normally cannot. In this case, the vulnerability allows unauthenticated attackers to craft requests that the server executes, potentially accessing internal services, sensitive data, or performing unauthorized actions. The vulnerability is classified under CWE-918 (Server-Side Request Forgery). The CVSS 3.1 base score is 9.1, indicating critical severity, with an attack vector of network (AV:N), low attack complexity (AC:L), no privileges required (PR:N), no user interaction (UI:N), unchanged scope (S:U), and high impact on confidentiality and integrity (C:H/I:H), but no impact on availability (A:N). The lack of required authentication and user interaction makes this vulnerability highly exploitable remotely. Although no public exploits are currently known, the vulnerability's nature and criticality suggest that exploitation could lead to unauthorized internal network reconnaissance, data exfiltration, or further attacks against internal services. The absence of a patch link indicates that a fix may not yet be publicly available, increasing urgency for defensive measures. The affected versions are not explicitly listed, but the vulnerability is tied to a specific PublicCMS release, implying that users of that version are at risk. The SimpleAiAdminController's chat interface likely processes user input that is not properly sanitized or validated before being used in server-side requests, enabling SSRF.

For European organizations, the impact of CVE-2025-65836 can be significant, especially for those relying on PublicCMS for web content management and internal communication tools. Successful exploitation can lead to unauthorized access to internal network resources, potentially exposing sensitive corporate data, intellectual property, or personal data protected under GDPR. The integrity of internal systems could be compromised, allowing attackers to manipulate data or pivot to other critical infrastructure components. Although availability is not directly impacted, the breach of confidentiality and integrity can result in regulatory penalties, reputational damage, and operational disruptions. Organizations in sectors such as finance, healthcare, government, and critical infrastructure that use PublicCMS are particularly at risk. The vulnerability's ease of exploitation without authentication increases the likelihood of automated scanning and attacks, raising the threat level across Europe. Additionally, attackers could leverage SSRF to bypass network segmentation and access otherwise protected internal services, amplifying the potential damage.

Immediate mitigation should focus on network-level controls and application hardening. Organizations should implement strict egress filtering to restrict outbound HTTP requests from the PublicCMS server to only trusted destinations, effectively limiting SSRF exploitation scope. Web application firewalls (WAFs) should be configured to detect and block suspicious request patterns targeting the chat interface. Input validation and sanitization should be enhanced to prevent malicious payloads from triggering SSRF. Until an official patch is released, consider disabling or restricting access to the SimpleAiAdminController chat interface if feasible. Continuous monitoring and logging of outbound requests from the CMS server can help detect exploitation attempts early. Network segmentation should be enforced to isolate the CMS server from sensitive internal services. Organizations should also prepare incident response plans specific to SSRF exploitation scenarios. Once a patch becomes available, prompt testing and deployment are critical. Vendor engagement to obtain timely updates and security advisories is recommended. Finally, conducting security assessments and penetration tests focusing on SSRF vectors can help identify residual risks.