CVE-2025-62615 is a critical Server-Side Request Forgery (SSRF) vulnerability identified in Significant-Gravitas AutoGPT, an AI platform designed to automate complex workflows via continuous AI agents. The vulnerability exists in versions prior to autogpt-platform-beta-v0.6.34 within the RSSFeedBlock component, where the third-party Python library urllib.request.urlopen is used directly to fetch URLs without proper input validation or filtering. This lack of sanitization allows an attacker to supply malicious URLs that the server will fetch, potentially enabling unauthorized internal network scanning, access to internal services, or exfiltration of sensitive data. SSRF vulnerabilities are particularly dangerous because they can bypass perimeter defenses by leveraging the vulnerable server as a proxy. The CVSS 4.0 score of 9.3 reflects the vulnerability's ease of exploitation (no authentication or user interaction required) and its severe impact on confidentiality and integrity. Although no public exploits have been reported yet, the vulnerability's presence in an AI automation platform that may be integrated into various enterprise workflows increases the risk profile. The vendor has addressed the issue in autogpt-platform-beta-v0.6.34 by implementing proper input validation and filtering to prevent malicious URL requests. Organizations using affected versions should urgently apply this patch to mitigate the risk.

For European organizations, the impact of this SSRF vulnerability can be significant. AutoGPT is used to automate AI-driven workflows, which may include sensitive data processing and integration with internal systems. Exploitation could allow attackers to access internal network resources, bypass firewalls, and retrieve confidential information or manipulate internal services. This could lead to data breaches, disruption of AI-driven business processes, and potential lateral movement within corporate networks. Given the critical CVSS score and the lack of required authentication, attackers could exploit this vulnerability remotely and at scale. The risk is heightened for organizations heavily invested in AI automation and those with complex internal network architectures. Additionally, the potential for SSRF to be a pivot point for further attacks makes this vulnerability a serious threat to operational continuity and data security in European enterprises.

1. Immediately upgrade AutoGPT installations to autogpt-platform-beta-v0.6.34 or later, where the vulnerability is patched. 2. Implement strict network egress filtering on servers running AutoGPT to restrict outbound HTTP/HTTPS requests only to trusted domains and IP ranges. 3. Employ Web Application Firewalls (WAFs) with rules designed to detect and block SSRF attack patterns, especially targeting URL input parameters. 4. Conduct thorough input validation and sanitization on any user-supplied URLs or external resource references within custom workflows or extensions. 5. Monitor logs for unusual outbound requests originating from AutoGPT servers, focusing on internal IP ranges or sensitive endpoints. 6. Segment networks to limit the ability of compromised servers to reach critical internal services. 7. Educate development and security teams about SSRF risks and secure coding practices to prevent similar vulnerabilities in future AI automation components.