CVE-2025-62616 is a Server-Side Request Forgery (SSRF) vulnerability identified in the Significant-Gravitas AutoGPT platform, specifically in versions prior to autogpt-platform-beta-v0.6.34. AutoGPT enables users to create and manage continuous AI agents that automate complex workflows. The vulnerability exists in the SendDiscordFileBlock function, where the third-party Python library aiohttp.ClientSession().get is used to fetch URLs without proper input validation or filtering. This lack of sanitization allows an attacker to supply arbitrary URLs, causing the server to perform unintended HTTP requests. SSRF vulnerabilities can be exploited to access internal systems, bypass firewalls, or interact with services not directly exposed to the internet. The CVSS 4.0 base score is 9.3 (critical), reflecting the vulnerability's network attack vector, no required privileges or user interaction, and high impact on confidentiality and integrity. Although no known exploits are currently reported in the wild, the ease of exploitation and potential damage make this a significant threat. The vulnerability was reserved in October 2025 and published in February 2026, with a patch released in autogpt-platform-beta-v0.6.34 that addresses the input validation flaw. The vulnerability does not affect versions 0.6.34 and later. Given AutoGPT's role in automating AI workflows, exploitation could lead to unauthorized internal network access, data leakage, or manipulation of AI-driven processes.

For European organizations, the impact of CVE-2025-62616 can be severe. AutoGPT is used to automate complex AI workflows, often involving sensitive data and critical business processes. An attacker exploiting this SSRF vulnerability could coerce the server to interact with internal services, potentially exposing confidential information or enabling lateral movement within the network. This could lead to data breaches, disruption of AI automation tasks, or unauthorized control over AI agents. The high CVSS score indicates a critical risk to confidentiality and integrity, with no authentication or user interaction required, increasing the likelihood of exploitation. Organizations in sectors such as finance, healthcare, manufacturing, and government, which increasingly adopt AI automation, are particularly at risk. Additionally, the vulnerability could be leveraged to bypass perimeter defenses, making traditional network security controls less effective. The absence of known exploits in the wild suggests a window of opportunity for proactive mitigation before widespread attacks occur.

Immediate mitigation requires upgrading all instances of Significant-Gravitas AutoGPT to version autogpt-platform-beta-v0.6.34 or later, where the SSRF vulnerability is patched. Organizations should audit their deployments to identify any vulnerable versions. Beyond patching, implement strict input validation and sanitization on all user-supplied URLs to prevent malicious requests. Employ network segmentation and firewall rules to restrict outbound HTTP requests from AI automation servers to only trusted destinations. Monitor logs for unusual outbound request patterns indicative of SSRF exploitation attempts. Consider deploying Web Application Firewalls (WAFs) with SSRF detection capabilities. Additionally, conduct security reviews of third-party libraries like aiohttp to ensure safe usage patterns. Educate developers and security teams about SSRF risks in AI platforms and incorporate secure coding practices in future development. Finally, maintain an incident response plan tailored to AI automation environments to quickly address any exploitation attempts.