CVE-2025-62616 Overview
CVE-2025-62616 is a Server-Side Request Forgery (SSRF) vulnerability affecting AutoGPT, a platform that enables users to create, deploy, and manage continuous artificial intelligence agents that automate complex workflows. The vulnerability exists in the SendDiscordFileBlock component where the third-party library aiohttp.ClientSession().get is used directly to access URLs without proper input filtering or validation.
Critical Impact
This SSRF vulnerability allows unauthenticated attackers to force the AutoGPT server to make arbitrary HTTP requests to internal or external resources, potentially exposing sensitive internal services, cloud metadata endpoints, and enabling further network reconnaissance or attacks.
Affected Products
- AutoGPT Platform versions prior to autogpt-platform-beta-v0.6.34
- AutoGPT deployments utilizing the SendDiscordFileBlock functionality
- Systems with accessible internal network resources from the AutoGPT server
Discovery Timeline
- 2026-02-04 - CVE CVE-2025-62616 published to NVD
- 2026-02-05 - Last updated in NVD database
Technical Details for CVE-2025-62616
Vulnerability Analysis
This SSRF vulnerability (CWE-918) stems from insufficient input validation in the SendDiscordFileBlock component of the AutoGPT platform. The vulnerable code directly passes user-supplied URLs to the aiohttp.ClientSession().get() method without implementing any URL filtering, allowlist validation, or scheme restrictions. This design flaw allows attackers to craft malicious requests that the server will execute on their behalf.
The attack requires no authentication and can be executed remotely over the network with low complexity. Successful exploitation can result in high confidentiality and integrity impact, as attackers can access internal resources, read sensitive data from cloud metadata services (such as AWS IMDSv1 at http://169.254.169.254/), or interact with internal APIs that should not be externally accessible.
Root Cause
The root cause of CVE-2025-62616 is the direct use of the aiohttp.ClientSession().get() method with unvalidated user input. The SendDiscordFileBlock component accepts a URL parameter intended for fetching Discord files, but fails to implement critical security controls including:
- URL scheme validation (restricting to HTTPS only)
- Hostname/IP address allowlist or denylist filtering
- Private IP address range blocking (RFC 1918 addresses)
- Cloud metadata endpoint blocking
- DNS rebinding protection
Attack Vector
The vulnerability is exploited through network-based attacks where an attacker provides a malicious URL to the SendDiscordFileBlock component. The attack vector allows for several exploitation scenarios:
The attacker can target internal network resources by supplying URLs pointing to internal IP addresses (e.g., http://192.168.1.1/admin, http://10.0.0.1/api/secrets). They can also access cloud metadata services to retrieve instance credentials, configuration data, and other sensitive information. Additionally, the vulnerability enables port scanning of internal networks by observing response timing and error messages, as well as potential interaction with internal services that may have weaker authentication requirements.
Detection Methods for CVE-2025-62616
Indicators of Compromise
- Unusual outbound HTTP requests from the AutoGPT server to internal IP ranges (10.x.x.x, 172.16-31.x.x, 192.168.x.x)
- Requests to cloud metadata endpoints (169.254.169.254, 169.254.170.2)
- HTTP requests to localhost or 127.0.0.1 from the AutoGPT application
- Unexpected DNS lookups for internal hostnames from the AutoGPT server
Detection Strategies
- Monitor network traffic from AutoGPT servers for requests to private IP address ranges and cloud metadata endpoints
- Implement Web Application Firewall (WAF) rules to detect and block SSRF patterns in URL parameters
- Enable verbose logging on the AutoGPT platform to capture all URL fetch operations in SendDiscordFileBlock
- Deploy network segmentation monitoring to detect unauthorized lateral movement attempts
Monitoring Recommendations
- Configure alerting for any HTTP requests from AutoGPT servers to internal network segments
- Establish baseline network behavior for AutoGPT deployments and alert on deviations
- Monitor cloud provider logs for metadata service access from unexpected sources
- Implement DNS query logging to detect potential SSRF reconnaissance activities
How to Mitigate CVE-2025-62616
Immediate Actions Required
- Upgrade to autogpt-platform-beta-v0.6.34 or later immediately
- If immediate patching is not possible, disable or restrict access to the SendDiscordFileBlock functionality
- Implement network-level controls to restrict outbound traffic from AutoGPT servers
- Review logs for any signs of exploitation prior to patching
Patch Information
AutoGPT has addressed this vulnerability in version autogpt-platform-beta-v0.6.34. The patch implements proper URL filtering and validation before processing requests in the SendDiscordFileBlock component. Organizations should upgrade to this version or later to remediate the vulnerability. For detailed patch information, refer to the GitHub Security Advisory.
Workarounds
- Implement network-level egress filtering to block requests from AutoGPT servers to internal IP ranges and cloud metadata endpoints
- Deploy a reverse proxy with URL validation rules in front of the AutoGPT application
- Restrict the AutoGPT server's network access using firewall rules to only allow necessary outbound connections
- Consider running AutoGPT in an isolated network segment with limited access to sensitive internal resources
# Example iptables rules to block common SSRF targets from AutoGPT server
# Block cloud metadata endpoints
iptables -A OUTPUT -d 169.254.169.254 -j DROP
iptables -A OUTPUT -d 169.254.170.2 -j DROP
# Block private IP ranges (adjust based on your network requirements)
iptables -A OUTPUT -d 10.0.0.0/8 -j DROP
iptables -A OUTPUT -d 172.16.0.0/12 -j DROP
iptables -A OUTPUT -d 192.168.0.0/16 -j DROP
iptables -A OUTPUT -d 127.0.0.0/8 -j DROP
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
