CVE-2025-62615: AutoGPT Platform SSRF Vulnerability

CVE-2025-62615 Overview

CVE-2025-62615 is a Server-Side Request Forgery (SSRF) vulnerability affecting AutoGPT, a platform that enables users to create, deploy, and manage continuous artificial intelligence agents for automating complex workflows. The vulnerability exists in the RSSFeedBlock component where the third-party library urllib.request.urlopen is used to directly access URLs without proper input filtering or validation. This lack of URL sanitization allows attackers to craft malicious requests that can access internal network resources, potentially leading to unauthorized data access or further exploitation of internal systems.

Critical Impact

Unauthenticated remote attackers can exploit this SSRF vulnerability to access internal network resources, potentially exfiltrating sensitive data or pivoting to attack other internal systems through the AutoGPT platform.

Affected Products

• AutoGPT Platform versions prior to autogpt-platform-beta-v0.6.34

Discovery Timeline

• 2026-02-04 - CVE CVE-2025-62615 published to NVD
• 2026-02-05 - Last updated in NVD database

Technical Details for CVE-2025-62615

Vulnerability Analysis

This SSRF vulnerability (CWE-918) occurs in the RSSFeedBlock component of AutoGPT where user-supplied URLs are passed directly to urllib.request.urlopen without any validation or filtering. SSRF vulnerabilities allow attackers to induce the server-side application to make HTTP requests to an arbitrary domain of the attacker's choosing. In this case, an attacker can supply malicious URLs that target internal services, cloud metadata endpoints (such as http://169.254.169.254/), or other protected resources that are normally inaccessible from external networks.

The vulnerability is particularly dangerous in cloud environments where metadata services can expose sensitive credentials and configuration data. An attacker exploiting this flaw could potentially access AWS IAM credentials, Azure managed identity tokens, or GCP service account tokens, depending on the deployment environment.

Root Cause

The root cause of this vulnerability is the failure to implement proper input validation and URL filtering in the RSSFeedBlock component. The code directly passes user-controlled URL input to urllib.request.urlopen without checking whether the destination is an internal or restricted address. Proper SSRF mitigation requires implementing allowlists for permitted URL schemes and hosts, blocking requests to private IP ranges (RFC 1918), loopback addresses, and cloud provider metadata endpoints.

Attack Vector

The attack vector is network-based and requires no authentication or user interaction. An attacker can craft requests to the RSSFeedBlock functionality with specially crafted URLs pointing to internal resources. The vulnerable component will then make server-side requests to these internal addresses, returning the response data to the attacker. This enables reconnaissance of internal network infrastructure, access to cloud metadata services, port scanning of internal hosts, and potential data exfiltration from internal APIs or databases.

Common attack payloads include URLs targeting:

• Cloud metadata services (e.g., http://169.254.169.254/latest/meta-data/)
• Internal HTTP services on localhost or private IP ranges
• Internal APIs and administrative interfaces
• DNS rebinding attacks to bypass hostname-based restrictions

Detection Methods for CVE-2025-62615

Indicators of Compromise

• Outbound HTTP/HTTPS requests from AutoGPT servers to internal IP ranges (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16)
• Requests to cloud metadata endpoints (169.254.169.254) from the AutoGPT application
• Unusual network traffic patterns showing connections to internal services from the AutoGPT platform
• Log entries in RSSFeedBlock processing containing internal or loopback addresses

Detection Strategies

• Implement network monitoring to detect requests from AutoGPT servers to internal IP ranges or metadata endpoints
• Configure Web Application Firewall (WAF) rules to detect SSRF patterns in incoming requests
• Monitor application logs for URL parameters containing private IP addresses, localhost, or cloud metadata URLs
• Deploy intrusion detection systems (IDS) with signatures for common SSRF payloads

Monitoring Recommendations

• Enable verbose logging for the RSSFeedBlock component to capture all URL requests
• Set up alerts for any outbound connections to RFC 1918 private address spaces from AutoGPT deployments
• Monitor cloud provider audit logs for metadata endpoint access from unexpected sources
• Implement egress filtering and logging on network firewalls to track outbound requests from AutoGPT servers

How to Mitigate CVE-2025-62615

Immediate Actions Required

• Upgrade AutoGPT to version autogpt-platform-beta-v0.6.34 or later immediately
• Implement network-level egress filtering to block requests to internal IP ranges from the AutoGPT server
• Review application logs for evidence of SSRF exploitation attempts
• If upgrade is not immediately possible, consider temporarily disabling the RSSFeedBlock functionality

Patch Information

The vulnerability has been patched in AutoGPT version autogpt-platform-beta-v0.6.34. Organizations running affected versions should upgrade immediately. For additional details and patch information, refer to the GitHub Security Advisory.

Workarounds

• Implement network-level controls to block outbound requests to private IP ranges (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16) and cloud metadata endpoints
• Deploy a proxy server with URL allowlisting for all outbound HTTP requests from the AutoGPT platform
• Use firewall rules to restrict the AutoGPT server's ability to access internal network resources
• Consider implementing application-level URL validation as an additional defense layer if source code modifications are possible

# Example iptables rules to block SSRF to internal networks
# Block access to private IP ranges from AutoGPT server
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 169.254.169.254 -j DROP
iptables -A OUTPUT -d 127.0.0.0/8 -j DROP