CVE-2026-7223: HyperChat AI Proxy SSRF Vulnerability

CVE-2026-7223 Overview

A Server-Side Request Forgery (SSRF) vulnerability has been identified in BigSweetPotatoStudio HyperChat versions up to 2.0.0-alpha.63. The vulnerability exists in the fetch function within the AI Proxy Middleware component, specifically in the file packages/core/src/http/aiProxyMiddleware.mts. An attacker can manipulate the baseurl argument to forge server-side requests, potentially accessing internal services, bypassing security controls, or exfiltrating sensitive data from the target environment.

Critical Impact

Remote attackers can exploit this SSRF vulnerability without authentication to access internal network resources, potentially leading to information disclosure, internal service enumeration, or further attacks against backend infrastructure.

Affected Products

• BigSweetPotatoStudio HyperChat versions up to 2.0.0-alpha.63
• AI Proxy Middleware component (aiProxyMiddleware.mts)

Discovery Timeline

• 2026-04-28 - CVE-2026-7223 published to NVD
• 2026-04-29 - Last updated in NVD database

Technical Details for CVE-2026-7223

Vulnerability Analysis

This SSRF vulnerability (CWE-918) occurs in the AI Proxy Middleware component of HyperChat, an AI chat application. The vulnerable code resides in the fetch function located at packages/core/src/http/aiProxyMiddleware.mts. The middleware is designed to proxy requests to AI services, but fails to properly validate or sanitize the baseurl parameter before making outbound HTTP requests.

When processing incoming requests, the middleware accepts user-controlled input for the target URL without implementing adequate security controls. This allows attackers to redirect the server's HTTP requests to arbitrary destinations, including internal network addresses, localhost services, cloud metadata endpoints, or other restricted resources that would normally be inaccessible from an external position.

The exploit has been publicly disclosed through GitHub Issue #142, and the project maintainers have been notified but have not yet responded with a fix.

Root Cause

The root cause of this vulnerability is insufficient input validation in the AI Proxy Middleware's fetch function. The baseurl argument is passed directly into HTTP request operations without proper sanitization, allowlisting, or URL scheme validation. This architectural flaw allows attackers to control the destination of server-initiated requests.

Proper SSRF mitigation requires implementing URL validation that restricts requests to known-safe domains, blocks private IP ranges and localhost addresses, and validates URL schemes to prevent protocol smuggling attacks.

Attack Vector

The vulnerability is exploitable remotely over the network. An attacker can craft malicious requests to the HyperChat application containing manipulated baseurl values. The attack does not require authentication or user interaction, making it relatively straightforward to exploit.

Typical SSRF attack patterns that could be leveraged include:

• Accessing cloud metadata services (e.g., http://169.254.169.254/) to retrieve instance credentials
• Scanning internal network services and ports
• Accessing localhost services that are not exposed externally
• Retrieving sensitive files via file:// protocol handlers (if supported)
• Bypassing firewall rules to reach internal APIs or databases

Technical details and proof-of-concept information are available in the VulDB submission #802265.

Detection Methods for CVE-2026-7223

Indicators of Compromise

• Unusual outbound HTTP requests from the HyperChat application server 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) originating from the application
• Abnormal patterns in the baseurl parameter containing localhost references or private IP addresses
• Increased network traffic from the HyperChat server to previously uncontacted internal services

Detection Strategies

• Implement network monitoring to detect requests from the HyperChat server to internal IP ranges or metadata services
• Deploy web application firewalls (WAF) with SSRF detection rules to identify malicious URL patterns in request parameters
• Enable verbose logging on the HyperChat application to capture all baseurl values processed by the AI Proxy Middleware
• Use intrusion detection systems (IDS) to alert on suspicious outbound connection patterns from web application servers

Monitoring Recommendations

• Monitor application logs for requests containing private IP addresses, localhost, or cloud metadata URLs in the baseurl field
• Set up alerts for outbound connections from the HyperChat server to RFC 1918 private address spaces
• Review network flow data for anomalous traffic patterns from application servers to internal infrastructure
• Implement DNS query logging to detect resolution attempts for internal hostnames from the application server

How to Mitigate CVE-2026-7223

Immediate Actions Required

• Restrict network access from the HyperChat application server to only required external AI service endpoints
• Implement a network-level allowlist for outbound connections from the application
• Deploy a reverse proxy or WAF with SSRF protection capabilities in front of the HyperChat application
• Consider temporarily disabling the AI Proxy Middleware if it is not essential for operations until a patch is available

Patch Information

No official patch is currently available. According to the vulnerability report, the project maintainers were notified through GitHub Issue #142 but have not yet responded. Organizations using HyperChat should monitor the HyperChat GitHub repository for security updates and patches.

For additional technical details, refer to VulDB #359823.

Workarounds

• Implement a strict URL allowlist at the network level, permitting only connections to legitimate AI service provider domains
• Deploy network segmentation to isolate the HyperChat application server from sensitive internal resources
• Use egress firewall rules to block outbound connections to private IP ranges (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16) and localhost (127.0.0.0/8)
• Block access to cloud metadata endpoints (169.254.169.254) from the application server
• Consider implementing a custom middleware or reverse proxy that validates and sanitizes the baseurl parameter before passing requests to the vulnerable component

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