CVE-2023-46945: QD 20230821 SSRF Vulnerability

CVE-2023-46945 Overview

CVE-2023-46945 is a Server-Side Request Forgery (SSRF) vulnerability affecting QD version 20230821. This vulnerability allows attackers to craft malicious requests that can manipulate the server into making unintended HTTP requests to internal or external resources. SSRF vulnerabilities are particularly dangerous as they can bypass network access controls and enable attackers to access internal systems, exfiltrate sensitive data, or pivot to other network resources.

Critical Impact
This SSRF vulnerability enables unauthenticated attackers to forge server-side requests, potentially accessing internal services, cloud metadata endpoints, or sensitive internal resources that should not be externally accessible.

Affected Products

QD version 20230821

Discovery Timeline

2026-04-08 - CVE-2023-46945 published to NVD
2026-04-09 - Last updated in NVD database

Technical Details for CVE-2023-46945

Vulnerability Analysis

This vulnerability is classified under CWE-918 (Server-Side Request Forgery), which occurs when a web application fetches a remote resource without properly validating the user-supplied URL. In the case of QD 20230821, the application accepts external input that influences the destination of server-side HTTP requests without adequate sanitization or restriction.

The network-accessible attack vector combined with the low complexity required for exploitation makes this vulnerability particularly concerning. No privileges or user interaction are required to exploit this flaw, allowing attackers to target the vulnerability remotely with minimal effort. The impact primarily affects confidentiality and integrity, as attackers can potentially read sensitive data from internal services and manipulate backend systems.

Root Cause

The root cause of this vulnerability lies in insufficient input validation and URL filtering within QD's request handling mechanism. The application fails to properly validate, sanitize, or restrict user-controlled input that is used to construct server-side HTTP requests. This allows attackers to inject arbitrary URLs or IP addresses, directing the server to make requests to unintended destinations including internal network resources, localhost services, or cloud provider metadata endpoints.

Attack Vector

The attack is executed remotely over the network by sending specially crafted requests to the vulnerable QD application. An attacker can manipulate request parameters to cause the server to:

Access internal services: Target internal APIs, databases, or administrative interfaces that are not directly accessible from the external network
Retrieve cloud metadata: Access cloud provider metadata services (e.g., http://169.254.169.254/) to obtain credentials, API keys, or sensitive configuration data
Port scanning: Enumerate internal network services by observing response times or error messages
Bypass access controls: Circumvent IP-based authentication or firewall rules by having requests originate from a trusted internal server

The vulnerability can be exploited by crafting a malicious request that includes an attacker-controlled URL parameter. Technical details and proof-of-concept information are available in the GitHub Gist PoC Repository.

Detection Methods for CVE-2023-46945

Indicators of Compromise

Unusual outbound HTTP requests from the QD application server to internal IP ranges (e.g., 10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16)
Server-side requests targeting cloud metadata endpoints such as 169.254.169.254
Unexpected connections to localhost services (ports 22, 25, 80, 443, 3306, 5432, 6379, etc.)
Log entries showing requests to unusual or unexpected external domains initiated by the server

Detection Strategies

Monitor application logs for URL parameters containing internal IP addresses, localhost references, or cloud metadata URLs
Implement network-level monitoring to detect outbound connections from web servers to sensitive internal resources
Deploy web application firewalls (WAF) with SSRF detection rules to identify and block malicious request patterns
Analyze HTTP request patterns for URL redirection attempts or encoded payloads designed to bypass filters

Monitoring Recommendations

Enable verbose logging for all outbound HTTP requests made by the QD application
Configure alerts for server-initiated connections to RFC 1918 private address ranges
Monitor DNS queries from application servers for resolution of internal hostnames or suspicious domains
Implement egress filtering to restrict the destinations the application server can reach

How to Mitigate CVE-2023-46945

Immediate Actions Required

Review and update the QD application to the latest available version that addresses this vulnerability
Implement network-level egress filtering to restrict outbound connections from the application server
Deploy a web application firewall (WAF) with SSRF protection rules
Disable unnecessary network protocols and restrict the application's ability to make arbitrary HTTP requests

Patch Information

Consult the QD Today Security Analysis page for the latest security updates and patching information. Organizations running QD version 20230821 should prioritize upgrading to a patched version as soon as one becomes available.

Workarounds

Implement strict allowlist-based URL validation that only permits connections to known, trusted destinations
Block requests to private IP ranges, loopback addresses, and cloud metadata endpoints at the network level
Use a dedicated proxy server for outbound requests with strict destination filtering
Apply input validation to reject URLs containing IP addresses, localhost, or internal hostnames
Consider disabling or restricting the functionality that processes external URLs until a patch is applied