CVE-2025-22217: Avi Load Balancer SQLi Vulnerability

CVE-2025-22217 Overview

CVE-2025-22217 is an unauthenticated blind SQL Injection vulnerability affecting VMware Avi Load Balancer. This vulnerability was privately reported to VMware (now part of Broadcom) and allows a malicious user with network access to execute specially crafted SQL queries to gain unauthorized database access. The vulnerability requires no authentication, making it particularly dangerous for exposed Avi Load Balancer deployments.

Critical Impact
Unauthenticated attackers with network access can exploit this blind SQL injection flaw to extract sensitive database information from VMware Avi Load Balancer systems without any authentication requirements.

Affected Products

VMware Avi Load Balancer (specific affected versions detailed in Broadcom Security Advisory)
Broadcom VMware Avi Load Balancer deployments accessible via network

Discovery Timeline

2025-01-28 - CVE-2025-22217 published to NVD
2025-01-28 - Last updated in NVD database

Technical Details for CVE-2025-22217

Vulnerability Analysis

This vulnerability is classified under CWE-89 (SQL Injection), one of the most critical web application security flaws. The blind SQL injection variant present in VMware Avi Load Balancer allows attackers to infer database information through application responses without directly viewing query results. Since the vulnerability requires no authentication, any attacker with network access to the Avi Load Balancer management interface can attempt exploitation.

The attack can be conducted remotely across the network, requires no user interaction, and has no complexity barriers for exploitation. The primary impact is unauthorized access to confidential information stored in the backend database, which may include configuration data, credentials, and other sensitive operational information.

Root Cause

The root cause of CVE-2025-22217 lies in improper input validation and sanitization within the Avi Load Balancer application. User-supplied input is incorporated into SQL queries without adequate parameterization or escaping, allowing attackers to inject malicious SQL statements. This represents a fundamental secure coding failure where dynamic SQL query construction accepts untrusted input directly into query strings.

Attack Vector

The attack is network-based, requiring the attacker to have network connectivity to the vulnerable Avi Load Balancer instance. As a blind SQL injection vulnerability, the attacker sends specially crafted SQL queries through application input fields and observes the application's behavior (response timing, error messages, or content differences) to infer database structure and extract data. The exploitation technique typically involves:

Identifying injectable parameters in the Avi Load Balancer interface
Crafting boolean-based or time-based blind SQL injection payloads
Systematically extracting database contents character by character
Potentially escalating access to retrieve credentials or configuration data

Since no authentication is required, attackers can probe and exploit the vulnerability without any prior access to the system. The attack does not require user interaction, making it suitable for automated exploitation.

Detection Methods for CVE-2025-22217

Indicators of Compromise

Unusual or malformed HTTP requests containing SQL syntax patterns targeting Avi Load Balancer endpoints
Database query logs showing abnormal query patterns or timing-based delays
Increased response time variance in Avi Load Balancer API responses indicating time-based SQL injection probing
Web application firewall alerts for SQL injection attempt signatures

Detection Strategies

Deploy web application firewall (WAF) rules to detect and block SQL injection patterns in requests to Avi Load Balancer
Enable detailed logging on Avi Load Balancer instances and monitor for suspicious input patterns
Implement database activity monitoring to detect anomalous query behavior
Configure intrusion detection systems (IDS) with signatures for blind SQL injection techniques

Monitoring Recommendations

Monitor network traffic to Avi Load Balancer management interfaces for reconnaissance activity
Set up alerts for failed or unusual authentication patterns even though the vulnerability is unauthenticated
Review database access logs regularly for unexpected data extraction patterns
Correlate web server logs with database logs to identify injection attack chains

How to Mitigate CVE-2025-22217

Immediate Actions Required

Apply the security patches provided by Broadcom/VMware immediately for all affected Avi Load Balancer deployments
Restrict network access to Avi Load Balancer management interfaces to trusted networks only
Implement web application firewall rules to filter SQL injection attempts as a defense-in-depth measure
Review database access logs for any signs of prior exploitation

Patch Information

Broadcom has released patches to remediate this vulnerability in affected VMware Avi Load Balancer products. Administrators should consult the Broadcom Security Advisory #25346 for specific patch versions and installation instructions. It is critical to apply these patches promptly given the unauthenticated nature of the vulnerability.

Workarounds

Implement network segmentation to limit access to Avi Load Balancer management interfaces to authorized administrators only
Deploy a web application firewall (WAF) in front of Avi Load Balancer with SQL injection detection rules enabled
If patching is delayed, consider temporarily disabling network access to the vulnerable component until remediation is complete
Use virtual patching capabilities if available through security appliances to block known exploitation patterns