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CVE Vulnerability Database
Vulnerability Database/CVE-2022-22280

CVE-2022-22280: SonicWall Analytics SQL Injection Flaw

CVE-2022-22280 is an unauthenticated SQL injection vulnerability in SonicWall Analytics that allows attackers to execute malicious SQL commands. This article covers technical details, affected versions, and mitigation.

Published: February 18, 2026

CVE-2022-22280 Overview

CVE-2022-22280 is an unauthenticated SQL Injection vulnerability affecting SonicWall Global Management System (GMS) and Analytics On-Prem products. The vulnerability stems from improper neutralization of special elements used in SQL commands, allowing remote attackers to execute arbitrary SQL queries against the backend database without requiring authentication.

This vulnerability is particularly dangerous because it requires no authentication, enabling attackers to directly interact with the database through network-accessible interfaces. Successful exploitation could lead to unauthorized data access, data manipulation, or complete database compromise.

Critical Impact

Remote unauthenticated attackers can execute arbitrary SQL commands against SonicWall GMS and Analytics databases, potentially leading to complete data breach, data manipulation, or system compromise.

Affected Products

  • SonicWall Global Management System (GMS) 9.3.1-SP2-Hotfix1 and earlier versions
  • SonicWall Analytics On-Prem 2.5.0.3-2520 and earlier versions
  • SonicWall Global Management System 9.3.1

Discovery Timeline

  • 2022-07-29 - CVE-2022-22280 published to NVD
  • 2024-11-21 - Last updated in NVD database

Technical Details for CVE-2022-22280

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) allows attackers to inject malicious SQL statements into application queries through network-accessible endpoints. The flaw exists due to insufficient input sanitization in the affected SonicWall products, where user-supplied data is incorporated into SQL queries without proper validation or parameterization.

The vulnerability is accessible over the network and requires no privileges or user interaction to exploit. An attacker can leverage this flaw to bypass authentication mechanisms, extract sensitive data from the database, modify or delete records, or potentially execute administrative operations on the database server.

Given that SonicWall GMS is used to centrally manage multiple SonicWall firewall appliances, successful exploitation could provide attackers with access to configuration data, credentials, and network topology information across an organization's security infrastructure.

Root Cause

The root cause of CVE-2022-22280 is the failure to properly sanitize or parameterize user-controlled input before incorporating it into SQL queries. The application accepts external input and directly concatenates or interpolates it into SQL statements, allowing attackers to break out of the intended query structure and inject their own SQL commands.

This type of vulnerability typically occurs when developers use dynamic SQL construction methods instead of prepared statements or parameterized queries, or when input validation and output encoding are insufficient or missing entirely.

Attack Vector

The attack can be executed remotely over the network without authentication. An attacker would send specially crafted HTTP requests to the vulnerable SonicWall GMS or Analytics On-Prem web interface containing malicious SQL payloads. These payloads are designed to manipulate the structure of backend database queries.

Typical SQL injection attack techniques applicable to this vulnerability include:

  • Union-based attacks - Combining results from injected queries with legitimate query results to extract data
  • Boolean-based blind injection - Inferring database contents through true/false responses
  • Time-based blind injection - Using database time delay functions to extract data character by character
  • Stacked queries - Executing multiple SQL statements to perform data modification or administrative actions

Detection Methods for CVE-2022-22280

Indicators of Compromise

  • Unusual or malformed HTTP requests to GMS or Analytics web interfaces containing SQL syntax characters (', ", ;, --, /*)
  • Database logs showing unexpected query patterns, errors, or excessive data extraction
  • Anomalous authentication events or privilege escalations in application logs
  • Unexpected changes to database records or configuration data

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in HTTP traffic
  • Enable detailed logging on SonicWall GMS and Analytics applications and monitor for suspicious request patterns
  • Implement database activity monitoring to detect unusual query execution or data access patterns
  • Use intrusion detection systems (IDS) with signatures for SQL injection attack techniques

Monitoring Recommendations

  • Regularly review web server access logs for requests containing SQL injection indicators
  • Monitor database query logs for syntax errors, unusual UNION statements, or time-delay functions
  • Set up alerts for failed authentication attempts followed by successful data access
  • Track network traffic to GMS and Analytics interfaces for anomalous volume or patterns

How to Mitigate CVE-2022-22280

Immediate Actions Required

  • Apply the security patches provided by SonicWall immediately to all affected GMS and Analytics On-Prem installations
  • Restrict network access to GMS and Analytics management interfaces to trusted IP ranges only
  • Implement Web Application Firewall (WAF) rules to filter SQL injection attempts as an additional defense layer
  • Review database and application logs for any signs of prior exploitation

Patch Information

SonicWall has released security updates to address this vulnerability. Administrators should consult the SonicWall Vulnerability Advisory SNWLID-2022-0007 for specific patch versions and download links. Organizations should prioritize upgrading to patched versions of GMS and Analytics On-Prem as soon as possible.

Workarounds

  • Implement strict network segmentation to limit access to GMS and Analytics management interfaces
  • Deploy a Web Application Firewall (WAF) with SQL injection detection rules in front of the vulnerable applications
  • Use firewall rules to restrict management interface access to specific trusted administrator IP addresses
  • Consider temporarily disabling external network access to affected systems until patches can be applied
bash
# Example: Restrict access to SonicWall GMS interface via firewall rules
# Only allow trusted management network to access GMS web interface
iptables -A INPUT -p tcp --dport 443 -s 10.0.10.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 443 -j DROP

# Enable logging for blocked connection attempts
iptables -A INPUT -p tcp --dport 443 -j LOG --log-prefix "GMS-BLOCKED: "

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechSonicwall Analytics

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability3.93%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-89
  • Vendor Resources
  • SonicWall Vulnerability Advisory SNWLID-2022-0007
  • Related CVEs
  • CVE-2021-20032: SonicWall Analytics JDWP RCE Vulnerability
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