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CVE Vulnerability Database
Vulnerability Database/CVE-2024-22406

CVE-2024-22406: Shopware Search API SQLi Vulnerability

CVE-2024-22406 is a SQL injection flaw in Shopware's application API search functionality that allows attackers to execute time-based SQL queries. This article covers technical details, affected versions, and mitigation.

Published: April 8, 2026

CVE-2024-22406 Overview

CVE-2024-22406 is a SQL Injection vulnerability affecting Shopware, an open headless commerce platform. The vulnerability exists within the Shopware application API's search functionality, which allows users to search through information stored within their Shopware instance. Specifically, the name field in the "aggregations" object is vulnerable to SQL injection attacks that can be exploited using time-based SQL queries.

Critical Impact

This SQL injection vulnerability allows unauthenticated attackers to execute arbitrary SQL commands against the Shopware database, potentially leading to complete data exfiltration, database manipulation, or full system compromise.

Affected Products

  • Shopware versions prior to 6.5.7.4
  • Shopware versions 6.1, 6.2, 6.3, and 6.4 (security plugin available)

Discovery Timeline

  • 2024-01-16 - CVE-2024-22406 published to NVD
  • 2024-11-21 - Last updated in NVD database

Technical Details for CVE-2024-22406

Vulnerability Analysis

This vulnerability stems from improper input validation in the Shopware application API's search aggregation functionality. The search API accepts a JSON payload containing an "aggregations" object, which allows users to perform aggregated searches across their Shopware data. The name field within this aggregations object is directly incorporated into SQL queries without proper sanitization or parameterization.

The time-based blind SQL injection technique allows attackers to extract database information by observing response time differences. By injecting SQL statements that cause conditional delays (such as SLEEP() or BENCHMARK() functions), an attacker can infer database structure and extract sensitive data character by character, even without direct error messages or visible output.

Root Cause

The root cause of CVE-2024-22406 is improper neutralization of special elements used in SQL commands (CWE-89). The application fails to properly sanitize user-supplied input in the name field of the aggregations parameter before incorporating it into database queries. This lack of input validation allows malicious SQL syntax to be interpreted and executed by the database engine.

Attack Vector

The attack vector is network-based, requiring no authentication or user interaction. An attacker can craft malicious HTTP requests to the Shopware application API endpoint containing specially crafted SQL payloads in the aggregations name field. The attack leverages time-based blind SQL injection techniques, where the attacker measures response delays to determine if injected conditions evaluate as true or false.

The exploitation process involves sending requests with SQL injection payloads that introduce conditional time delays. For example, injecting SQL statements that cause the database to sleep for a specified duration if a condition is met allows attackers to extract database information through observed response times. This technique can be automated to efficiently extract large amounts of data from the underlying database.

Detection Methods for CVE-2024-22406

Indicators of Compromise

  • Unusual API requests to search endpoints containing SQL syntax characters such as single quotes, semicolons, or SQL keywords in the aggregations parameter
  • Abnormally long response times from the application API that may indicate time-based SQL injection attempts
  • Database query logs showing unexpected SLEEP(), BENCHMARK(), or WAITFOR commands
  • Multiple sequential requests to the same endpoint with incrementally modified payloads

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in API requests
  • Monitor application logs for requests containing SQL injection signatures in the aggregations name field
  • Deploy database activity monitoring to identify suspicious query patterns or time-delay functions
  • Use intrusion detection systems configured with SQL injection detection rulesets

Monitoring Recommendations

  • Enable detailed logging for all API endpoints, particularly the search functionality
  • Configure alerts for requests with unusually long processing times that may indicate time-based attacks
  • Monitor for patterns of repeated requests from single sources with varying payloads
  • Review database query execution logs for anomalous SQL syntax or unexpected function calls

How to Mitigate CVE-2024-22406

Immediate Actions Required

  • Update Shopware to version 6.5.7.4 or later immediately
  • For users on Shopware 6.1, 6.2, 6.3, or 6.4, install the corresponding security plugin provided by Shopware
  • Implement WAF rules to filter SQL injection attempts targeting the search API
  • Review access logs for potential exploitation attempts prior to patching

Patch Information

Shopware has released version 6.5.7.4 which addresses this vulnerability. Users should update to this version to receive the complete fix. For organizations running older versions (6.1, 6.2, 6.3, or 6.4), Shopware has made security measures available via a plugin. However, for the full range of security functions, updating to the latest Shopware version is strongly recommended. See the GitHub Security Advisory for complete details.

Workarounds

  • Deploy a Web Application Firewall with strict SQL injection filtering rules for API endpoints
  • Implement rate limiting on the search API to slow potential automated exploitation attempts
  • Consider temporarily restricting access to the search API functionality if immediate patching is not possible
  • Apply network-level restrictions to limit API access to trusted sources only
bash
# Example WAF rule concept for blocking SQL injection in aggregations
# Implement in your WAF configuration to filter malicious requests
# Block requests containing SQL keywords in aggregation name parameters
# ModSecurity example rule pattern:
SecRule ARGS:aggregations "@rx (?i)(sleep|benchmark|waitfor|delay)" \
    "id:100001,phase:2,deny,status:403,msg:'SQL Injection attempt in aggregations'"

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechShopware

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability0.22%

  • 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
  • GitHub Security Advisory
  • Related CVEs
  • CVE-2025-27892: Shopware SQL Injection Vulnerability

  • CVE-2026-31888: Shopware Information Disclosure Flaw

  • CVE-2026-31887: Shopware Auth Bypass Vulnerability

  • CVE-2026-31889: Shopware Auth Bypass Vulnerability
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