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CVE Vulnerability Database
Vulnerability Database/CVE-2025-15625

CVE-2025-15625: Sparx Pro Cloud Server SQLi Vulnerability

CVE-2025-15625 is a SQL injection flaw in Sparx Pro Cloud Server allowing unauthenticated attackers to execute arbitrary SQL commands. This article covers the technical details, affected systems, and mitigation.

Published: April 23, 2026

CVE-2025-15625 Overview

CVE-2025-15625 is a critical SQL injection vulnerability affecting Sparx Pro Cloud Server. An unauthenticated user is able to execute arbitrary SQL commands in the Sparx Pro Cloud Server database in certain cases. This vulnerability allows remote attackers to bypass authentication mechanisms and directly manipulate backend database operations without requiring any credentials.

Critical Impact

Unauthenticated attackers can execute arbitrary SQL commands against the database, potentially leading to complete data compromise, unauthorized data modification, and full database takeover.

Affected Products

  • Sparx Pro Cloud Server (versions prior to patched release)

Discovery Timeline

  • 2026-04-17 - CVE CVE-2025-15625 published to NVD
  • 2026-04-17 - Last updated in NVD database

Technical Details for CVE-2025-15625

Vulnerability Analysis

This vulnerability is classified as CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection). The flaw exists in the Sparx Pro Cloud Server's handling of user-supplied input, where insufficient input validation allows attackers to inject malicious SQL statements into database queries.

The network-accessible nature of this vulnerability makes it particularly dangerous, as attackers can exploit it remotely without requiring any prior authentication or user interaction. The high attack complexity indicates that specific conditions must be met for successful exploitation, but when exploited, the impact spans confidentiality, integrity, and availability of both the vulnerable system and potentially connected systems.

Root Cause

The root cause of CVE-2025-15625 lies in improper input sanitization within the Sparx Pro Cloud Server application. User-supplied data is incorporated into SQL queries without adequate validation or parameterization, allowing specially crafted input to break out of the intended query structure and execute arbitrary SQL commands. This represents a fundamental failure to implement secure coding practices for database interactions, specifically the lack of prepared statements or parameterized queries.

Attack Vector

The attack vector for this vulnerability is network-based, requiring no authentication or user interaction. An attacker can craft malicious HTTP requests containing SQL injection payloads directed at vulnerable endpoints in the Sparx Pro Cloud Server. When processed by the server, these payloads are passed directly to the database engine, allowing the attacker to:

  • Extract sensitive data from the database
  • Modify or delete existing records
  • Bypass authentication mechanisms
  • Potentially execute administrative operations on the database
  • Escalate privileges within the application

The vulnerability manifests in scenarios where user input is concatenated directly into SQL query strings without proper escaping or parameterization. Attackers can leverage common SQL injection techniques such as UNION-based attacks, blind SQL injection, or time-based attacks to extract information or manipulate database contents. For technical details on the vulnerability and remediation, see the Sparx Systems Release History.

Detection Methods for CVE-2025-15625

Indicators of Compromise

  • Unusual SQL error messages in application logs indicating malformed queries
  • Unexpected database queries containing SQL injection patterns such as ' OR '1'='1, UNION SELECT, or -- comment sequences
  • Anomalous authentication bypass events or unauthorized data access
  • Database audit logs showing queries from unexpected sources or with unusual syntax

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns
  • Implement database activity monitoring to identify suspicious query patterns and unauthorized access attempts
  • Enable detailed application logging for all database interactions and review for anomalous activity
  • Utilize intrusion detection systems (IDS) with signatures for SQL injection attack patterns

Monitoring Recommendations

  • Monitor web server access logs for requests containing SQL injection metacharacters and keywords
  • Implement real-time alerting on database error rates and unusual query failures
  • Track authentication events for bypass attempts and impossible login scenarios
  • Establish baseline database query patterns and alert on significant deviations

How to Mitigate CVE-2025-15625

Immediate Actions Required

  • Review the Sparx Systems Release History for available security updates and apply the latest patch immediately
  • Restrict network access to Sparx Pro Cloud Server to trusted IP ranges using firewall rules
  • Implement a Web Application Firewall (WAF) with SQL injection protection as a defense-in-depth measure
  • Audit database user permissions and apply the principle of least privilege

Patch Information

Sparx Systems has released security updates to address this vulnerability. Organizations should consult the Sparx Systems Release History for the latest version information and apply updates following their change management procedures. Given the critical severity rating, patching should be prioritized and expedited.

Workarounds

  • Implement network segmentation to isolate the Sparx Pro Cloud Server from untrusted networks
  • Deploy a reverse proxy or WAF configured to filter SQL injection patterns before requests reach the application
  • Disable or restrict access to vulnerable endpoints until patching is complete
  • Enable enhanced database auditing to detect and respond to exploitation attempts
bash
# Example WAF rule configuration for SQL injection mitigation
# Add to reverse proxy or WAF configuration

# Block common SQL injection patterns
SecRule ARGS "@detectSQLi" "id:1001,phase:2,deny,status:403,msg:'SQL Injection Detected'"

# Restrict database user permissions (PostgreSQL example)
# REVOKE ALL ON ALL TABLES IN SCHEMA public FROM app_user;
# GRANT SELECT, INSERT, UPDATE ON specific_tables TO app_user;

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechSparx Pro Cloud Server

  • SeverityCRITICAL

  • CVSS Score9.5

  • EPSS Probability0.03%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:P/AU:Y/R:I/V:C/RE:M/U:Red
  • Impact Assessment
  • ConfidentialityHigh
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-89
  • Technical References
  • Sparx Systems Release History
  • Related CVEs
  • CVE-2025-15624: Sparx Pro Cloud Server Password Exposure

  • CVE-2025-15623: Sparx Pro Cloud Server Info Disclosure
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