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CVE Vulnerability Database
Vulnerability Database/CVE-2025-57140

CVE-2025-57140: Ruisitech Ruisibi SQL Injection Flaw

CVE-2025-57140 is a SQL injection vulnerability in Ruisitech Ruisibi rsbi-pom 4.7 affecting the /bi/service/model/DatasetService path. This post covers technical details, affected versions, security impact, and mitigation.

Published: March 25, 2026

CVE-2025-57140 Overview

CVE-2025-57140 is a critical SQL Injection vulnerability affecting rsbi-pom version 4.7, an open-source business intelligence platform developed by Ruisitech. The vulnerability exists in the /bi/service/model/DatasetService path, allowing unauthenticated remote attackers to inject malicious SQL queries and potentially compromise the underlying database system.

SQL Injection vulnerabilities of this nature enable attackers to bypass authentication mechanisms, extract sensitive data, modify or delete database contents, and in some cases achieve remote code execution on the underlying server through database-specific features.

Critical Impact

Unauthenticated attackers can exploit this SQL Injection vulnerability to gain complete access to backend database systems, potentially leading to full data breach, data manipulation, and system compromise.

Affected Products

  • Ruisitech Ruisibi 4.7 (Open Source Edition)
  • rsbi-pom 4.7

Discovery Timeline

  • 2025-09-02 - CVE-2025-57140 published to NVD
  • 2025-09-04 - Last updated in NVD database

Technical Details for CVE-2025-57140

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) exists within the DatasetService component of the Ruisibi business intelligence platform. The vulnerable endpoint at /bi/service/model/DatasetService fails to properly sanitize user-supplied input before incorporating it into SQL queries. This allows attackers to manipulate the structure and logic of database queries executed by the application.

The vulnerability is particularly severe because it can be exploited remotely over the network without requiring authentication or user interaction. An attacker can leverage this flaw to extract sensitive business intelligence data, modify dataset configurations, or potentially pivot to compromise the entire database server.

Root Cause

The root cause of this vulnerability is improper input validation and the use of unsanitized user input in SQL query construction. The DatasetService component appears to directly concatenate user-supplied parameters into SQL statements rather than using parameterized queries or prepared statements, which would prevent SQL injection attacks.

Attack Vector

The attack can be executed remotely over the network by sending specially crafted HTTP requests to the vulnerable /bi/service/model/DatasetService endpoint. The attacker does not require any prior authentication or special privileges to exploit this vulnerability.

The exploitation mechanism involves injecting SQL syntax into request parameters that are processed by the DatasetService. By carefully crafting these payloads, an attacker can manipulate the resulting SQL query to perform unauthorized operations such as:

  • Extracting database schema information
  • Dumping sensitive data from tables
  • Modifying or deleting records
  • Executing database administrative commands
  • Potentially achieving code execution through database-specific features like xp_cmdshell (MSSQL) or LOAD_FILE/INTO OUTFILE (MySQL)

For detailed technical analysis and proof-of-concept information, refer to the vulnerability report on GitHub.

Detection Methods for CVE-2025-57140

Indicators of Compromise

  • Unusual HTTP requests to /bi/service/model/DatasetService containing SQL syntax characters such as single quotes, semicolons, UNION statements, or comment sequences
  • Database error messages in application logs indicating malformed SQL queries
  • Unexpected database queries containing SQL injection patterns like OR 1=1, UNION SELECT, or -- comment sequences
  • Anomalous database access patterns or bulk data extraction operations

Detection Strategies

  • Deploy web application firewall (WAF) rules to detect and block SQL injection attempts targeting the DatasetService endpoint
  • Implement network intrusion detection signatures for SQL injection payloads in HTTP traffic directed at the Ruisibi application
  • Enable detailed SQL query logging on the database server to identify suspicious or malformed queries
  • Configure application logging to capture all requests to the /bi/service/model/DatasetService path for forensic analysis

Monitoring Recommendations

  • Monitor HTTP request logs for requests to /bi/service/model/DatasetService containing special characters commonly used in SQL injection attacks
  • Set up alerts for database errors related to SQL syntax that may indicate attempted exploitation
  • Implement behavioral analysis to detect unusual data access patterns that deviate from normal application usage
  • Monitor for signs of data exfiltration or unauthorized database modifications

How to Mitigate CVE-2025-57140

Immediate Actions Required

  • Restrict network access to the Ruisibi application to trusted IP ranges or internal networks only until a patch is available
  • Implement WAF rules to block SQL injection attempts targeting the /bi/service/model/DatasetService endpoint
  • Review database accounts used by the application and apply the principle of least privilege to limit potential damage from exploitation
  • Enable enhanced logging and monitoring to detect any exploitation attempts

Patch Information

At the time of publication, no official security patch has been released by Ruisitech for this vulnerability. Organizations are advised to monitor the rsbi-pom GitHub repository for updates and security releases. Until a patch becomes available, implement the recommended workarounds and monitoring strategies.

Workarounds

  • Deploy a web application firewall (WAF) with SQL injection protection rules in front of the Ruisibi application
  • Implement network segmentation to isolate the Ruisibi application from untrusted networks
  • Apply input validation at the reverse proxy or load balancer level to filter requests containing suspicious SQL characters
  • Consider temporarily disabling the DatasetService endpoint if it is not critical to operations
bash
# Example nginx configuration to block SQL injection attempts
location /bi/service/model/DatasetService {
    # Block requests containing common SQL injection patterns
    if ($args ~* "(union|select|insert|update|delete|drop|--|;|'|\"|\\x27|\\x22)") {
        return 403;
    }
    
    # Restrict access to trusted IP ranges
    allow 10.0.0.0/8;
    allow 192.168.0.0/16;
    deny all;
    
    proxy_pass http://ruisibi_backend;
}

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechRuisitech Ruisibi

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability0.05%

  • 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
  • Technical References
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