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CVE Vulnerability Database
Vulnerability Database/CVE-2025-57529

CVE-2025-57529: CPAS Audit Management System SQLi Flaw

CVE-2025-57529 is a SQL injection vulnerability in YouDataSum CPAS Audit Management System that allows unauthenticated attackers to execute arbitrary SQL commands and access sensitive data. This article covers affected versions, impact, and mitigation.

Published: February 6, 2026

CVE-2025-57529 Overview

CVE-2025-57529 is a SQL Injection vulnerability affecting YouDataSum CPAS Audit Management System versions 4.9 and earlier. The vulnerability exists in the /cpasList/findArchiveReportByDah endpoint due to insufficient input validation, allowing remote unauthenticated attackers to execute arbitrary SQL commands via crafted input parameters. Successful exploitation could lead to unauthorized data access, data manipulation, and potential complete database compromise.

Critical Impact

This vulnerability allows unauthenticated remote attackers to execute arbitrary SQL commands against the backend database, potentially leading to unauthorized data access, data exfiltration, and database manipulation without requiring any credentials.

Affected Products

  • YouDataSum CPAS Audit Management System version 4.9 and earlier
  • Systems with the vulnerable /cpasList/findArchiveReportByDah endpoint exposed

Discovery Timeline

  • 2026-02-03 - CVE-2025-57529 published to NVD
  • 2026-02-04 - Last updated in NVD database

Technical Details for CVE-2025-57529

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) occurs when user-supplied input to the /cpasList/findArchiveReportByDah endpoint is incorporated directly into SQL queries without proper sanitization or parameterization. The application fails to implement adequate input validation, allowing attackers to inject malicious SQL statements that are then executed by the database engine.

The vulnerability is particularly severe because it can be exploited remotely over the network without requiring any authentication or user interaction. An attacker can craft malicious input containing SQL metacharacters and commands that modify the intended query logic, potentially gaining access to sensitive audit management data, modifying records, or even executing administrative operations on the database server.

Root Cause

The root cause of this vulnerability is improper input validation (CWE-89: SQL Injection). The application directly concatenates user-supplied input into SQL queries without using parameterized queries or prepared statements. This allows specially crafted input containing SQL syntax to be interpreted as part of the query structure rather than as data values.

Attack Vector

The attack vector is network-based, targeting the /cpasList/findArchiveReportByDah endpoint. An unauthenticated attacker can send specially crafted HTTP requests containing malicious SQL payloads in the vulnerable parameter. The lack of input sanitization allows these payloads to be executed directly against the database.

The vulnerability can be exploited through standard HTTP requests by injecting SQL commands into the affected parameter. Attackers may use techniques such as UNION-based injection to extract data from other tables, blind SQL injection to infer database contents, or time-based injection to confirm vulnerability presence. Technical details and proof-of-concept information are available in the GitHub PoC Repository and the CVE-2025-57529 Documentation.

Detection Methods for CVE-2025-57529

Indicators of Compromise

  • Unusual or malformed requests to the /cpasList/findArchiveReportByDah endpoint containing SQL syntax such as single quotes, UNION statements, or comment sequences
  • Database error messages in application logs indicating SQL syntax errors from unexpected input
  • Anomalous database query patterns or unexpected data access in database audit logs
  • Evidence of data exfiltration or unauthorized database queries in network traffic logs

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns targeting the vulnerable endpoint
  • Implement application-level logging to capture all requests to /cpasList/findArchiveReportByDah with full parameter values
  • Configure database query logging and monitor for anomalous query patterns or syntax errors
  • Use intrusion detection systems with signatures for SQL injection attack patterns

Monitoring Recommendations

  • Enable detailed access logging for the CPAS Audit Management System web application
  • Monitor database server logs for failed query attempts, unexpected UNION operations, or time-delay functions
  • Set up alerts for requests containing common SQL injection characters and keywords (e.g., ', --, UNION, SELECT, OR 1=1)
  • Review network traffic for unusually large response sizes from the vulnerable endpoint that could indicate data exfiltration

How to Mitigate CVE-2025-57529

Immediate Actions Required

  • Restrict network access to the /cpasList/findArchiveReportByDah endpoint using firewall rules or access control lists
  • Deploy WAF rules to block SQL injection attempts against the CPAS application
  • If possible, disable or remove the vulnerable endpoint until a patch is available
  • Audit database access logs for any signs of prior exploitation

Patch Information

No official vendor patch information is currently available. Monitor the GitHub CVE-2025-57529 Documentation and vendor channels for updates regarding security patches for YouDataSum CPAS Audit Management System.

Workarounds

  • Implement input validation at the web server or reverse proxy level to reject requests containing SQL metacharacters
  • Use a Web Application Firewall configured with SQL injection protection rules
  • Restrict access to the vulnerable endpoint to trusted IP addresses only
  • Consider placing the application behind authentication mechanisms even for previously public endpoints

If implementing custom input filtering, ensure requests to /cpasList/findArchiveReportByDah are validated to reject potentially malicious SQL injection patterns. However, input filtering should be considered a temporary measure and not a replacement for proper parameterized queries in the application code.

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechYoudata Sum

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability0.04%

  • 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
  • GitHub PoC Repository

  • GitHub CVE-2025-57529 Documentation
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