CVE-2025-57529
CVE-2025-57529
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
YouDataSum CPAS Audit Management System <=v4.9 is vulnerable to SQL Injection in /cpasList/findArchiveReportByDah due to insufficient input validation. This allows remote unauthenticated attackers to execute arbitrary SQL commands via crafted input to the parameter. Successful exploitation could lead to unauthorized data access
Comprehensive Technical Analysis of CVE-2025-57529
Vulnerability ID: CVE-2025-57529 CVSS Score: 9.8 (Critical) Affected Software: YouDataSum CPAS Audit Management System ≤ v4.9 Vulnerability Type: SQL Injection (SQLi) Attack Vector: Remote, Unauthenticated
1. Vulnerability Assessment & Severity Evaluation
Vulnerability Overview
CVE-2025-57529 is a critical SQL Injection (SQLi) vulnerability in the YouDataSum CPAS Audit Management System, specifically in the /cpasList/findArchiveReportByDah endpoint. The flaw stems from insufficient input validation in a parameter, allowing unauthenticated attackers to inject and execute arbitrary SQL commands.
CVSS v3.1 Breakdown (Score: 9.8 - Critical)
| Metric | Value | Explanation |
|---|---|---|
| Attack Vector (AV) | Network (N) | Exploitable remotely over the network. |
| Attack Complexity (AC) | Low (L) | No specialized conditions required. |
| Privileges Required (PR) | None (N) | No authentication needed. |
| User Interaction (UI) | None (N) | No user interaction required. |
| Scope (S) | Unchanged (U) | Affects only the vulnerable component. |
| Confidentiality (C) | High (H) | Full database access possible. |
| Integrity (I) | High (H) | Data manipulation or deletion possible. |
| Availability (A) | High (H) | Potential for database disruption. |
Severity Justification
- Unauthenticated Access: Attackers do not require credentials, significantly increasing exploitability.
- Arbitrary SQL Execution: Enables full database compromise, including data exfiltration, modification, or deletion.
- High Impact: Successful exploitation could lead to complete system compromise, including:
- Unauthorized access to sensitive audit logs, user credentials, and financial data.
- Privilege escalation via database manipulation (e.g., modifying user roles).
- Potential lateral movement if the database contains credentials for other systems.
2. Potential Attack Vectors & Exploitation Methods
Exploitation Mechanism
The vulnerability exists in the /cpasList/findArchiveReportByDah endpoint, where a user-supplied parameter (likely dah or similar) is directly concatenated into an SQL query without proper sanitization or parameterized queries.
Example Attack Scenario:
-
Reconnaissance:
- Attacker identifies the vulnerable endpoint via HTTP requests or source code analysis (if available).
- Determines the injectable parameter (e.g.,
dah).
-
SQL Injection Payload:
- A basic Boolean-based blind SQLi payload could be:
GET /cpasList/findArchiveReportByDah?dah=1' OR '1'='1 HTTP/1.1 - A UNION-based SQLi payload (if the application returns query results):
GET /cpasList/findArchiveReportByDah?dah=1' UNION SELECT 1,username,password,4 FROM users-- HTTP/1.1 - A Time-based blind SQLi payload (if no direct output is visible):
GET /cpasList/findArchiveReportByDah?dah=1' AND (SELECT * FROM (SELECT(SLEEP(10)))a)-- HTTP/1.1
- A basic Boolean-based blind SQLi payload could be:
-
Post-Exploitation:
- Data Exfiltration: Extract sensitive data (e.g., PII, audit logs, credentials).
- Database Manipulation: Modify or delete records (e.g., altering audit trails to cover tracks).
- Remote Code Execution (RCE): If the database supports command execution (e.g., MySQL
LOAD_FILE(), MSSQLxp_cmdshell), an attacker could escalate to RCE.
Automated Exploitation Tools
- SQLmap: Can automate detection and exploitation:
sqlmap -u "http://target.com/cpasList/findArchiveReportByDah?dah=1" --batch --dbs - Burp Suite / OWASP ZAP: Manual testing with intercepting proxies to craft payloads.
3. Affected Systems & Software Versions
Vulnerable Software
- Product: YouDataSum CPAS (Audit Management System)
- Affected Versions: ≤ v4.9 (all versions up to and including 4.9)
- Unaffected Versions: v4.10+ (assuming a patch has been released)
Deployment Context
- Typical Use Case: Enterprise audit management, compliance tracking, and financial reporting.
- Industries at Risk: Government, healthcare, finance, and corporations relying on audit trail integrity.
- Attack Surface: Public-facing web applications with the vulnerable endpoint exposed.
4. Recommended Mitigation Strategies
Immediate Actions (Short-Term)
-
Apply Vendor Patch:
- Upgrade to YouDataSum CPAS v4.10+ (or the latest patched version) immediately.
- If no patch is available, disable the vulnerable endpoint or restrict access via network controls.
-
Temporary Workarounds:
- Web Application Firewall (WAF) Rules:
- Deploy a WAF (e.g., ModSecurity, Cloudflare) with SQLi detection rules (e.g., OWASP Core Rule Set).
- Block requests containing SQL keywords (
UNION,SELECT,DROP,--,/*).
- Input Validation & Sanitization:
- Implement strict input validation (whitelisting allowed characters).
- Use parameterized queries (prepared statements) instead of dynamic SQL.
- Network-Level Protections:
- Restrict access to the
/cpasList/findArchiveReportByDahendpoint via IP whitelisting or VPN requirements.
- Restrict access to the
- Web Application Firewall (WAF) Rules:
Long-Term Remediation (Secure Development Practices)
-
Code-Level Fixes:
- Use ORM (Object-Relational Mapping): Replace raw SQL with ORM frameworks (e.g., Hibernate, Django ORM).
- Parameterized Queries: Ensure all database queries use prepared statements.
// Example (Java with JDBC) String query = "SELECT * FROM reports WHERE dah = ?"; PreparedStatement stmt = connection.prepareStatement(query); stmt.setString(1, userInput); - Least Privilege Database Access: Restrict database user permissions (e.g., no
DROP TABLEprivileges).
-
Security Testing:
- Static Application Security Testing (SAST): Use tools like SonarQube, Checkmarx to detect SQLi vulnerabilities.
- Dynamic Application Security Testing (DAST): Scan with Burp Suite, OWASP ZAP, or Nessus.
- Penetration Testing: Conduct regular red team exercises to identify injection flaws.
-
Monitoring & Logging:
- Enable Database Auditing: Log all SQL queries for anomaly detection.
- SIEM Integration: Forward logs to a SIEM (e.g., Splunk, ELK, QRadar) for real-time alerting on suspicious queries.
5. Impact on the Cybersecurity Landscape
Broader Implications
-
Increased Attack Surface for Enterprises:
- Audit management systems often contain highly sensitive data (e.g., financial records, compliance reports).
- Exploitation could lead to regulatory violations (e.g., GDPR, SOX, HIPAA) and reputational damage.
-
Rise in Automated Exploits:
- Given the CVSS 9.8 rating, this vulnerability is likely to be weaponized quickly by threat actors.
- Ransomware groups may exploit it for initial access or data exfiltration.
-
Supply Chain Risks:
- If YouDataSum CPAS is used by third-party vendors, compromise could lead to supply chain attacks.
-
Compliance & Legal Risks:
- Organizations failing to patch may face fines (e.g., GDPR penalties up to 4% of global revenue).
- Insurance implications: Cyber insurance policies may deny claims if patches were not applied.
Threat Actor Motivations
| Threat Actor | Likely Exploitation Goal |
|---|---|
| Cybercriminals | Data theft for resale (e.g., PII, financial records). |
| Ransomware Groups | Initial access for encryption or double extortion. |
| State-Sponsored APTs | Espionage (e.g., stealing audit trails for intelligence). |
| Insider Threats | Covering fraudulent activities by altering audit logs. |
6. Technical Details for Security Professionals
Vulnerability Root Cause Analysis
- Flaw Location:
/cpasList/findArchiveReportByDahendpoint. - Injectable Parameter: Likely
dah(or similar, based on PoC references). - Underlying Issue: Lack of input sanitization and direct SQL query concatenation.
-- Example of vulnerable query (pseudo-code) String query = "SELECT * FROM archive_reports WHERE dah = '" + userInput + "'"; - Database Backend: Likely MySQL, PostgreSQL, or MSSQL (common in enterprise audit systems).
Proof-of-Concept (PoC) Analysis
Based on the referenced GitHub repositories (songqb-xx/CPAS-bug, CVE-2025-57529):
- Exploitation Steps:
- Send a crafted HTTP request with a malicious
dahparameter. - Observe database errors or unexpected behavior (e.g., delayed responses for time-based SQLi).
- Send a crafted HTTP request with a malicious
- Example Payloads:
- Error-Based SQLi:
GET /cpasList/findArchiveReportByDah?dah=1' AND 1=CONVERT(int, (SELECT table_name FROM information_schema.tables))-- HTTP/1.1 - UNION-Based Data Exfiltration:
GET /cpasList/findArchiveReportByDah?dah=1' UNION SELECT 1,username,password,4 FROM users-- HTTP/1.1
- Error-Based SQLi:
- Post-Exploitation:
- Dump database schema (
information_schema). - Extract sensitive tables (e.g.,
users,audit_logs,financial_records).
- Dump database schema (
Detection & Forensics
-
Indicators of Compromise (IoCs):
- Network Logs:
- Unusual HTTP requests containing SQL keywords (
UNION,SELECT,DROP). - Multiple failed login attempts followed by successful SQLi exploitation.
- Unusual HTTP requests containing SQL keywords (
- Database Logs:
- Anomalous queries (e.g.,
SELECT * FROM usersfrom an unauthenticated source). - Unexpected
SLEEP()orBENCHMARK()function calls.
- Anomalous queries (e.g.,
- Application Logs:
- Errors like
SQL syntax errororunexpected end of SQL command.
- Errors like
- Network Logs:
-
Forensic Investigation:
- Timeline Analysis: Correlate exploitation attempts with database changes.
- Memory Forensics: Check for in-memory SQLi payloads (e.g., using Volatility).
- Database Forensics: Analyze transaction logs for unauthorized modifications.
Advanced Exploitation (If Unpatched)
- Database Takeover:
- If the database user has high privileges, an attacker could:
- MySQL: Use
INTO OUTFILEto write webshells. - MSSQL: Enable
xp_cmdshellfor RCE. - PostgreSQL: Use
COPYto exfiltrate data to a remote server.
- MySQL: Use
- If the database user has high privileges, an attacker could:
- Lateral Movement:
- Extract credentials from the database to pivot to other systems.
Conclusion & Recommendations
Key Takeaways
- CVE-2025-57529 is a critical, unauthenticated SQLi vulnerability with high exploitability and severe impact.
- Immediate patching is mandatory to prevent data breaches, compliance violations, and potential RCE.
- Defense-in-depth strategies (WAF, input validation, least privilege) are essential to mitigate risk.
Action Plan for Security Teams
| Priority | Action Item |
|---|---|
| Critical | Apply vendor patch (v4.10+) or disable the vulnerable endpoint. |
| High | Deploy WAF rules to block SQLi attempts. |
| High | Audit database logs for signs of exploitation. |
| Medium | Conduct a penetration test to verify remediation. |
| Medium | Review and harden database permissions. |
| Low | Implement long-term secure coding practices (ORM, parameterized queries). |
Final Remarks
This vulnerability underscores the critical importance of input validation and secure coding practices in enterprise software. Given the CVSS 9.8 rating, organizations must treat this as a top-priority security risk and respond accordingly. Failure to mitigate could result in catastrophic data breaches and regulatory penalties.
For further technical details, refer to the GitHub PoC repositories and vendor advisories as they become available.