CVE-2025-8703: SQL Injection in Wanzhou WOES Intelligent Optimization Energy Saving System
A vulnerability classified as critical was found in Wanzhou WOES Intelligent Optimization Energy Saving System 1.0. This vulnerability affects unknown code of the file /WEAS_HomePage/GetAreaTrendChartData of the component Environmental Real-Time Data Module. The manipulation of the argument energyId leads to sql injection. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used.
AI Analysis
Technical Summary
CVE-2025-8703 is a medium-severity SQL Injection vulnerability identified in version 1.0 of the Wanzhou WOES Intelligent Optimization Energy Saving System, specifically within the Environmental Real-Time Data Module. The vulnerability arises from improper sanitization or validation of the 'energyId' parameter in the /WEAS_HomePage/GetAreaTrendChartData endpoint. An attacker can remotely manipulate this parameter to inject malicious SQL code, potentially allowing unauthorized access to or modification of the backend database. The vulnerability does not require user interaction or prior authentication, which increases its risk profile. However, the CVSS 4.0 score of 5.3 reflects that the attack complexity is low but privileges required are low (PR:L), and the impact on confidentiality, integrity, and availability is limited (VC:L, VI:L, VA:L). The exploit has been publicly disclosed but there are no known exploits in the wild yet. The lack of available patches or mitigations from the vendor further elevates the risk for organizations using this system. Given that the WOES system is an energy optimization platform, exploitation could disrupt environmental data reporting or manipulation, potentially impacting operational decisions based on this data.
Potential Impact
For European organizations utilizing the Wanzhou WOES Intelligent Optimization Energy Saving System, this vulnerability poses a risk to the integrity and availability of environmental and energy consumption data. Compromise of this data could lead to incorrect energy optimization decisions, resulting in increased operational costs or failure to meet regulatory energy efficiency targets. Additionally, unauthorized database access could expose sensitive operational data, potentially violating data protection regulations such as GDPR if personal or sensitive information is stored. Disruptions in energy management systems could also affect critical infrastructure facilities, especially those relying on real-time environmental data for operational safety and efficiency. The remote and unauthenticated nature of the exploit increases the likelihood of exploitation, particularly in environments where the system is exposed to external networks without adequate segmentation or firewall protections.
Mitigation Recommendations
Organizations should immediately assess their deployment of the Wanzhou WOES Intelligent Optimization Energy Saving System to determine exposure. Network-level mitigations include restricting access to the /WEAS_HomePage/GetAreaTrendChartData endpoint via firewall rules or VPNs, limiting exposure to trusted internal networks only. Application-level mitigations involve implementing input validation and parameter sanitization for the 'energyId' parameter to prevent SQL injection. If vendor patches are unavailable, consider deploying Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection attempts targeting this endpoint. Regularly monitor logs for suspicious queries or anomalous database activity. Additionally, conduct thorough audits of database permissions to ensure the application uses least privilege principles, limiting the potential damage of a successful injection. Finally, plan for vendor engagement to obtain official patches or updates and prioritize their deployment once available.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Belgium, Poland
CVE-2025-8703: SQL Injection in Wanzhou WOES Intelligent Optimization Energy Saving System
Description
A vulnerability classified as critical was found in Wanzhou WOES Intelligent Optimization Energy Saving System 1.0. This vulnerability affects unknown code of the file /WEAS_HomePage/GetAreaTrendChartData of the component Environmental Real-Time Data Module. The manipulation of the argument energyId leads to sql injection. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used.
AI-Powered Analysis
Technical Analysis
CVE-2025-8703 is a medium-severity SQL Injection vulnerability identified in version 1.0 of the Wanzhou WOES Intelligent Optimization Energy Saving System, specifically within the Environmental Real-Time Data Module. The vulnerability arises from improper sanitization or validation of the 'energyId' parameter in the /WEAS_HomePage/GetAreaTrendChartData endpoint. An attacker can remotely manipulate this parameter to inject malicious SQL code, potentially allowing unauthorized access to or modification of the backend database. The vulnerability does not require user interaction or prior authentication, which increases its risk profile. However, the CVSS 4.0 score of 5.3 reflects that the attack complexity is low but privileges required are low (PR:L), and the impact on confidentiality, integrity, and availability is limited (VC:L, VI:L, VA:L). The exploit has been publicly disclosed but there are no known exploits in the wild yet. The lack of available patches or mitigations from the vendor further elevates the risk for organizations using this system. Given that the WOES system is an energy optimization platform, exploitation could disrupt environmental data reporting or manipulation, potentially impacting operational decisions based on this data.
Potential Impact
For European organizations utilizing the Wanzhou WOES Intelligent Optimization Energy Saving System, this vulnerability poses a risk to the integrity and availability of environmental and energy consumption data. Compromise of this data could lead to incorrect energy optimization decisions, resulting in increased operational costs or failure to meet regulatory energy efficiency targets. Additionally, unauthorized database access could expose sensitive operational data, potentially violating data protection regulations such as GDPR if personal or sensitive information is stored. Disruptions in energy management systems could also affect critical infrastructure facilities, especially those relying on real-time environmental data for operational safety and efficiency. The remote and unauthenticated nature of the exploit increases the likelihood of exploitation, particularly in environments where the system is exposed to external networks without adequate segmentation or firewall protections.
Mitigation Recommendations
Organizations should immediately assess their deployment of the Wanzhou WOES Intelligent Optimization Energy Saving System to determine exposure. Network-level mitigations include restricting access to the /WEAS_HomePage/GetAreaTrendChartData endpoint via firewall rules or VPNs, limiting exposure to trusted internal networks only. Application-level mitigations involve implementing input validation and parameter sanitization for the 'energyId' parameter to prevent SQL injection. If vendor patches are unavailable, consider deploying Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection attempts targeting this endpoint. Regularly monitor logs for suspicious queries or anomalous database activity. Additionally, conduct thorough audits of database permissions to ensure the application uses least privilege principles, limiting the potential damage of a successful injection. Finally, plan for vendor engagement to obtain official patches or updates and prioritize their deployment once available.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-08-07T14:08:41.433Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6895495bad5a09ad00fe8c69
Added to database: 8/8/2025, 12:48:27 AM
Last enriched: 8/15/2025, 1:12:46 AM
Last updated: 11/6/2025, 10:26:06 AM
Views: 52
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