CVE-2025-8126: SQL Injection in deerwms deer-wms-2
A vulnerability classified as critical has been found in deerwms deer-wms-2 up to 3.3. This affects an unknown part of the file /system/user/export. The manipulation of the argument params[dataScope] leads to sql injection. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used.
AI Analysis
Technical Summary
CVE-2025-8126 is a medium-severity SQL Injection vulnerability identified in the deerwms deer-wms-2 product, specifically affecting versions 3.0 through 3.3. The vulnerability exists in an unspecified part of the /system/user/export file, where the argument params[dataScope] is improperly sanitized, allowing an attacker to inject malicious SQL code. This flaw can be exploited remotely without requiring user interaction or authentication, as indicated by the CVSS vector (AV:N/AC:L/AT:N/PR:L/UI:N). The vulnerability impacts confidentiality, integrity, and availability at a low level, as the CVSS score of 5.3 suggests. The attack complexity is low, but some privileges are required (PR:L), meaning the attacker must have limited privileges on the system to exploit the flaw. The vulnerability does not involve scope change or security controls bypass. Although no known exploits are currently observed in the wild, the public disclosure of the exploit code increases the risk of exploitation. The vulnerability allows attackers to manipulate the SQL queries executed by the application, potentially leading to unauthorized data access, data modification, or denial of service through database corruption or crashes. Given the nature of warehouse management systems like deer-wms-2, which handle inventory and logistics data, exploitation could disrupt supply chain operations or expose sensitive business information.
Potential Impact
For European organizations using deer-wms-2 versions 3.0 to 3.3, this vulnerability poses a moderate risk. Warehouse management systems are critical for logistics, inventory control, and supply chain management. Exploitation could lead to unauthorized access to inventory data, manipulation of stock records, or disruption of order processing. This could result in financial losses, operational downtime, and reputational damage. Additionally, if sensitive customer or supplier data is stored or processed via the affected system, confidentiality breaches could occur, potentially violating GDPR requirements and leading to regulatory penalties. The remote exploitability without user interaction increases the risk of automated attacks targeting exposed systems. Organizations relying heavily on deer-wms-2 for their logistics operations in Europe should consider this vulnerability a significant operational risk, especially in sectors like manufacturing, retail, and distribution where supply chain integrity is paramount.
Mitigation Recommendations
Given the absence of official patches or updates linked in the provided information, European organizations should implement immediate compensating controls. These include: 1) Restricting network access to the deer-wms-2 application, limiting it to trusted internal IP ranges and VPN connections to reduce exposure to remote attackers. 2) Implementing Web Application Firewall (WAF) rules specifically designed to detect and block SQL injection attempts targeting the params[dataScope] parameter. 3) Conducting thorough input validation and sanitization on the params[dataScope] parameter at the application or proxy level if possible. 4) Monitoring application logs and database query logs for unusual or suspicious activity indicative of SQL injection attempts. 5) Applying the principle of least privilege to database accounts used by deer-wms-2, ensuring they have only the minimum necessary permissions to limit the impact of a successful injection. 6) Planning and prioritizing an upgrade or patch deployment once an official fix is released by the vendor. 7) Conducting security awareness training for IT staff to recognize and respond to exploitation attempts promptly.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland
CVE-2025-8126: SQL Injection in deerwms deer-wms-2
Description
A vulnerability classified as critical has been found in deerwms deer-wms-2 up to 3.3. This affects an unknown part of the file /system/user/export. The manipulation of the argument params[dataScope] leads to sql injection. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used.
AI-Powered Analysis
Technical Analysis
CVE-2025-8126 is a medium-severity SQL Injection vulnerability identified in the deerwms deer-wms-2 product, specifically affecting versions 3.0 through 3.3. The vulnerability exists in an unspecified part of the /system/user/export file, where the argument params[dataScope] is improperly sanitized, allowing an attacker to inject malicious SQL code. This flaw can be exploited remotely without requiring user interaction or authentication, as indicated by the CVSS vector (AV:N/AC:L/AT:N/PR:L/UI:N). The vulnerability impacts confidentiality, integrity, and availability at a low level, as the CVSS score of 5.3 suggests. The attack complexity is low, but some privileges are required (PR:L), meaning the attacker must have limited privileges on the system to exploit the flaw. The vulnerability does not involve scope change or security controls bypass. Although no known exploits are currently observed in the wild, the public disclosure of the exploit code increases the risk of exploitation. The vulnerability allows attackers to manipulate the SQL queries executed by the application, potentially leading to unauthorized data access, data modification, or denial of service through database corruption or crashes. Given the nature of warehouse management systems like deer-wms-2, which handle inventory and logistics data, exploitation could disrupt supply chain operations or expose sensitive business information.
Potential Impact
For European organizations using deer-wms-2 versions 3.0 to 3.3, this vulnerability poses a moderate risk. Warehouse management systems are critical for logistics, inventory control, and supply chain management. Exploitation could lead to unauthorized access to inventory data, manipulation of stock records, or disruption of order processing. This could result in financial losses, operational downtime, and reputational damage. Additionally, if sensitive customer or supplier data is stored or processed via the affected system, confidentiality breaches could occur, potentially violating GDPR requirements and leading to regulatory penalties. The remote exploitability without user interaction increases the risk of automated attacks targeting exposed systems. Organizations relying heavily on deer-wms-2 for their logistics operations in Europe should consider this vulnerability a significant operational risk, especially in sectors like manufacturing, retail, and distribution where supply chain integrity is paramount.
Mitigation Recommendations
Given the absence of official patches or updates linked in the provided information, European organizations should implement immediate compensating controls. These include: 1) Restricting network access to the deer-wms-2 application, limiting it to trusted internal IP ranges and VPN connections to reduce exposure to remote attackers. 2) Implementing Web Application Firewall (WAF) rules specifically designed to detect and block SQL injection attempts targeting the params[dataScope] parameter. 3) Conducting thorough input validation and sanitization on the params[dataScope] parameter at the application or proxy level if possible. 4) Monitoring application logs and database query logs for unusual or suspicious activity indicative of SQL injection attempts. 5) Applying the principle of least privilege to database accounts used by deer-wms-2, ensuring they have only the minimum necessary permissions to limit the impact of a successful injection. 6) Planning and prioritizing an upgrade or patch deployment once an official fix is released by the vendor. 7) Conducting security awareness training for IT staff to recognize and respond to exploitation attempts promptly.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-07-24T15:16:41.901Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6882ecccad5a09ad004d0c1d
Added to database: 7/25/2025, 2:32:44 AM
Last enriched: 7/25/2025, 2:47:40 AM
Last updated: 7/26/2025, 12:34:14 AM
Views: 6
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