CVE-2025-8123: SQL Injection in deerwms deer-wms-2
A vulnerability was found in deerwms deer-wms-2 up to 3.3. It has been classified as critical. Affected is an unknown function of the file /system/dept/edit. The manipulation of the argument ancestors leads to sql injection. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used.
AI Analysis
Technical Summary
CVE-2025-8123 is a medium-severity SQL Injection vulnerability affecting deerwms deer-wms-2 versions 3.0 through 3.3. The vulnerability exists in an unspecified function within the /system/dept/edit file, where the 'ancestors' argument is improperly sanitized, allowing an attacker to inject malicious SQL code. This flaw can be exploited remotely without requiring user interaction or elevated privileges, making it accessible to unauthenticated attackers with network access to the affected system. The vulnerability could allow attackers to manipulate backend database queries, potentially leading to unauthorized data access, data modification, or disruption of service. Although the CVSS 4.0 base score is 5.3 (medium), the exploitability is relatively straightforward due to the lack of authentication and user interaction requirements. No public exploit code has been confirmed in the wild yet, but the vulnerability details have been publicly disclosed, increasing the risk of exploitation. The absence of available patches or mitigation links indicates that affected organizations must proactively implement compensating controls or monitor for suspicious activity until official fixes are released.
Potential Impact
For European organizations using deer-wms-2, this vulnerability poses a risk of unauthorized access to sensitive data stored in the backend databases, potentially including organizational, operational, or customer information. Data integrity could be compromised by unauthorized modifications, and availability might be affected if attackers leverage the vulnerability to execute disruptive SQL commands. Given that deer-wms-2 is a warehouse management system, exploitation could disrupt supply chain operations, inventory tracking, and logistics management, leading to operational downtime and financial losses. The medium severity rating suggests moderate risk; however, the ease of remote exploitation without authentication elevates the threat level. Organizations in sectors with critical supply chain dependencies, such as manufacturing, retail, and logistics, could face significant operational impacts. Additionally, regulatory compliance risks exist under GDPR if personal data is exposed or altered due to this vulnerability.
Mitigation Recommendations
Since no patches are currently available, European organizations should immediately implement the following mitigations: 1) Restrict network access to the deer-wms-2 application, limiting it to trusted internal networks and VPNs to reduce exposure to remote attackers. 2) Employ Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection patterns targeting the 'ancestors' parameter in /system/dept/edit requests. 3) Conduct thorough input validation and sanitization on all user-supplied data, especially the 'ancestors' argument, if custom code modifications are feasible. 4) Monitor application and database logs for anomalous queries or repeated failed attempts indicative of SQL injection exploitation. 5) Prepare for rapid patch deployment by closely following vendor communications and subscribing to security advisories related to deerwms. 6) Consider isolating the affected application components in segmented network zones to contain potential breaches. 7) Educate IT and security teams about this vulnerability to ensure prompt detection and response.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland
CVE-2025-8123: SQL Injection in deerwms deer-wms-2
Description
A vulnerability was found in deerwms deer-wms-2 up to 3.3. It has been classified as critical. Affected is an unknown function of the file /system/dept/edit. The manipulation of the argument ancestors leads to sql injection. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used.
AI-Powered Analysis
Technical Analysis
CVE-2025-8123 is a medium-severity SQL Injection vulnerability affecting deerwms deer-wms-2 versions 3.0 through 3.3. The vulnerability exists in an unspecified function within the /system/dept/edit file, where the 'ancestors' argument is improperly sanitized, allowing an attacker to inject malicious SQL code. This flaw can be exploited remotely without requiring user interaction or elevated privileges, making it accessible to unauthenticated attackers with network access to the affected system. The vulnerability could allow attackers to manipulate backend database queries, potentially leading to unauthorized data access, data modification, or disruption of service. Although the CVSS 4.0 base score is 5.3 (medium), the exploitability is relatively straightforward due to the lack of authentication and user interaction requirements. No public exploit code has been confirmed in the wild yet, but the vulnerability details have been publicly disclosed, increasing the risk of exploitation. The absence of available patches or mitigation links indicates that affected organizations must proactively implement compensating controls or monitor for suspicious activity until official fixes are released.
Potential Impact
For European organizations using deer-wms-2, this vulnerability poses a risk of unauthorized access to sensitive data stored in the backend databases, potentially including organizational, operational, or customer information. Data integrity could be compromised by unauthorized modifications, and availability might be affected if attackers leverage the vulnerability to execute disruptive SQL commands. Given that deer-wms-2 is a warehouse management system, exploitation could disrupt supply chain operations, inventory tracking, and logistics management, leading to operational downtime and financial losses. The medium severity rating suggests moderate risk; however, the ease of remote exploitation without authentication elevates the threat level. Organizations in sectors with critical supply chain dependencies, such as manufacturing, retail, and logistics, could face significant operational impacts. Additionally, regulatory compliance risks exist under GDPR if personal data is exposed or altered due to this vulnerability.
Mitigation Recommendations
Since no patches are currently available, European organizations should immediately implement the following mitigations: 1) Restrict network access to the deer-wms-2 application, limiting it to trusted internal networks and VPNs to reduce exposure to remote attackers. 2) Employ Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection patterns targeting the 'ancestors' parameter in /system/dept/edit requests. 3) Conduct thorough input validation and sanitization on all user-supplied data, especially the 'ancestors' argument, if custom code modifications are feasible. 4) Monitor application and database logs for anomalous queries or repeated failed attempts indicative of SQL injection exploitation. 5) Prepare for rapid patch deployment by closely following vendor communications and subscribing to security advisories related to deerwms. 6) Consider isolating the affected application components in segmented network zones to contain potential breaches. 7) Educate IT and security teams about this vulnerability to ensure prompt detection and response.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-07-24T15:16:25.044Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6882a2f7ad5a09ad0045efb0
Added to database: 7/24/2025, 9:17:43 PM
Last enriched: 8/1/2025, 1:03:52 AM
Last updated: 9/5/2025, 5:02:12 PM
Views: 36
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