CVE-2025-8162: SQL Injection in deerwms deer-wms-2
A vulnerability, which was classified as critical, has been found in deerwms deer-wms-2 up to 3.3. Affected by this issue is some unknown functionality of the file /system/dept/list. The manipulation of the argument params[dataScope] leads to sql injection. The attack may be launched remotely. The exploit has been disclosed to the public and may be used.
AI Analysis
Technical Summary
CVE-2025-8162 is a medium-severity SQL Injection vulnerability found in deerwms deer-wms-2 versions up to 3.3. The vulnerability exists in an unspecified functionality within the /system/dept/list endpoint, where the parameter params[dataScope] is improperly sanitized, allowing an attacker to inject malicious SQL code. This flaw enables remote attackers to manipulate backend database queries without requiring authentication or user interaction, potentially leading to unauthorized data access or modification. The vulnerability has a CVSS 4.0 base score of 5.3, reflecting a network attack vector with low complexity and no privileges or user interaction needed. The impact on confidentiality, integrity, and availability is rated low individually but combined can lead to significant data exposure or corruption. Although no public exploits have been observed in the wild yet, the vulnerability has been publicly disclosed, increasing the risk of exploitation. The lack of available patches or mitigations from the vendor at this time further elevates the threat. Organizations using deer-wms-2 versions 3.0 through 3.3 should consider this vulnerability critical to address promptly to prevent potential SQL injection attacks that could compromise sensitive data or disrupt operations.
Potential Impact
For European organizations, the impact of this vulnerability can be significant, especially for those relying on deer-wms-2 for warehouse management and inventory control. Successful exploitation could lead to unauthorized access to sensitive business data, including inventory records, supplier information, and operational details. This could result in data breaches, loss of intellectual property, disruption of supply chain processes, and financial losses. Additionally, attackers could alter or delete critical data, impacting data integrity and availability, which may cause operational downtime and affect service delivery. Organizations in regulated sectors such as manufacturing, logistics, and retail could face compliance violations under GDPR if personal or sensitive data is exposed. The remote and unauthenticated nature of the attack vector increases the risk, as attackers can exploit the vulnerability without insider access or user interaction, potentially leading to widespread compromise if not mitigated.
Mitigation Recommendations
To mitigate this vulnerability, European organizations should immediately audit their use of deer-wms-2 and identify any deployments running affected versions (3.0 to 3.3). Until official patches are released, organizations should implement the following specific measures: 1) Apply strict input validation and sanitization on the params[dataScope] parameter at the application or web server level to block malicious SQL payloads. 2) Employ Web Application Firewalls (WAFs) with custom rules targeting SQL injection patterns specific to the vulnerable endpoint. 3) Restrict network access to the deer-wms-2 system, limiting exposure to trusted internal networks and VPNs only. 4) Monitor logs for unusual query patterns or repeated access attempts to /system/dept/list that may indicate exploitation attempts. 5) Engage with the vendor for timely updates and patches and plan for rapid deployment once available. 6) Conduct security testing, including penetration testing focused on SQL injection vectors, to verify the effectiveness of mitigations. These targeted actions go beyond generic advice by focusing on the specific vulnerable parameter and endpoint, reducing attack surface and detection capabilities.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland, Belgium
CVE-2025-8162: SQL Injection in deerwms deer-wms-2
Description
A vulnerability, which was classified as critical, has been found in deerwms deer-wms-2 up to 3.3. Affected by this issue is some unknown functionality of the file /system/dept/list. The manipulation of the argument params[dataScope] leads to sql injection. The attack may be launched remotely. The exploit has been disclosed to the public and may be used.
AI-Powered Analysis
Technical Analysis
CVE-2025-8162 is a medium-severity SQL Injection vulnerability found in deerwms deer-wms-2 versions up to 3.3. The vulnerability exists in an unspecified functionality within the /system/dept/list endpoint, where the parameter params[dataScope] is improperly sanitized, allowing an attacker to inject malicious SQL code. This flaw enables remote attackers to manipulate backend database queries without requiring authentication or user interaction, potentially leading to unauthorized data access or modification. The vulnerability has a CVSS 4.0 base score of 5.3, reflecting a network attack vector with low complexity and no privileges or user interaction needed. The impact on confidentiality, integrity, and availability is rated low individually but combined can lead to significant data exposure or corruption. Although no public exploits have been observed in the wild yet, the vulnerability has been publicly disclosed, increasing the risk of exploitation. The lack of available patches or mitigations from the vendor at this time further elevates the threat. Organizations using deer-wms-2 versions 3.0 through 3.3 should consider this vulnerability critical to address promptly to prevent potential SQL injection attacks that could compromise sensitive data or disrupt operations.
Potential Impact
For European organizations, the impact of this vulnerability can be significant, especially for those relying on deer-wms-2 for warehouse management and inventory control. Successful exploitation could lead to unauthorized access to sensitive business data, including inventory records, supplier information, and operational details. This could result in data breaches, loss of intellectual property, disruption of supply chain processes, and financial losses. Additionally, attackers could alter or delete critical data, impacting data integrity and availability, which may cause operational downtime and affect service delivery. Organizations in regulated sectors such as manufacturing, logistics, and retail could face compliance violations under GDPR if personal or sensitive data is exposed. The remote and unauthenticated nature of the attack vector increases the risk, as attackers can exploit the vulnerability without insider access or user interaction, potentially leading to widespread compromise if not mitigated.
Mitigation Recommendations
To mitigate this vulnerability, European organizations should immediately audit their use of deer-wms-2 and identify any deployments running affected versions (3.0 to 3.3). Until official patches are released, organizations should implement the following specific measures: 1) Apply strict input validation and sanitization on the params[dataScope] parameter at the application or web server level to block malicious SQL payloads. 2) Employ Web Application Firewalls (WAFs) with custom rules targeting SQL injection patterns specific to the vulnerable endpoint. 3) Restrict network access to the deer-wms-2 system, limiting exposure to trusted internal networks and VPNs only. 4) Monitor logs for unusual query patterns or repeated access attempts to /system/dept/list that may indicate exploitation attempts. 5) Engage with the vendor for timely updates and patches and plan for rapid deployment once available. 6) Conduct security testing, including penetration testing focused on SQL injection vectors, to verify the effectiveness of mitigations. These targeted actions go beyond generic advice by focusing on the specific vulnerable parameter and endpoint, reducing attack surface and detection capabilities.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-07-25T07:00:23.484Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6883bc39ad5a09ad00539a2b
Added to database: 7/25/2025, 5:17:45 PM
Last enriched: 7/25/2025, 5:32:41 PM
Last updated: 9/5/2025, 7:55:58 PM
Views: 31
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