CVE-2025-8124 is a medium-severity SQL Injection vulnerability found in the deerwms deer-wms-2 software versions 3.0 through 3.3. The vulnerability resides in an unspecified functionality within the file path /system/role/authUser/unallocatedList. Specifically, the issue arises from improper sanitization of the parameter params[dataScope], which can be manipulated by an attacker to inject malicious SQL code. This injection flaw allows an unauthenticated remote attacker to execute arbitrary SQL commands on the backend database without requiring user interaction or elevated privileges. The vulnerability has a CVSS 4.0 base score of 5.3, reflecting its medium severity, with attack vector being network-based (AV:N), low attack complexity (AC:L), no privileges required (PR:L), and no user interaction needed (UI:N). The impact on confidentiality, integrity, and availability is low, indicating limited but non-negligible potential damage. Although no public exploits are currently known to be actively used in the wild, the exploit details have been disclosed publicly, increasing the risk of exploitation. The vulnerability could allow attackers to retrieve sensitive data, modify database contents, or disrupt application functionality depending on the underlying database permissions and schema. Since deer-wms-2 is a warehouse management system, exploitation could lead to unauthorized access to inventory data, user roles, or operational workflows, potentially disrupting supply chain and logistics operations.

For European organizations utilizing deer-wms-2, this vulnerability poses a risk to the confidentiality and integrity of warehouse management data. Successful exploitation could lead to unauthorized disclosure of sensitive inventory and operational data, manipulation of role assignments, or disruption of warehouse processes. This may result in financial losses, operational downtime, and reputational damage. Given the remote attack vector and no requirement for user interaction, attackers could automate exploitation attempts, increasing risk exposure. Organizations in sectors heavily reliant on supply chain efficiency, such as manufacturing, retail, and logistics, could experience significant operational impact. Additionally, compromised warehouse management systems could serve as pivot points for broader network intrusion, especially if integrated with other enterprise resource planning (ERP) systems. The medium severity indicates that while the vulnerability is not critical, it warrants timely remediation to prevent escalation or chaining with other vulnerabilities.

1. Immediate application of vendor patches or updates when available is the most effective mitigation. Since no patch links are currently provided, organizations should monitor vendor advisories closely. 2. Implement strict input validation and parameter sanitization on all user-supplied data, particularly the params[dataScope] parameter, to prevent injection of malicious SQL code. 3. Employ Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection patterns targeting the vulnerable endpoint. 4. Restrict database user privileges used by deer-wms-2 to the minimum necessary, following the principle of least privilege, to limit potential damage from SQL injection. 5. Conduct regular security assessments and code reviews focusing on input handling in the affected modules. 6. Monitor logs for unusual database queries or access patterns indicative of exploitation attempts. 7. Segment the warehouse management system network from critical enterprise systems to contain potential breaches. 8. Educate IT and security teams about this vulnerability and ensure incident response plans include scenarios involving SQL injection attacks on warehouse management systems.