CVE-2025-0585 in a+HRD
Summary
by MITRE • 01/20/2025
The a+HRD from aEnrich Technology has a SQL Injection vulnerability, allowing unauthenticated remote attackers to inject arbitrary SQL commands to read, modify, and delete database contents.
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Analysis
by VulDB Data Team • 01/20/2025
The CVE-2025-0585 vulnerability represents a critical SQL injection flaw within the a+HRD software produced by aEnrich Technology, exposing organizations to significant database compromise risks. This vulnerability exists in the application's input validation mechanisms, where user-supplied data is inadequately sanitized before being incorporated into database queries. The flaw allows unauthenticated remote attackers to craft malicious SQL commands that can be executed against the underlying database system, effectively bypassing normal authentication and authorization controls. The vulnerability's impact extends beyond simple data theft, as attackers can manipulate database contents through modification and deletion operations, potentially leading to complete database corruption or unauthorized system access.
The technical nature of this vulnerability aligns with CWE-89, which specifically addresses SQL injection weaknesses in software applications. This classification indicates that the application fails to properly escape or parameterize user inputs before incorporating them into SQL command strings. Attackers can exploit this weakness by injecting malicious SQL payloads through input fields or parameters that are directly processed by the database engine. The vulnerability's remote exploitability means that attackers do not require physical access or legitimate credentials to initiate attacks, making it particularly dangerous for internet-facing applications. The lack of authentication requirements further compounds the risk, as the attack surface remains wide open to any external party capable of reaching the vulnerable system.
The operational impact of CVE-2025-0585 extends far beyond immediate data loss scenarios, as it provides attackers with comprehensive database access capabilities that can be leveraged for prolonged reconnaissance and lateral movement within affected networks. Successful exploitation can result in unauthorized data exfiltration, including sensitive personal information, financial records, or proprietary business data. The ability to modify and delete database contents creates potential for data integrity compromise, system disruption, and denial of service conditions that can severely impact business operations. Organizations utilizing the affected a+HRD software may experience cascading effects as attackers use the compromised database as a foothold for further attacks, potentially leading to complete system compromise or extended data breaches. The vulnerability's persistence across multiple database operations means that even after initial exploitation, attackers can maintain access and continue their activities without detection.
Mitigation strategies for CVE-2025-0585 should prioritize immediate application of vendor patches or updates to address the SQL injection vulnerability. Organizations must implement comprehensive input validation and output encoding mechanisms to prevent malicious SQL commands from being executed against database systems. The principle of least privilege should be enforced by ensuring database accounts used by the application have minimal required permissions and access rights. Network segmentation and firewall rules should be implemented to restrict access to database servers and limit the attack surface. Regular security assessments and penetration testing should be conducted to identify additional vulnerabilities that may exist within the application stack. The implementation of web application firewalls and database activity monitoring systems can provide additional layers of protection and early detection capabilities. Organizations should also establish incident response procedures specifically designed to handle SQL injection attacks, including database backup and recovery protocols to minimize operational impact from potential data compromise events.