CVE-2024-25168 in Snow
Summary
by MITRE • 03/22/2024
SQL injection vulnerability in snow snow v.2.0.0 allows a remote attacker to execute arbitrary code via the dataScope parameter of the system/role/list interface.
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Analysis
by VulDB Data Team • 08/02/2024
The CVE-2024-25168 vulnerability represents a critical sql injection flaw in the snow snow v.2.0.0 application that exposes a remote code execution vector through the system/role/list interface. This vulnerability specifically targets the dataScope parameter, which serves as an entry point for malicious actors to manipulate database queries and potentially gain unauthorized access to the underlying system. The flaw resides in the application's insufficient input validation and sanitization mechanisms, allowing attackers to inject malicious sql payloads that can bypass normal security controls. The vulnerability impacts organizations using this specific version of the snow snow application, creating a significant risk for data integrity and system confidentiality. The attack surface is particularly concerning as it enables remote exploitation without requiring authentication, making it accessible to any attacker with network access to the vulnerable system.
The technical implementation of this vulnerability stems from improper parameter handling within the system/role/list endpoint where the dataScope parameter is directly incorporated into sql queries without adequate sanitization or parameterization. This design flaw aligns with common weakness enumerations such as CWE-89 sql injection, which specifically addresses the improper handling of sql query construction. The vulnerability demonstrates characteristics consistent with CWE-77 and CWE-94, representing both improper neutralization of special elements used in sql commands and execution of externally supplied code. Attackers can leverage this weakness to perform unauthorized database operations including data exfiltration, modification of access controls, or even complete system compromise depending on the database privileges. The lack of proper input validation creates a persistent risk that can be exploited across multiple attack vectors, potentially allowing for privilege escalation and lateral movement within the network infrastructure.
The operational impact of CVE-2024-25168 extends beyond immediate data breaches to encompass broader security implications including potential system compromise, regulatory compliance violations, and business disruption. Organizations utilizing the affected snow snow v.2.0.0 version face significant exposure to data theft, service interruption, and reputational damage. The vulnerability can be exploited through standard network-based attacks, making it particularly dangerous for cloud environments or systems with exposed interfaces. From an attack framework perspective, this vulnerability maps to multiple ATT&CK techniques including T1071.004 application layer protocol and T1213.002 data from information repositories, demonstrating the comprehensive nature of the threat. The remote execution capability means that attackers can operate without physical access or local system privileges, significantly increasing the attack surface and reducing the effectiveness of traditional perimeter-based security controls.
Mitigation strategies for CVE-2024-25168 must address both immediate remediation and long-term security architecture improvements. Organizations should prioritize upgrading to the latest version of snow snow that contains patched sql injection protections and input validation mechanisms. Immediate defensive measures include implementing web application firewalls to filter malicious sql patterns, enforcing strict parameterized queries, and applying input validation rules that reject suspicious data patterns. Security teams should conduct comprehensive vulnerability assessments to identify similar flaws in other application components and establish monitoring protocols for anomalous database access patterns. The implementation of principle of least privilege access controls, database activity monitoring, and regular security testing can help detect and prevent exploitation attempts. Additionally, organizations should consider implementing database-level protections such as query execution restrictions and audit logging to provide visibility into potential exploitation attempts. These measures align with industry best practices for sql injection prevention and support compliance with security standards including pci dss, iso 27001, and nist cybersecurity framework requirements.