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CVE-2025-15450: SQL Injection in sfturing hosp_order

0
Medium
VulnerabilityCVE-2025-15450cvecve-2025-15450
Published: Mon Jan 05 2026 (01/05/2026, 01:02:07 UTC)
Source: CVE Database V5
Vendor/Project: sfturing
Product: hosp_order

Description

A vulnerability was identified in sfturing hosp_order up to 627f426331da8086ce8fff2017d65b1ddef384f8. Affected by this vulnerability is the function findOrderHosNum of the file /ssm_pro/orderHos/. Such manipulation of the argument hospitalAddress/hospitalName leads to sql injection. The attack can be launched remotely. The exploit is publicly available and might be used. This product does not use versioning. This is why information about affected and unaffected releases are unavailable. The vendor was contacted early about this disclosure but did not respond in any way.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 02/23/2026, 23:05:23 UTC

Technical Analysis

CVE-2025-15450 is a SQL injection vulnerability found in the sfturing hosp_order software, affecting the findOrderHosNum function located in the /ssm_pro/orderHos/ directory. The vulnerability stems from insufficient input validation and sanitization of the hospitalAddress and hospitalName parameters, which are used directly in SQL queries. This flaw allows remote attackers to craft malicious input that alters the intended SQL commands, potentially enabling unauthorized data retrieval, modification, or deletion within the underlying database. The vulnerability can be exploited remotely without requiring authentication or user interaction, increasing its risk profile. The product does not implement versioning, making it difficult to determine which specific builds are affected, though the identified affected commit hash is 627f426331da8086ce8fff2017d65b1ddef384f8. The vendor was notified but has not responded or released patches, leaving users exposed. The CVSS 4.0 base score of 5.3 reflects a medium severity, considering the attack vector is network-based with low attack complexity, no privileges required, and no user interaction needed. The impact on confidentiality, integrity, and availability is limited but present, as the vulnerability could allow attackers to access or manipulate sensitive hospital order data. No known active exploitation has been reported, but public exploit code is available, increasing the likelihood of future attacks. Organizations relying on this software should urgently assess their exposure and implement mitigations.

Potential Impact

The SQL injection vulnerability in sfturing hosp_order can lead to unauthorized access and manipulation of sensitive hospital order data, potentially exposing patient information, disrupting hospital operations, and undermining data integrity. Attackers could extract confidential data, modify or delete records, or execute arbitrary SQL commands, which may result in data breaches, loss of trust, and regulatory non-compliance, especially in healthcare environments subject to strict data protection laws. The remote exploitability without authentication increases the risk of widespread attacks, particularly if the software is exposed to the internet or accessible within insecure networks. The lack of vendor response and absence of patches exacerbate the threat, leaving organizations vulnerable to exploitation. While no active exploitation is currently known, the availability of public exploit code lowers the barrier for attackers to launch successful attacks. The impact extends to operational disruption, potential financial losses, and reputational damage for healthcare providers using this product.

Mitigation Recommendations

Given the absence of vendor patches, organizations should implement immediate compensating controls. First, restrict network access to the hosp_order application by implementing strict firewall rules and network segmentation to limit exposure to trusted internal networks only. Employ Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection patterns targeting hospitalAddress and hospitalName parameters. Conduct thorough input validation and sanitization at the application layer, if possible, by applying parameterized queries or prepared statements to prevent injection. Monitor application logs for suspicious query patterns or anomalies indicative of injection attempts. If feasible, perform code review and patch the vulnerable function internally to enforce proper input handling. Regularly back up databases and implement robust incident response plans to quickly recover from potential compromises. Finally, maintain heightened vigilance for emerging exploits and consider migrating to alternative, actively supported software solutions if vendor support remains absent.

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Technical Details

Data Version
5.2
Assigner Short Name
VulDB
Date Reserved
2026-01-04T08:42:29.942Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 695b13fadb813ff03efd5859

Added to database: 1/5/2026, 1:29:30 AM

Last enriched: 2/23/2026, 11:05:23 PM

Last updated: 3/25/2026, 8:56:33 AM

Views: 64

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