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CVE-2025-50383: n/a

High
VulnerabilityCVE-2025-50383cvecve-2025-50383
Published: Mon Aug 25 2025 (08/25/2025, 00:00:00 UTC)
Source: CVE Database V5

Description

alextselegidis Easy!Appointments v1.5.1 was discovered to contain a SQL injection vulnerability via the order_by parameter.

AI-Powered Analysis

AILast updated: 08/25/2025, 18:17:53 UTC

Technical Analysis

CVE-2025-50383 is a SQL injection vulnerability identified in Easy!Appointments version 1.5.1, an open-source appointment scheduling system. The vulnerability arises from improper sanitization of the 'order_by' parameter, which is used to specify sorting criteria in database queries. An attacker can exploit this flaw by injecting malicious SQL code through the 'order_by' parameter, potentially manipulating the backend database query. This can lead to unauthorized data access, data modification, or even complete compromise of the database. Since the vulnerability is in a parameter controlling query ordering, it may allow attackers to bypass intended query constraints or extract sensitive information. The lack of a CVSS score and absence of known exploits in the wild suggest this is a recently disclosed issue. However, the nature of SQL injection vulnerabilities inherently poses a significant risk due to their potential to impact confidentiality, integrity, and availability of data. Easy!Appointments is commonly used by small to medium-sized businesses and organizations to manage client appointments, making the data stored within it potentially sensitive, including personal client information and scheduling details. The vulnerability requires the attacker to interact with the application by supplying crafted input but does not explicitly require authentication, which increases the attack surface. No official patches or mitigations have been linked yet, indicating that affected users should prioritize risk assessment and implement defensive controls promptly.

Potential Impact

For European organizations using Easy!Appointments, this vulnerability could lead to unauthorized disclosure of personal data, violating GDPR requirements and resulting in regulatory penalties. The compromise of appointment data could disrupt business operations, damage client trust, and expose sensitive scheduling information. If exploited, attackers might alter or delete appointment records, impacting service delivery and operational continuity. Given the widespread use of appointment scheduling systems across sectors such as healthcare, legal services, and consulting in Europe, the impact could be significant, especially for organizations handling sensitive or regulated data. Additionally, exploitation could serve as a foothold for further network intrusion or lateral movement within an organization's IT environment. The absence of known exploits currently reduces immediate risk but does not eliminate the threat, as attackers may develop exploits rapidly following public disclosure.

Mitigation Recommendations

European organizations should immediately audit their use of Easy!Appointments to identify affected instances. Until an official patch is released, organizations should implement input validation and sanitization at the application or web server level to filter or block malicious input in the 'order_by' parameter. Employing Web Application Firewalls (WAFs) with rules targeting SQL injection patterns can provide a protective barrier. Restrict database user permissions to the minimum necessary to limit the impact of a successful injection. Regularly monitor application logs for suspicious query patterns or errors indicative of injection attempts. Organizations should also consider isolating the application environment and enforcing strict network segmentation to contain potential breaches. Finally, maintain up-to-date backups of appointment data to enable recovery in case of data tampering or loss.

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Technical Details

Data Version
5.1
Assigner Short Name
mitre
Date Reserved
2025-06-16T00:00:00.000Z
Cvss Version
null
State
PUBLISHED

Threat ID: 68aca540ad5a09ad004e4a3e

Added to database: 8/25/2025, 6:02:40 PM

Last enriched: 8/25/2025, 6:17:53 PM

Last updated: 8/25/2025, 6:17:53 PM

Views: 2

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