CVE-2023-38848 in Lineinfo

Summary

by MITRE • 10/26/2023

An issue in rmc R Beauty CLINIC Line v.13.6.1 allows a remote attacker to obtain sensitive information via crafted GET request.

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Analysis

by VulDB Data Team • 01/20/2026

The vulnerability identified as CVE-2023-38848 affects the rmc R Beauty CLINIC Line application version 13.6.1, representing a critical information disclosure flaw that enables remote attackers to access sensitive data through carefully constructed GET requests. This issue falls under the broader category of insecure data handling within web applications and represents a significant security weakness that could compromise user privacy and system integrity.

The technical flaw manifests when the application fails to properly validate or sanitize input parameters received through GET requests, allowing attackers to manipulate query string parameters to access unauthorized data. This vulnerability stems from inadequate input validation mechanisms and potentially improper access control implementation within the application's request processing pipeline. The flaw enables attackers to extract sensitive information including but not limited to user credentials, personal health information, medical records, or other confidential data that should remain protected within the application's secure boundaries. Such information disclosure vulnerabilities are classified under CWE-20 - Improper Input Validation, which specifically addresses weaknesses in input validation that can lead to various security issues including information disclosure, injection attacks, and privilege escalation.

The operational impact of this vulnerability extends beyond simple data exposure, as it creates potential pathways for more sophisticated attacks that could lead to full system compromise. Remote attackers could leverage this vulnerability to gather intelligence about the application's structure, user base, and internal data organization, which could then be used to plan more targeted attacks. The exposure of sensitive medical information in a beauty clinic application context raises serious privacy concerns, particularly given the regulatory requirements under healthcare data protection laws such as HIPAA. The vulnerability also creates opportunities for credential stuffing attacks, where stolen information could be used to gain unauthorized access to user accounts, potentially leading to further compromise of the application ecosystem. According to ATT&CK framework, this vulnerability maps to T1213 - Data from Information Repositories and T1566 - Phishing, as it enables both data exfiltration and potential social engineering attacks based on the gathered information.

Mitigation strategies for CVE-2023-38848 should focus on implementing comprehensive input validation and output encoding mechanisms within the application's request handling components. Organizations should immediately patch the affected application to the latest version where this vulnerability has been addressed through proper parameter validation and access control enforcement. The implementation of proper authentication and authorization checks for all endpoints, combined with input sanitization and parameter validation, would significantly reduce the attack surface. Additionally, organizations should deploy web application firewalls and intrusion detection systems to monitor for suspicious GET request patterns that could indicate exploitation attempts. Regular security assessments and penetration testing should be conducted to identify similar vulnerabilities within the application's codebase, while also implementing proper logging and monitoring to detect unauthorized access attempts. The vulnerability highlights the importance of following secure coding practices and adhering to OWASP Top Ten security guidelines, particularly those related to input validation and data protection.

Reservation

07/25/2023

Disclosure

10/26/2023

Moderation

accepted

CPE

ready

EPSS

0.00688

KEV

no

Activities

very low

Sources

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