Description
RemoteClinic 2.0 is vulnerable to a time-based blind SQL injection attack in the 'start' GET parameter of patients/index.php.
EPSS Score:
1%
Comprehensive Technical Analysis of EUVD-2023-37644
1. Vulnerability Assessment and Severity Evaluation
Vulnerability Description:
The EUVD entry EUVD-2023-37644 describes a time-based blind SQL injection vulnerability in the 'start' GET parameter of the patients/index.php script in RemoteClinic 2.0. This vulnerability allows an attacker to execute arbitrary SQL queries by manipulating the input parameter, potentially leading to unauthorized access to the database.
Severity Evaluation:
The CVSS (Common Vulnerability Scoring System) base score of 9.8 indicates a critical severity level. The scoring vector CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H breaks down as follows:
- Attack Vector (AV): Network (N) - The vulnerability is exploitable over the network.
- Attack Complexity (AC): Low (L) - The attack requires minimal skill or resources.
- Privileges Required (PR): None (N) - No special privileges are needed to exploit the vulnerability.
- User Interaction (UI): None (N) - No user interaction is required.
- Scope (S): Unchanged (U) - The vulnerability does not affect other security scopes.
- Confidentiality (C): High (H) - There is a high impact on the confidentiality of the data.
- Integrity (I): High (H) - There is a high impact on the integrity of the data.
- Availability (A): High (H) - There is a high impact on the availability of the system.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Time-Based Blind SQL Injection: An attacker can inject SQL queries that cause a delay in the database response, allowing them to infer information about the database structure and contents.
- Automated Tools: Attackers may use automated tools to exploit the vulnerability, making it easier to extract data systematically.
Exploitation Methods:
- Crafting Malicious Queries: Attackers can craft SQL queries that include time-based delays (e.g.,
SLEEP()function) to determine the structure of the database. - Data Exfiltration: Once the database structure is known, attackers can exfiltrate sensitive data such as patient records, user credentials, and other confidential information.
3. Affected Systems and Software Versions
Affected Systems:
- RemoteClinic 2.0
Software Versions:
- The vulnerability specifically affects version 2.0 of RemoteClinic.
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Input Validation: Implement strict input validation and sanitization for all user inputs, especially the 'start' GET parameter.
- Parameterized Queries: Use parameterized queries or prepared statements to prevent SQL injection attacks.
- Web Application Firewall (WAF): Deploy a WAF to detect and block malicious SQL injection attempts.
Long-Term Mitigation:
- Patch Management: Ensure that RemoteClinic 2.0 is updated to the latest version that addresses this vulnerability.
- Regular Audits: Conduct regular security audits and vulnerability assessments to identify and mitigate similar issues.
- Security Training: Provide training for developers and administrators on secure coding practices and SQL injection prevention techniques.
5. Impact on European Cybersecurity Landscape
Impact Analysis:
- Healthcare Sector: The vulnerability poses a significant risk to the healthcare sector, where patient data confidentiality and integrity are critical.
- Regulatory Compliance: Organizations must comply with regulations such as GDPR, which mandate stringent data protection measures. Non-compliance can result in hefty fines and legal consequences.
- Public Trust: Breaches resulting from this vulnerability can erode public trust in healthcare providers and digital health services.
6. Technical Details for Security Professionals
Technical Insights:
- Detection: Security professionals can detect time-based blind SQL injection attempts by monitoring for unusual delays in database responses and analyzing web server logs for suspicious GET parameter values.
- Response: Incident response teams should be prepared to isolate affected systems, contain the breach, and conduct forensic analysis to determine the extent of the compromise.
- Prevention: Implementing a comprehensive security strategy that includes regular patching, input validation, and the use of secure coding practices can significantly reduce the risk of SQL injection attacks.
References:
- GitHub Issue: RemoteClinic Issue #25
- Aliases: CVE-2023-33481, GSD-2023-33481
By addressing this vulnerability promptly and effectively, organizations can protect sensitive data and maintain the trust of their users and stakeholders.