Description
An authentication bypass vulnerability exists in Control iD iDSecure v4.7.32.0. The login routine used by iDS-Core.dll contains a "passwordCustom" option that allows an unauthenticated attacker to compute valid credentials that can be used to bypass authentication and act as an administrative user.
EPSS Score:
75%
Comprehensive Technical Analysis of EUVD-2023-58571
1. Vulnerability Assessment and Severity Evaluation
The vulnerability EUVD-2023-58571, also known as CVE-2023-6329, is an authentication bypass issue in Control iD iDSecure v4.7.32.0. The vulnerability allows an unauthenticated attacker to compute valid credentials and gain administrative access. 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:
- AV:N (Attack Vector: Network): The vulnerability is exploitable over the network.
- AC:L (Attack Complexity: Low): The attack requires minimal skill or resources.
- PR:N (Privileges Required: None): No prior authentication is needed.
- UI:N (User Interaction: None): No user interaction is required.
- S:U (Scope: Unchanged): The vulnerability does not change the security scope.
- C:H (Confidentiality: High): Complete loss of confidentiality.
- I:H (Integrity: High): Complete loss of integrity.
- A:H (Availability: High): Complete loss of availability.
The EPSS (Exploit Prediction Scoring System) score of 75 suggests a high likelihood of exploitation in the wild.
2. Potential Attack Vectors and Exploitation Methods
The primary attack vector is through network access to the iDSecure system. An attacker can exploit the "passwordCustom" option in the login routine of iDS-Core.dll to compute valid credentials. This can be achieved by:
- Network Scanning: Identifying systems running iDSecure v4.7.32.0.
- Credential Computation: Using the "passwordCustom" option to generate valid administrative credentials.
- Authentication Bypass: Logging in with the computed credentials to gain administrative access.
Potential exploitation methods include:
- Automated Scripts: Writing scripts to automate the credential computation and login process.
- Man-in-the-Middle Attacks: Intercepting network traffic to identify and exploit the vulnerability.
- Phishing: Tricking users into providing network access or other necessary information.
3. Affected Systems and Software Versions
The vulnerability specifically affects Control iD iDSecure version 4.7.32.0. Other versions of iDSecure may also be vulnerable if they share the same login routine and "passwordCustom" option. Organizations using iDSecure for identity and access management are at risk.
4. Recommended Mitigation Strategies
To mitigate the risk associated with this vulnerability, the following strategies are recommended:
- Patch Management: Immediately apply any available patches or updates from Control iD.
- Network Segmentation: Isolate iDSecure systems from public networks to limit exposure.
- Access Controls: Implement strict access controls and monitor for unauthorized access attempts.
- Intrusion Detection: Deploy intrusion detection systems (IDS) to monitor for suspicious activity.
- Credential Management: Regularly rotate credentials and use multi-factor authentication (MFA).
- User Training: Educate users on phishing and social engineering tactics to prevent unauthorized access.
5. Impact on European Cybersecurity Landscape
The vulnerability poses a significant risk to European organizations relying on iDSecure for identity and access management. The potential for unauthorized administrative access can lead to data breaches, loss of sensitive information, and disruption of critical services. This underscores the need for robust cybersecurity measures and continuous monitoring of identity management systems.
6. Technical Details for Security Professionals
Vulnerability Details:
- Component: iDS-Core.dll
- Function: Login routine with "passwordCustom" option
- Exploit: Computation of valid credentials for authentication bypass
Detection and Response:
- Log Analysis: Monitor login attempts and look for unusual patterns or repeated failed attempts.
- Anomaly Detection: Use machine learning algorithms to detect anomalous behavior.
- Incident Response: Have a predefined incident response plan to quickly address any detected exploitation attempts.
References:
- Tenable Research: https://tenable.com/security/research/tra-2023-36
- ENISA ID: Product ID: 2c46b648-9479-3c00-8e5c-93bfefbf9c15, Vendor ID: 3fc00bb0-868d-3b4c-ba6f-5e6ed0ecc2b8
By addressing this vulnerability promptly and implementing the recommended mitigation strategies, organizations can significantly reduce the risk of unauthorized access and potential data breaches.