CVE-2026-2635
CVE-2026-2635
Weakness (CWE)
CVSS Vector
v3.0- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
MLflow Use of Default Password Authentication Bypass Vulnerability. This vulnerability allows remote attackers to bypass authentication on affected installations of MLflow. Authentication is not required to exploit this vulnerability. The specific flaw exists within the basic_auth.ini file. The file contains hard-coded default credentials. An attacker can leverage this vulnerability to bypass authentication and execute arbitrary code in the context of the administrator. Was ZDI-CAN-28256.
Comprehensive Technical Analysis of CVE-2026-2635
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2026-2635 Description: MLflow Use of Default Password Authentication Bypass Vulnerability CVSS Score: 9.8
The CVSS score of 9.8 indicates that this vulnerability is critical. The high score is due to the ease of exploitation and the severe impact it can have on affected systems. The vulnerability allows remote attackers to bypass authentication mechanisms, potentially leading to unauthorized access and arbitrary code execution with administrative privileges.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Remote Exploitation: Attackers can exploit this vulnerability over the network without requiring physical access to the system.
- Default Credentials: The use of hard-coded default credentials in the
basic_auth.inifile makes it trivial for attackers to bypass authentication.
Exploitation Methods:
- Credential Guessing: Attackers can use the known default credentials to gain unauthorized access.
- Automated Scripts: Attackers can write scripts to automate the process of exploiting this vulnerability across multiple installations.
- Code Execution: Once authenticated, attackers can execute arbitrary code with administrative privileges, leading to complete system compromise.
3. Affected Systems and Software Versions
Affected Software:
- MLflow versions that include the
basic_auth.inifile with hard-coded default credentials.
Affected Systems:
- Any system running the vulnerable versions of MLflow, including but not limited to:
- Development and production environments
- Cloud-based deployments
- On-premises installations
4. Recommended Mitigation Strategies
Immediate Actions:
- Patch Management: Apply the latest patches and updates provided by MLflow to address this vulnerability.
- Credential Management: Change the default credentials in the
basic_auth.inifile to strong, unique passwords. - Access Controls: Implement additional layers of authentication and access controls, such as multi-factor authentication (MFA).
Long-Term Strategies:
- Regular Audits: Conduct regular security audits to identify and mitigate similar vulnerabilities.
- Security Training: Educate developers and administrators on the risks of using default credentials and the importance of secure coding practices.
- Monitoring and Logging: Implement robust monitoring and logging mechanisms to detect and respond to unauthorized access attempts.
5. Impact on Cybersecurity Landscape
The discovery of this vulnerability highlights the ongoing challenge of securing default configurations and the importance of regular security assessments. It underscores the need for:
- Proactive Patch Management: Ensuring that systems are regularly updated to mitigate known vulnerabilities.
- Secure Coding Practices: Avoiding the use of hard-coded credentials and adopting secure coding standards.
- Incident Response: Having a well-defined incident response plan to quickly address and mitigate vulnerabilities when they are discovered.
6. Technical Details for Security Professionals
Vulnerability Details:
- Location: The vulnerability resides in the
basic_auth.inifile, which contains hard-coded default credentials. - Exploitation: Attackers can use these default credentials to bypass authentication and gain administrative access.
Detection Methods:
- File Integrity Monitoring: Monitor the
basic_auth.inifile for unauthorized changes. - Network Traffic Analysis: Look for unusual authentication attempts or patterns indicative of credential guessing.
- Log Analysis: Review authentication logs for successful logins using default credentials.
Mitigation Steps:
- Update Configuration: Modify the
basic_auth.inifile to use strong, unique credentials. - Implement MFA: Add an additional layer of security by requiring multi-factor authentication.
- Regular Updates: Ensure that all MLflow installations are updated to the latest version that addresses this vulnerability.
References:
By addressing this vulnerability promptly and implementing robust security practices, organizations can significantly reduce the risk of unauthorized access and potential system compromise.