CVE-2024-5182
CVE-2024-5182
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- None
- Integrity
- High
- Availability
- High
Description
A path traversal vulnerability exists in mudler/localai version 2.14.0, where an attacker can exploit the `model` parameter during the model deletion process to delete arbitrary files. Specifically, by crafting a request with a manipulated `model` parameter, an attacker can traverse the directory structure and target files outside of the intended directory, leading to the deletion of sensitive data. This vulnerability is due to insufficient input validation and sanitization of the `model` parameter.
Comprehensive Technical Analysis of CVE-2024-5182
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-5182
Description:
A path traversal vulnerability exists in mudler/localai version 2.14.0, allowing an attacker to exploit the model parameter during the model deletion process to delete arbitrary files. This vulnerability arises from insufficient input validation and sanitization of the model parameter, enabling directory traversal attacks.
CVSS Score: 9.1
Severity Evaluation: The CVSS score of 9.1 indicates a critical vulnerability. This high score is due to the potential for significant data loss, including sensitive information, and the ease with which an attacker can exploit the vulnerability.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Directory Traversal: An attacker can manipulate the
modelparameter to traverse directories and access files outside the intended directory. - Arbitrary File Deletion: By crafting a specific request, an attacker can delete critical system files, configuration files, or other sensitive data.
Exploitation Methods:
- Crafted HTTP Requests: An attacker can send specially crafted HTTP requests with manipulated
modelparameters to exploit the vulnerability. - Automated Scripts: Attackers may use automated scripts to scan for vulnerable systems and exploit the vulnerability en masse.
3. Affected Systems and Software Versions
Affected Software:
mudler/localaiversion 2.14.0
Affected Systems:
- Any system running
mudler/localaiversion 2.14.0, including servers, cloud instances, and local deployments.
4. Recommended Mitigation Strategies
Immediate Actions:
- Update Software: Upgrade to the latest version of
mudler/localaithat includes the patch for this vulnerability. - Input Validation: Implement strict input validation and sanitization for the
modelparameter to prevent directory traversal. - Access Controls: Restrict access to the model deletion functionality to authorized users only.
Long-Term Strategies:
- Regular Audits: Conduct regular security audits and code reviews to identify and mitigate similar vulnerabilities.
- Security Training: Provide training for developers on secure coding practices and input validation techniques.
- Monitoring: Implement monitoring and logging to detect and respond to suspicious activities related to model deletion requests.
5. Impact on Cybersecurity Landscape
Immediate Impact:
- Data Loss: Organizations may experience significant data loss, including sensitive information, if the vulnerability is exploited.
- Service Disruption: Deletion of critical files can lead to service disruptions and downtime.
Long-Term Impact:
- Reputation Damage: Organizations may suffer reputational damage if sensitive data is compromised.
- Increased Awareness: This vulnerability highlights the importance of input validation and sanitization, leading to increased awareness and better security practices.
6. Technical Details for Security Professionals
Vulnerability Details:
- Root Cause: Insufficient input validation and sanitization of the
modelparameter. - Exploitation: An attacker can manipulate the
modelparameter to include directory traversal sequences (e.g.,../../), allowing access to files outside the intended directory.
Patch Information:
- Patch Commit: GitHub Commit
- Issue Tracking: Huntr Bounty
Recommended Actions:
- Code Review: Conduct a thorough code review to ensure all input parameters are properly validated and sanitized.
- Security Testing: Perform penetration testing and vulnerability assessments to identify and mitigate similar issues.
- Incident Response: Develop and implement an incident response plan to quickly detect and respond to any exploitation attempts.
Conclusion
CVE-2024-5182 is a critical path traversal vulnerability in mudler/localai version 2.14.0 that can lead to arbitrary file deletion and significant data loss. Organizations should prioritize updating to the patched version and implementing robust input validation and sanitization practices to mitigate this vulnerability. Regular security audits and training can help prevent similar issues in the future.