CVE-2024-41961
CVE-2024-41961
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- Low
- User Interaction
- None
- Scope
- Changed
- Confidentiality
- High
- Integrity
- None
- Availability
- High
Description
Elektra is an opinionated Openstack Dashboard for Operators and Consumers of Openstack Services. A code injection vulnerability was found in the live search functionality of the Ruby on Rails based Elektra web application. An authenticated user can craft a search term containing Ruby code, which later flows into an `eval` sink which executes the code. Fixed in commit 8bce00be93b95a6512ff68fe86bf9554e486bc02.
Comprehensive Technical Analysis of CVE-2024-41961
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-41961
Description:
Elektra, an opinionated OpenStack Dashboard for operators and consumers of OpenStack services, contains a code injection vulnerability in its live search functionality. This vulnerability allows an authenticated user to inject Ruby code into the search term, which is then executed by an eval sink.
CVSS Score: 9.6
Severity Evaluation: The CVSS score of 9.6 indicates a critical vulnerability. This high score is due to the potential for complete system compromise through code execution, which can lead to data breaches, unauthorized access, and other severe impacts.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Authenticated User Exploitation: An authenticated user with access to the live search functionality can craft a search term containing malicious Ruby code.
- Internal Threats: Insider threats where authenticated users with malicious intent can exploit the vulnerability.
- Compromised Accounts: If an attacker gains access to a legitimate user's credentials, they can exploit this vulnerability.
Exploitation Methods:
- Code Injection: The attacker injects Ruby code into the search term, which is then executed by the
evalfunction. - Remote Code Execution (RCE): The injected code can perform various malicious actions, including data exfiltration, system command execution, and further exploitation of the system.
3. Affected Systems and Software Versions
Affected Systems:
- Elektra web application versions prior to the fix commit
8bce00be93b95a6512ff68fe86bf9554e486bc02.
Software Versions:
- All versions of Elektra that do not include the fix commit are vulnerable.
4. Recommended Mitigation Strategies
Immediate Actions:
- Patching: Apply the fix commit
8bce00be93b95a6512ff68fe86bf9554e486bc02to the Elektra web application. - Access Control: Restrict access to the live search functionality to trusted users only.
- Monitoring: Implement monitoring and logging for unusual activities related to the live search functionality.
Long-Term Strategies:
- Code Review: Conduct a thorough code review to identify and mitigate similar vulnerabilities.
- Input Validation: Enhance input validation and sanitization mechanisms to prevent code injection.
- Security Training: Provide security training for developers to avoid using dangerous functions like
eval.
5. Impact on Cybersecurity Landscape
Broader Implications:
- OpenStack Ecosystem: This vulnerability highlights the potential risks in OpenStack-based solutions, emphasizing the need for robust security practices.
- Web Application Security: It underscores the importance of secure coding practices, especially in web applications that handle user input.
- Supply Chain Security: Organizations relying on third-party software like Elektra need to ensure that their suppliers maintain high security standards.
6. Technical Details for Security Professionals
Vulnerability Details:
- Vulnerable Component: The live search functionality in the Elektra web application.
- Exploitation Mechanism: The search term is passed to an
evalfunction, which executes the injected Ruby code. - Fix Commit: The vulnerability is fixed in commit
8bce00be93b95a6512ff68fe86bf9554e486bc02, which likely removes or sanitizes the use ofeval.
Detection and Response:
- Detection: Implement intrusion detection systems (IDS) to monitor for unusual patterns in search queries.
- Response: Develop an incident response plan that includes steps for identifying and mitigating code injection attacks.
References:
- GitHub Commit 49aea3b365082681558bf3bf7bf4a51766cfc44d
- GitHub Commit 8bce00be93b95a6512ff68fe86bf9554e486bc02
- GitHub Security Advisory GHSA-6j2h-486h-487q
By addressing this vulnerability promptly and comprehensively, organizations can significantly reduce the risk of exploitation and maintain the integrity and security of their OpenStack environments.