CVE-2024-23346
CVE-2024-23346
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Local
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Changed
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
Pymatgen (Python Materials Genomics) is an open-source Python library for materials analysis. A critical security vulnerability exists in the `JonesFaithfulTransformation.from_transformation_str()` method within the `pymatgen` library prior to version 2024.2.20. This method insecurely utilizes `eval()` for processing input, enabling execution of arbitrary code when parsing untrusted input. Version 2024.2.20 fixes this issue.
Comprehensive Technical Analysis of CVE-2024-23346
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-23346 CVSS Score: 9.3
The vulnerability in the JonesFaithfulTransformation.from_transformation_str() method within the pymatgen library prior to version 2024.2.20 is classified as critical. The use of eval() for processing input allows for the execution of arbitrary code, which can be exploited by attackers to gain unauthorized access or control over the system. The high CVSS score of 9.3 indicates a severe risk, emphasizing the need for immediate attention and remediation.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Untrusted Input: An attacker can craft malicious input strings that, when processed by the vulnerable method, execute arbitrary code.
- Supply Chain Attacks: If the
pymatgenlibrary is used in a larger application, an attacker could exploit this vulnerability to compromise the entire application stack.
Exploitation Methods:
- Code Injection: By injecting malicious code into the input string, an attacker can execute commands on the host system.
- Privilege Escalation: If the application runs with elevated privileges, the attacker can gain higher-level access to the system.
3. Affected Systems and Software Versions
Affected Software:
- Pymatgen library versions prior to 2024.2.20
Affected Systems:
- Any system or application that utilizes the vulnerable versions of the
pymatgenlibrary, particularly those that process untrusted input through theJonesFaithfulTransformation.from_transformation_str()method.
4. Recommended Mitigation Strategies
Immediate Actions:
- Update to the Latest Version: Upgrade to
pymatgenversion 2024.2.20 or later, which includes the fix for this vulnerability. - Input Validation: Implement strict input validation and sanitization to prevent the execution of arbitrary code.
- Least Privilege Principle: Ensure that applications using the
pymatgenlibrary run with the minimum necessary privileges.
Long-Term Strategies:
- Code Review: Conduct thorough code reviews to identify and mitigate similar vulnerabilities.
- Security Training: Educate developers on the risks associated with using
eval()and other unsafe functions. - Regular Updates: Maintain a regular update schedule for all dependencies and libraries to ensure timely patching of vulnerabilities.
5. Impact on Cybersecurity Landscape
The discovery of this vulnerability highlights the importance of secure coding practices and the risks associated with using dynamic code execution functions like eval(). It underscores the need for continuous monitoring and updating of open-source libraries, which are often integrated into critical applications. The high CVSS score indicates that such vulnerabilities can have severe consequences, including data breaches, system compromises, and loss of trust in the affected software.
6. Technical Details for Security Professionals
Vulnerable Code:
def from_transformation_str(transformation_str):
return eval(transformation_str)
Fixed Code:
def from_transformation_str(transformation_str):
# Safe parsing logic without using eval()
# Example: using a safe parser or predefined transformation mappings
pass
References:
- Patch Commit: GitHub Commit
- Vendor Advisory: GHSA-vgv8-5cpj-qj2f
- Third Party Advisory: Vicarius.io
Conclusion:
The CVE-2024-23346 vulnerability in the pymatgen library is a critical issue that requires immediate attention. By updating to the latest version and implementing robust security practices, organizations can mitigate the risk of exploitation. This incident serves as a reminder of the importance of secure coding practices and the need for continuous vigilance in the cybersecurity landscape.