A critical vulnerability exists in the `pymatgen` library, specifically within the `JonesFaithfulTransformation.from_transformation_str()` method. This method insecurely utilizes `eval()` for processing input, which can lead to the execution of arbitrary code when parsing untrusted input. The vulnerability affects all versions prior to 2024.2.20, which includes a fix for this issue.
With a CVSS score of 9.3, this vulnerability is classified as critical, emphasizing the severity of the threat posed to organizations using the library. The potential for remote code execution can have significant implications, making this an urgent concern for defenders.
Organizations should prioritize patching immediately to address this vulnerability. Implementing the update to version 2024.2.20 will mitigate the risk associated with this flaw, preventing potential exploitation.
Given the nature of this vulnerability, attackers may leverage it to gain unauthorized control over systems utilizing the affected library. Therefore, understanding and addressing this issue is critical for maintaining security in environments that rely on the `pymatgen` library.
Vulnerability Details
The `pymatgen` library, particularly its `JonesFaithfulTransformation.from_transformation_str()` method, has a critical security vulnerability due to the insecure use of the `eval()` function. This flaw allows for arbitrary code execution when untrusted input is processed.
The vulnerability is classified under CWE-77, indicating improper neutralization of special elements used in a command ('command injection'). It was published on February 21, 2024, and affects all versions of the library prior to the fix in version 2024.2.20.
Technical Analysis
The root cause of this vulnerability stems from the use of the `eval()` function within the `from_transformation_str()` method. This method is intended to interpret transformation strings but fails to adequately validate the input, allowing attackers to execute arbitrary code.
The attack vector is local (AV:L), meaning that an attacker must have access to the system where the library is used. The attack complexity is low (AC:L), with no privileges required (PR:N) and no user interaction necessary (UI:N). The vulnerability impacts the confidentiality, integrity, and availability of the system, all rated as high (C:H, I:H, A:H).
Risk & Impact Analysis
The potential risk to organizations includes unauthorized access and control over systems using the `pymatgen` library. Given the critical nature of this vulnerability, the blast radius could be extensive, especially in environments where sensitive data is processed.
Organizations should assess their current use of the `pymatgen` library and prioritize remediation based on the impact severity. The urgency for addressing this vulnerability is critical, given its high CVSS score and the potential for exploitation.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | Yes |
Public PoC | Yes |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
This vulnerability affects all versions of `pymatgen` prior to version 2024.2.20. Organizations should ensure they upgrade to this version or later to mitigate the risk.
Mitigation & Remediation
Organizations should update their `pymatgen` library to version 2024.2.20 or later to mitigate this vulnerability. If immediate patching is not possible, organizations should consider implementing workarounds by restricting the use of the affected methods and ensuring additional validation of inputs.
Furthermore, organizations should implement network controls to limit access to trusted sources only, while monitoring for unusual activities that may indicate exploitation attempts. For comprehensive security assessments, organizations may consider engaging in penetration testing to validate their security posture.
Detection Guidance
To detect potential exploitation of this vulnerability, organizations should monitor logs for unusual command executions, especially those involving the `eval()` function. Additionally, behavioral anomalies in application performance should be analyzed, along with network signatures related to unauthorized access attempts.
AppSecure Threat Intelligence Insight
The discovery of this vulnerability highlights the importance of secure coding practices, particularly in libraries that process user inputs. Organizations must prioritize security assessments and code reviews to identify similar weaknesses in their systems.
Moreover, this incident serves as a reminder of the potential risks associated with the use of dynamic execution functions like `eval()`. As part of a broader security strategy, organizations should also consider implementing penetration testing methodologies to proactively identify and address similar vulnerabilities.
Lastly, reinforcing secure coding standards and fostering a culture of security awareness among developers will be crucial in preventing similar vulnerabilities from arising in the future.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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