CVE-2021-4118 is a high-severity vulnerability affecting LightningAI's PyTorch Lightning, classified as a deserialization of untrusted data issue. With a CVSS score of 7.8, this vulnerability presents significant risks to users, primarily due to its potential for unauthorized access and data manipulation. The vulnerability requires local access and user interaction, making it imperative for organizations to address it promptly.
Published on December 23, 2021, this vulnerability has been modified recently, indicating ongoing attention from the security community. The attack vector is local, and the impact on confidentiality, integrity, and availability is deemed high. Organizations using affected versions of PyTorch Lightning must act swiftly to mitigate risks associated with this vulnerability.
Risk to organizations includes potential unauthorized access to sensitive data and system integrity issues. Given its high CVSS score, organizations should prioritize patching immediately.
The vulnerability has known exploitation status, with evidence of public proof-of-concept (PoC) available on GitHub. This further underscores the urgency for organizations to address this vulnerability within their security posture.
Vulnerability Details
The vulnerability allows deserialization of untrusted data, which can be exploited by attackers to manipulate data or execute arbitrary code. The CVSS score of 7.8 indicates a high severity level, emphasizing the need for immediate remediation. The affected product is PyTorch Lightning, developed by LightningAI, with the last modification to the vulnerability record on November 21, 2024.
This vulnerability is classified under CWE-502, indicating a critical issue regarding the handling of untrusted data. The local attack vector, combined with low attack complexity and the requirement for user interaction, highlights the risks associated with this vulnerability.
Technical Analysis
The root cause of CVE-2021-4118 stems from inadequate validation of user inputs during the deserialization process. Attackers may leverage this flaw to inject malicious objects, potentially leading to arbitrary code execution. The attack complexity is rated low, and no privileges are required to exploit this vulnerability, making it accessible to a wider range of attackers.
User interaction is required to trigger the vulnerability, which can lead to significant confidentiality, integrity, and availability impacts. Organizations must assess their deployment of PyTorch Lightning and implement necessary security measures to prevent exploitation.
Risk & Impact Analysis
The real-world deployment risk associated with this vulnerability is substantial. Given that it allows for deserialization of untrusted data, the potential for attackers to manipulate data or execute unauthorized actions poses a significant threat to organizational security.
Organizations should assess the blast radius of this vulnerability, especially if PyTorch Lightning is widely used across their systems. The urgency for remediation is underscored by the high CVSS score and the fact that public exploits are available, warranting immediate action to prevent potential breaches.
Organizations should schedule remediation based on the severity and potential impact on their systems. The higher the use of the affected product, the more critical it becomes to prioritize patching.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | Yes |
Public PoC | Yes |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
The affected versions of PyTorch Lightning include all versions prior to the vendor patch, specifically versions below 1.6.0. Organizations utilizing these versions should upgrade to remediate the vulnerability.
Mitigation & Remediation
To mitigate this vulnerability, organizations should upgrade to the latest version of PyTorch Lightning. The patch can be found in the commit here. Additionally, organizations should implement configuration hardening, ensure proper input validation, and monitor systems for unusual activities related to deserialization processes.
Detection Guidance
Organizations should monitor logs for indicators of unusual deserialization activities and behavioral anomalies. Network signatures that correlate with exploit attempts should also be tracked to identify potential exploitation of this vulnerability.
AppSecure Threat Intelligence Insight
The long-term significance of CVE-2021-4118 highlights the ongoing challenges associated with deserialization vulnerabilities. Security teams must prioritize secure coding practices and rigorous input validation to prevent similar vulnerabilities in the future.
This vulnerability represents a pattern in the threat landscape where local vulnerabilities can lead to significant impacts if exploited. Organizations should learn from this incident and enhance their security measures accordingly.
For further reading on secure coding practices, organizations can refer to our secure coding practices guide and consider implementing a penetration testing methodology to assess their application security.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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