CVE-2024-5980
CVE-2024-5980
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
A vulnerability in the /v1/runs API endpoint of lightning-ai/pytorch-lightning v2.2.4 allows attackers to exploit path traversal when extracting tar.gz files. When the LightningApp is running with the plugin_server, attackers can deploy malicious tar.gz plugins that embed arbitrary files with path traversal vulnerabilities. This can result in arbitrary files being written to any directory in the victim's local file system, potentially leading to remote code execution.
Comprehensive Technical Analysis of CVE-2024-5980
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-5980
Description:
The vulnerability resides in the /v1/runs API endpoint of lightning-ai/pytorch-lightning version 2.2.4. It allows attackers to exploit a path traversal vulnerability when extracting tar.gz files. This can result in arbitrary files being written to any directory in the victim's local file system, potentially leading to remote code execution (RCE).
CVSS Score: 9.8
Severity Evaluation: A CVSS score of 9.8 indicates a critical vulnerability. The high score is due to the potential for remote code execution, which can lead to complete system compromise. The vulnerability's impact is severe, affecting confidentiality, integrity, and availability.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Network-Based Attack: An attacker can exploit this vulnerability over the network by sending a specially crafted
tar.gzfile to the/v1/runsAPI endpoint. - Malicious Plugins: Attackers can deploy malicious
tar.gzplugins that embed arbitrary files with path traversal vulnerabilities.
Exploitation Methods:
- Path Traversal: By embedding files with path traversal sequences (e.g.,
../../etc/passwd), attackers can write files to any directory on the victim's system. - Remote Code Execution: By writing executable files or scripts to critical directories, attackers can achieve remote code execution, leading to full system compromise.
3. Affected Systems and Software Versions
Affected Software:
lightning-ai/pytorch-lightningversion 2.2.4
Affected Systems:
- Any system running the
LightningAppwith theplugin_serverenabled. - Systems that process
tar.gzfiles through the/v1/runsAPI endpoint.
4. Recommended Mitigation Strategies
Immediate Actions:
- Patching: Upgrade to a patched version of
lightning-ai/pytorch-lightningthat addresses this vulnerability. - Disable Plugin Server: Temporarily disable the
plugin_serverif it is not critical to operations.
Long-Term Mitigations:
- Input Validation: Implement strict input validation for files uploaded through the
/v1/runsAPI endpoint. - Least Privilege: Ensure that the application runs with the least privileges necessary to minimize the impact of potential exploits.
- Regular Audits: Conduct regular security audits and code reviews to identify and mitigate similar vulnerabilities.
5. Impact on Cybersecurity Landscape
Broader Implications:
- Supply Chain Risks: This vulnerability highlights the risks associated with third-party libraries and plugins, emphasizing the need for robust supply chain security practices.
- API Security: It underscores the importance of securing API endpoints, especially those handling file uploads and extraction.
- Remote Code Execution: The potential for RCE makes this vulnerability particularly dangerous, as it can lead to full system compromise and lateral movement within networks.
6. Technical Details for Security Professionals
Vulnerability Details:
- Endpoint:
/v1/runs - File Type:
tar.gz - Exploit Mechanism: Path traversal during file extraction.
Detection and Monitoring:
- Log Analysis: Monitor logs for unusual file extraction activities and API requests.
- Intrusion Detection Systems (IDS): Implement IDS rules to detect and alert on suspicious file uploads and extraction activities.
- File Integrity Monitoring: Use file integrity monitoring tools to detect unauthorized file modifications.
Response and Recovery:
- Incident Response Plan: Have a well-defined incident response plan to quickly address and mitigate any exploitation attempts.
- Backup and Restore: Ensure regular backups and test restore procedures to recover from potential data corruption or loss.
Conclusion:
CVE-2024-5980 represents a critical vulnerability that requires immediate attention. Organizations using lightning-ai/pytorch-lightning should prioritize patching and implementing robust security measures to mitigate the risk of exploitation. The broader cybersecurity community should take note of the implications for API security and supply chain risks, reinforcing the need for continuous vigilance and proactive security practices.