Description
In lightning-ai/pytorch-lightning version 2.3.2, a vulnerability exists in the `LightningApp` when running on a Windows host. The vulnerability occurs at the `/api/v1/upload_file/` endpoint, allowing an attacker to write or overwrite arbitrary files by providing a crafted filename. This can lead to potential remote code execution (RCE) by overwriting critical files or placing malicious files in sensitive locations.
EPSS Score:
0%
Comprehensive Technical Analysis of EUVD-2025-6932
1. Vulnerability Assessment and Severity Evaluation
The vulnerability identified in the LightningApp component of lightning-ai/pytorch-lightning version 2.3.2 is severe. The issue arises from the /api/v1/upload_file/ endpoint, which allows an attacker to write or overwrite arbitrary files by providing a crafted filename. This can lead to remote code execution (RCE) by overwriting critical files or placing malicious files in sensitive locations.
Severity Evaluation:
- CVSS Base Score: 9.1
- CVSS Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H
The high base score indicates a critical vulnerability due to the potential for high impact on integrity and availability, with low attack complexity and no user interaction required.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Network Attack: An attacker can exploit this vulnerability over the network without needing to authenticate or interact with a user.
- File Upload Manipulation: By crafting a malicious filename, an attacker can manipulate the file upload process to overwrite critical system files or place malicious files in sensitive directories.
Exploitation Methods:
- Arbitrary File Write: An attacker can upload a file with a specially crafted filename to overwrite system files, configuration files, or executables.
- Remote Code Execution: By overwriting executable files or placing malicious scripts in directories that are part of the system's execution path, an attacker can achieve RCE.
3. Affected Systems and Software Versions
Affected Software:
lightning-ai/pytorch-lightningversion 2.3.2- Potentially other versions prior to 2.3.3, as indicated by the ENISA ID Product information.
Affected Systems:
- Windows hosts running the vulnerable version of
lightning-ai/pytorch-lightning.
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Patching: Upgrade to
lightning-ai/pytorch-lightningversion 2.3.3 or later, which includes a fix for this vulnerability. - Temporary Workaround: Disable the
/api/v1/upload_file/endpoint if it is not critical for operations until a patch can be applied.
Long-Term Mitigation:
- Input Validation: Implement robust input validation for filenames and file paths to prevent arbitrary file writes.
- Access Controls: Enforce strict access controls and authentication mechanisms for sensitive endpoints.
- Regular Audits: Conduct regular security audits and code reviews to identify and mitigate similar vulnerabilities.
5. Impact on European Cybersecurity Landscape
The vulnerability poses a significant risk to organizations using lightning-ai/pytorch-lightning on Windows hosts, particularly those in sectors where data integrity and system availability are critical, such as finance, healthcare, and government. The potential for RCE can lead to data breaches, system compromises, and service disruptions, impacting the broader European cybersecurity landscape.
6. Technical Details for Security Professionals
Vulnerability Details:
- Endpoint:
/api/v1/upload_file/ - Vulnerable Component:
LightningApp - Exploit Mechanism: Crafted filename leading to arbitrary file write and potential RCE.
Detection and Monitoring:
- Log Analysis: Monitor logs for unusual file upload activities, especially those involving suspicious filenames or paths.
- Intrusion Detection: Implement intrusion detection systems (IDS) to detect and alert on attempts to exploit this vulnerability.
Incident Response:
- Containment: Isolate affected systems to prevent further exploitation.
- Forensic Analysis: Conduct a thorough forensic analysis to identify the extent of the compromise and any malicious files placed on the system.
- Recovery: Restore affected systems from clean backups and apply the necessary patches.
References:
By addressing this vulnerability promptly and implementing robust security measures, organizations can mitigate the risk of exploitation and protect their systems from potential attacks.