CVE-2025-32375
Vulnerability Remediation/Mitigation Strategy: CVE-2025-32375
Description: Insecure deserialization vulnerability in BentoML’s runner server prior to version 1.4.8. Malicious actors can execute arbitrary code on the server by crafting specific HTTP POST requests with manipulated headers and parameters.
Severity: Critical (CVSS Score: 9.8)
Known Exploit: Attackers can leverage this vulnerability to gain unauthorized access and execute arbitrary code on the server. This allows for:
- Initial Access: Compromising the BentoML server.
- Information Disclosure: Accessing sensitive data stored on or accessible to the server.
Remediation/Mitigation Strategy:
Immediate Upgrade: Upgrade BentoML to version 1.4.8 or later. This patch contains the fix for the insecure deserialization vulnerability. This is the primary and most effective remediation step.
Workaround (If immediate upgrade is not possible): If an immediate upgrade to v1.4.8 is not feasible, implement the following temporary workarounds, noting these are not full replacements for the upgrade:
- Input Validation & Sanitization: Implement strict input validation and sanitization on all incoming HTTP requests to the BentoML runner server, focusing on request headers and parameters. Block any requests that contain suspicious or unexpected serialized data or potentially malicious code. This requires deep understanding of the expected data format. Regularly review and update the validation rules.
- Network Segmentation: Isolate the BentoML runner server within a segmented network with restricted access. Implement firewall rules to limit inbound and outbound traffic to only necessary ports and IP addresses.
- Disable Unnecessary Functionality: If possible, disable any non-essential functionality of the BentoML runner server that might be vulnerable or used by attackers.
- Rate Limiting: Implement rate limiting on requests to the BentoML runner server to prevent attackers from overwhelming the system and exploiting the vulnerability.
- Web Application Firewall (WAF): Deploy a WAF in front of the BentoML server. Configure the WAF to inspect and filter potentially malicious HTTP requests. Create custom rules to mitigate insecure deserialization attempts.
Monitoring and Detection:
- Implement intrusion detection and prevention systems (IDS/IPS) to monitor for suspicious activity and potential exploit attempts targeting the BentoML runner server.
- Enable detailed logging on the BentoML runner server and centralize the logs for analysis.
- Set up alerts for any unusual or suspicious events, such as excessive error rates, unexpected file access, or unauthorized process execution.
Security Assessment:
- Conduct a thorough security assessment of the BentoML deployment, including penetration testing, to identify any additional vulnerabilities or misconfigurations.
- Review the BentoML configuration and ensure that it follows security best practices.
Incident Response Plan:
- Develop and maintain an incident response plan that outlines the steps to take in the event of a successful exploit.
- Ensure that the incident response team is trained and prepared to handle security incidents.
Long-Term Mitigation:
- Secure Development Practices: Implement secure coding practices within the BentoML development team to prevent future vulnerabilities.
- Regular Security Audits: Conduct regular security audits of the BentoML codebase and infrastructure.
- Dependency Management: Maintain an inventory of all dependencies used by BentoML and regularly update them to the latest versions to address known vulnerabilities.
Assigner
- GitHub, Inc. [email protected]
Date
- Published Date: 2025-04-09 15:30:04
- Updated Date: 2025-04-09 20:02:42