CVE-2024-2912 in BentoML
Summary
by MITRE • 04/16/2024
An insecure deserialization vulnerability exists in the BentoML framework, allowing remote code execution (RCE) by sending a specially crafted POST request. By exploiting this vulnerability, attackers can execute arbitrary commands on the server hosting the BentoML application. The vulnerability is triggered when a serialized object, crafted to execute OS commands upon deserialization, is sent to any valid BentoML endpoint. This issue poses a significant security risk, enabling attackers to compromise the server and potentially gain unauthorized access or control.
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Analysis
by VulDB Data Team • 05/23/2024
The insecure deserialization vulnerability in BentoML represents a critical security flaw that directly undermines the integrity and confidentiality of machine learning model serving environments. This vulnerability exists within the framework's handling of serialized data objects, creating an attack surface where malicious payloads can be executed with the privileges of the running application. The flaw specifically manifests when the system processes serialized objects that contain malicious code designed to execute operating system commands upon deserialization. Such a vulnerability is particularly dangerous in production environments where BentoML serves as the backend for machine learning inference services, as it allows attackers to gain full control over the hosting server and potentially escalate their privileges to compromise the entire infrastructure.
The technical implementation of this vulnerability follows the classic insecure deserialization pattern where the application fails to validate or sanitize serialized data before processing it. When a POST request containing a crafted serialized object is sent to any valid BentoML endpoint, the framework attempts to deserialize the payload without proper input validation, leading to arbitrary code execution. This flaw aligns with CWE-502 which specifically addresses deserialization of untrusted data, and represents a direct violation of secure coding practices that mandate proper data validation and sanitization. The attack vector is particularly insidious because it requires minimal privileges to exploit and can be executed remotely without authentication, making it an attractive target for automated attacks and exploit kits. The vulnerability demonstrates how modern web frameworks can inadvertently create execution paths for malicious code when they fail to implement proper security controls around data serialization mechanisms.
The operational impact of this vulnerability extends far beyond simple remote code execution, creating a comprehensive threat landscape for organizations deploying BentoML applications. Successful exploitation enables attackers to perform complete system compromise including privilege escalation, data exfiltration, and persistence mechanisms. The vulnerability can be leveraged to establish backdoors, install additional malware, or use the compromised server as a launch point for lateral movement within network environments. Organizations may face significant regulatory and compliance consequences due to data breaches resulting from this vulnerability, particularly in industries governed by standards such as gdpr, hipaa, or pci dss. The attack surface is particularly concerning for cloud-native deployments where BentoML applications may be exposed directly to internet-facing endpoints, increasing the probability of successful exploitation. This vulnerability also creates potential for denial of service attacks where malicious actors can consume system resources or corrupt application state through carefully crafted payloads.
Mitigation strategies for this vulnerability must address both immediate remediation and long-term architectural security improvements. The most effective immediate solution involves implementing proper input validation and sanitization of all serialized data, including the use of allowlists for acceptable object types and the implementation of secure deserialization practices. Organizations should deploy web application firewalls and intrusion detection systems to monitor for suspicious POST requests containing serialized objects. The framework should be updated to the latest version where the vulnerability has been patched, and security teams should implement comprehensive monitoring for unauthorized access attempts. Regular security assessments and penetration testing should be conducted to identify similar vulnerabilities in related components and dependencies. Additionally, organizations should implement principle of least privilege access controls, network segmentation, and regular security training for developers to prevent similar issues in future applications. This vulnerability highlights the importance of secure coding practices and the necessity of implementing defense-in-depth strategies that protect against various attack vectors including those targeting serialization mechanisms.