CVE-2023-49795 in MindsDB
Summary
by MITRE • 12/11/2023
MindsDB connects artificial intelligence models to real time data. Versions prior to 23.11.4.1 contain a server-side request forgery vulnerability in `file.py`. This can lead to limited information disclosure. Users should use MindsDB's `staging` branch or v23.11.4.1, which contain a fix for the issue.
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Analysis
by VulDB Data Team • 01/01/2024
The MindsDB platform represents an artificial intelligence framework that bridges machine learning models with real-time data streams, enabling organizations to deploy predictive analytics solutions seamlessly. This vulnerability exists within the file handling module of the platform's codebase, specifically in a file named `file.py` which processes file operations and data ingestion tasks. The affected versions prior to 23.11.4.1 demonstrate a critical flaw in the server-side request forgery implementation that allows malicious actors to manipulate file access requests.
This server-side request forgery vulnerability operates by permitting unauthorized access to internal resources through manipulated file paths or URLs that bypass normal access controls. The flaw enables attackers to potentially access sensitive files or data that should otherwise be restricted, leading to limited information disclosure. The vulnerability stems from inadequate input validation and sanitization of file paths, allowing crafted requests to traverse the file system and access unintended resources. This represents a classic srf vulnerability pattern that aligns with CWE-918, which specifically addresses server-side request forgery conditions.
The operational impact of this vulnerability extends beyond simple information disclosure, as it creates potential attack vectors for more sophisticated exploitation attempts. Attackers could leverage this flaw to access configuration files, database credentials, or other sensitive data stored within the MindsDB environment. The limited nature of the disclosure suggests that the vulnerability does not provide complete system compromise, but rather restricted access to specific file resources. However, the implications remain significant for organizations relying on MindsDB for critical data processing and model deployment operations.
Security practitioners should implement immediate mitigation measures by upgrading to the patched versions, specifically the staging branch or v23.11.4.1 which contains the necessary code modifications to address the server-side request forgery vulnerability. The fix likely involves implementing proper input validation, path sanitization, and access control mechanisms that prevent unauthorized file access. Organizations should also conduct thorough security assessments of their MindsDB deployments to identify any potential exploitation attempts and ensure complete remediation of the vulnerability. This vulnerability aligns with ATT&CK technique T1566.002, which covers server-side request forgery, and represents a common attack vector that requires careful input validation and access control implementation.