Vulnerabilities (CVE)

MindsDB is a platform for building artificial intelligence from enterprise data. Prior to version 25.9.1.1, there is a path traversal vulnerability in Mindsdb's /api/files interface, which an authenticated attacker can exploit to achieve remote command execution. The vulnerability exists in the "Upload File" module, which corresponds to the API endpoint /api/files. Since the multipart file upload does not perform security checks on the uploaded file path, an attacker can perform path traversal b ... MindsDB is a platform for building artificial intelligence from enterprise data. Prior to version 25.9.1.1, there is a path traversal vulnerability in Mindsdb's /api/files interface, which an authenticated attacker can exploit to achieve remote command execution. The vulnerability exists in the "Upload File" module, which corresponds to the API endpoint /api/files. Since the multipart file upload does not perform security checks on the uploaded file path, an attacker can perform path traversal by using `../` sequences in the filename field. The file write operation occurs before calling clear_filename and save_file, meaning there is no filtering of filenames or file types, allowing arbitrary content to be written to any path on the server. Version 25.9.1.1 patches the issue.

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MindsDB is a platform for building artificial intelligence from enterprise data. Prior to version 25.11.1, an unauthenticated path traversal in the file upload API lets any caller read arbitrary files from the server filesystem and move them into MindsDB’s storage, exposing sensitive data. The PUT handler in file.py directly joins user-controlled data into a filesystem path when the request body is JSON and source_type is not "url". Only multipart uploads and URL-sourced uploads receive sanitiza ... MindsDB is a platform for building artificial intelligence from enterprise data. Prior to version 25.11.1, an unauthenticated path traversal in the file upload API lets any caller read arbitrary files from the server filesystem and move them into MindsDB’s storage, exposing sensitive data. The PUT handler in file.py directly joins user-controlled data into a filesystem path when the request body is JSON and source_type is not "url". Only multipart uploads and URL-sourced uploads receive sanitization; JSON uploads lack any call to clear_filename or equivalent checks. This vulnerability is fixed in 25.11.1.

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A security vulnerability has been detected in MindsDB up to 25.14.1. This vulnerability affects the function clear_filename of the file mindsdb/utilities/security.py of the component File Upload. Such manipulation leads to server-side request forgery. The attack may be performed from remote. The exploit has been disclosed publicly and may be used. The name of the patch is 74d6f0fd4b630218519a700fbee1c05c7fd4b1ed. It is best practice to apply a patch to resolve this issue.

Cross-site Scripting (XSS) - Stored in mindsdb/mindsdb

MindsDB is a SQL Server for artificial intelligence. Prior to version 23.11.4.1, the `put` method in `mindsdb/mindsdb/api/http/namespaces/file.py` does not validate the user-controlled name value, which is used in a temporary file name, which is afterwards opened for writing on lines 122-125, which leads to path injection. Later in the method, the temporary directory is deleted on line 151, but since we can write outside of the directory using the path injection vulnerability, the potentially da ... MindsDB is a SQL Server for artificial intelligence. Prior to version 23.11.4.1, the `put` method in `mindsdb/mindsdb/api/http/namespaces/file.py` does not validate the user-controlled name value, which is used in a temporary file name, which is afterwards opened for writing on lines 122-125, which leads to path injection. Later in the method, the temporary directory is deleted on line 151, but since we can write outside of the directory using the path injection vulnerability, the potentially dangerous file is not deleted. Arbitrary file contents can be written due to `f.write(chunk)` on line 125. Mindsdb does check later on line 149 in the `save_file` method in `file-controller.py` which calls the `_handle_source` method in `file_handler.py` if a file is of one of the types `csv`, `json`, `parquet`, `xls`, or `xlsx`. However, since the check happens after the file has already been written, the files will still exist (and will not be removed due to the path injection described earlier), just the `_handle_source` method will return an error. The same user-controlled source source is used also in another path injection sink on line 138. This leads to another path injection, which allows an attacker to delete any `zip` or `tar.gz` files on the server.

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MindsDB connects artificial intelligence models to real time data. Versions prior to 23.11.4.1 contain a limited file write vulnerability in `file.py` Users should use MindsDB's `staging` branch or v23.11.4.1, which contain a fix for the issue.

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.

MindsDB's AI Virtual Database allows developers to connect any AI/ML model to any datasource. Prior to version 23.7.4.0, a call to requests with `verify=False` disables SSL certificate checks. This rule enforces always verifying SSL certificates for methods in the Requests library. In version 23.7.4.0, certificates are validated by default, which is the desired behavior.

mindsdb is a Machine Learning platform to help developers build AI solutions. In affected versions an unsafe extraction is being performed using `tarfile.extractall()` from a remotely retrieved tarball. Which may lead to the writing of the extracted files to an unintended location. Sometimes, the vulnerability is called a TarSlip or a ZipSlip variant. An attacker may leverage this vulnerability to overwrite any local file which the server process has access to. There is no risk of file exposure ... mindsdb is a Machine Learning platform to help developers build AI solutions. In affected versions an unsafe extraction is being performed using `tarfile.extractall()` from a remotely retrieved tarball. Which may lead to the writing of the extracted files to an unintended location. Sometimes, the vulnerability is called a TarSlip or a ZipSlip variant. An attacker may leverage this vulnerability to overwrite any local file which the server process has access to. There is no risk of file exposure with this vulnerability. This issue has been addressed in release `23.2.1.0 `. Users are advised to upgrade. There are no known workarounds for this vulnerability.

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MindsDB is an open source machine learning platform. An unsafe extraction is being performed using `shutil.unpack_archive()` from a remotely retrieved tarball. Which may lead to the writing of the extracted files to an unintended location. This vulnerability is sometimes called a **TarSlip** or a **ZipSlip variant**. Unpacking files using the high-level function `shutil.unpack_archive()` from a potentially malicious tarball without validating that the destination file path remained within the in ... MindsDB is an open source machine learning platform. An unsafe extraction is being performed using `shutil.unpack_archive()` from a remotely retrieved tarball. Which may lead to the writing of the extracted files to an unintended location. This vulnerability is sometimes called a **TarSlip** or a **ZipSlip variant**. Unpacking files using the high-level function `shutil.unpack_archive()` from a potentially malicious tarball without validating that the destination file path remained within the intended destination directory may cause files to be overwritten outside the destination directory. An attacker could craft a malicious tarball with a filename path, such as `../../../../../../../../etc/passwd`, and then serve the archive remotely using a personal bucket `s3`, thus, retrieve the tarball through **mindsdb** and overwrite the system files of the hosting server. This issue has been addressed in version 22.11.4.3. Users are advised to upgrade. Users unable to upgrade should avoid ingesting archives from untrusted sources.

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A cross-site scripting (XSS) vulnerability exists in all versions of the MindsDB platform, enabling the execution of a JavaScript payload whenever a user enumerates an ML Engine, database, project, or dataset containing arbitrary JavaScript code within the web UI.

Deserialization of untrusted data can occur in versions 23.10.2.0 and newer of the MindsDB platform, enabling a maliciously uploaded ‘inhouse’ model to run arbitrary code on the server when using ‘finetune’ on it.

Deserialization of untrusted data can occur in versions 23.10.3.0 and newer of the MindsDB platform, enabling a maliciously uploaded ‘inhouse’ model to run arbitrary code on the server when a ‘describe’ query is run on it.

Deserialization of untrusted data can occur in versions 23.10.2.0 and newer of the MindsDB platform, enabling a maliciously uploaded ‘inhouse’ model to run arbitrary code on the server when used for a prediction.

Deserialization of untrusted data can occur in versions 23.3.2.0 and newer of the MindsDB platform, enabling a maliciously uploaded model to run arbitrary code on the server when interacted with.

An arbitrary code execution vulnerability exists in versions 23.10.5.0 up to 24.7.4.1 of the MindsDB platform, when the Microsoft SharePoint integration is installed on the server. For databases created with the SharePoint engine, an ‘INSERT’ query can be used for list item creation. If such a query is specially crafted to contain Python code and is run against the database, the code will be passed to an eval function and executed on the server.

An arbitrary code execution vulnerability exists in versions 23.10.5.0 up to 24.7.4.1 of the MindsDB platform, when the Microsoft SharePoint integration is installed on the server. For databases created with the SharePoint engine, an ‘INSERT’ query can be used for site column creation. If such a query is specially crafted to contain Python code and is run against the database, the code will be passed to an eval function and executed on the server.

An arbitrary code execution vulnerability exists in versions 23.10.5.0 up to 24.7.4.1 of the MindsDB platform, when the Microsoft SharePoint integration is installed on the server. For databases created with the SharePoint engine, an ‘INSERT’ query can be used for list creation. If such a query is specially crafted to contain Python code and is run against the database, the code will be passed to an eval function and executed on the server.

An arbitrary code execution vulnerability exists in versions 23.12.4.0 up to 24.7.4.1 of the MindsDB platform, when the ChromaDB integration is installed on the server. If a specially crafted ‘INSERT’ query containing Python code is run against a database created with the ChromaDB engine, the code will be passed to an eval function and executed on the server.

An arbitrary code execution vulnerability exists in versions 23.11.4.2 up to 24.7.4.1 of the MindsDB platform, when one of several integrations is installed on the server. If a specially crafted ‘UPDATE’ query containing Python code is run against a database created with the specified integration engine, the code will be passed to an eval function and executed on the server.

An arbitrary code execution vulnerability exists in versions 23.10.3.0 up to 24.7.4.1 of the MindsDB platform, when the Weaviate integration is installed on the server. If a specially crafted ‘SELECT WHERE’ clause containing Python code is run against a database created with the Weaviate engine, the code will be passed to an eval function and executed on the server.

MindsDB is a platform for building artificial intelligence from enterprise data. Prior to version 23.12.4.2, a threat actor can bypass the server-side request forgery protection on the whole website with DNS Rebinding. The vulnerability can also lead to denial of service. Version 23.12.4.2 contains a patch.