CVE-2024-23633

Label Studio, an open source data labeling tool had a remote import feature allowed users to import data from a remote web source, that was downloaded and could be viewed on the website. Prior to version 1.10.1, this feature could had been abused to download a HTML file that executed malicious JavaScript code in the context of the Label Studio website. Executing arbitrary JavaScript could result in an attacker performing malicious actions on Label Studio users if they visit the crafted avatar image. For an example, an attacker can craft a JavaScript payload that adds a new Django Super Administrator user if a Django administrator visits the image.

data_import/uploader.py lines 125C5 through 146 showed that if a URL passed the server side request forgery verification checks, the contents of the file would be downloaded using the filename in the URL. The downloaded file path could then be retrieved by sending a request to /api/projects/{project_id}/file-uploads?ids=[{download_id}] where {project_id} was the ID of the project and {download_id} was the ID of the downloaded file. Once the downloaded file path was retrieved by the previous API endpoint, data_import/api.pylines 595C1 through 616C62 demonstrated that the Content-Type of the response was determined by the file extension, since mimetypes.guess_type guesses the Content-Type based on the file extension. Since the Content-Type was determined by the file extension of the downloaded file, an attacker could import in a .html file that would execute JavaScript when visited.

Version 1.10.1 contains a patch for this issue. Other remediation strategies are also available. For all user provided files that are downloaded by Label Studio, set the Content-Security-Policy: sandbox; response header when viewed on the site. The sandbox directive restricts a page's actions to prevent popups, execution of plugins and scripts and enforces a same-origin policy. Alternatively, restrict the allowed file extensions that may be downloaded.

Label Studio, an open source data labeling tool had a remote import feature allowed users to import data from a remote web source, that was downloaded and could be viewed on the website. Prior to version 1.10.1, this feature could had been abused to download a HTML file that executed malicious JavaScript code in the context of the Label Studio website. Executing arbitrary JavaScript could result in an attacker performing malicious actions on Label Studio users if they visit the crafted avatar image. For an example, an attacker can craft a JavaScript payload that adds a new Django Super Administrator user if a Django administrator visits the image.

data_import/uploader.py lines 125C5 through 146 showed that if a URL passed the server side request forgery verification checks, the contents of the file would be downloaded using the filename in the URL. The downloaded file path could then be retrieved by sending a request to /api/projects/{project_id}/file-uploads?ids=[{download_id}] where {project_id} was the ID of the project and {download_id} was the ID of the downloaded file. Once the downloaded file path was retrieved by the previous API endpoint, data_import/api.pylines 595C1 through 616C62 demonstrated that the Content-Type of the response was determined by the file extension, since mimetypes.guess_type guesses the Content-Type based on the file extension. Since the Content-Type was determined by the file extension of the downloaded file, an attacker could import in a .html file that would execute JavaScript when visited.

Version 1.10.1 contains a patch for this issue. Other remediation strategies are also available. For all user provided files that are downloaded by Label Studio, set the Content-Security-Policy: sandbox; response header when viewed on the site. The sandbox directive restricts a page's actions to prevent popups, execution of plugins and scripts and enforces a same-origin policy. Alternatively, restrict the allowed file extensions that may be downloaded.

Introduction

This write-up describes a vulnerability found in Label Studio, a popular open source data labeling tool. The vulnerability affects all versions of Label Studio prior to 1.10.1 and was tested on version 1.9.2.post0.

Overview

Label Studio had a remote import feature allowed users to import data from a remote web source, that was downloaded and could be viewed on the website. This feature could had been abused to download a HTML file that executed malicious JavaScript code in the context of the Label Studio website.

Description

The following code snippet in Label Studio showed that is a URL passed the SSRF verification checks, the contents of the file would be downloaded using the filename in the URL.

def tasks_from_url(file_upload_ids, project, user, url, could_be_tasks_list):
    """Download file using URL and read tasks from it"""
    # process URL with tasks
    try:
        filename = url.rsplit('/', 1)[-1] <1>

        response = ssrf_safe_get(
            url, verify=project.organization.should_verify_ssl_certs(), stream=True, headers={'Accept-Encoding': None}
        )
        file_content = response.content
        check_tasks_max_file_size(int(response.headers['content-length']))
        file_upload = create_file_upload(user, project, SimpleUploadedFile(filename, file_content))
        if file_upload.format_could_be_tasks_list:
            could_be_tasks_list = True
        file_upload_ids.append(file_upload.id)
        tasks, found_formats, data_keys = FileUpload.load_tasks_from_uploaded_files(project, file_upload_ids)

    except ValidationError as e:
        raise e
    except Exception as e:
        raise ValidationError(str(e))
    return data_keys, found_formats, tasks, file_upload_ids, could_be_tasks_list

1. The file name that was set was retrieved from the URL.

The downloaded file path could then be retrieved by sending a request to /api/projects/{project_id}/file-uploads?ids=[{download_id}] where {project_id} was the ID of the project and {download_id} was the ID of the downloaded file. Once the downloaded file path was retrieved by the previous API endpoint, the following code snippet demonstrated that the Content-Type of the response was determined by the file extension, since mimetypes.guess_type guesses the Content-Type based on the file extension.

class UploadedFileResponse(generics.RetrieveAPIView):
    permission_classes = (IsAuthenticated,)

    @swagger_auto_schema(auto_schema=None)
    def get(self, *args, **kwargs):
        request = self.request
        filename = kwargs['filename']
        # XXX needed, on windows os.path.join generates '\' which breaks FileUpload
        file = settings.UPLOAD_DIR + ('/' if not settings.UPLOAD_DIR.endswith('/') else '') + filename
        logger.debug(f'Fetch uploaded file by user {request.user} => {file}')
        file_upload = FileUpload.objects.filter(file=file).last()

        if not file_upload.has_permission(request.user):
            return Response(status=status.HTTP_403_FORBIDDEN)

        file = file_upload.file
        if file.storage.exists(file.name):
            content_type, encoding = mimetypes.guess_type(str(file.name)) <1>
            content_type = content_type or 'application/octet-stream'
            return RangedFileResponse(request, file.open(mode='rb'), content_type=content_type)
        else:
            return Response(status=status.HTTP_404_NOT_FOUND)

1. Determines the Content-Type based on the extension of the uploaded file by using mimetypes.guess_type.

Since the Content-Type was determined by the file extension of the downloaded file, an…

Label Studio, an open source data labeling tool had a remote import feature allowed users to import data from a remote web source, that was downloaded and could be viewed on the website. Prior to version 1.10.1, this feature could had been abused to download a HTML file that executed malicious JavaScript code in the context of the Label Studio website. Executing arbitrary JavaScript could result in an attacker performing malicious actions on Label Studio users if they visit the crafted avatar image. For an example, an attacker can craft a JavaScript payload that adds a new Django Super Administrator user if a Django administrator visits the image.

data_import/uploader.py lines 125C5 through 146 showed that if a URL passed the server side request forgery verification checks, the contents of the file would be downloaded using the filename in the URL. The downloaded file path could then be retrieved by sending a request to /api/projects/{project_id}/file-uploads?ids=[{download_id}] where {project_id} was the ID of the project and {download_id} was the ID of the downloaded file. Once the downloaded file path was retrieved by the previous API endpoint, data_import/api.pylines 595C1 through 616C62 demonstrated that the Content-Type of the response was determined by the file extension, since mimetypes.guess_type guesses the Content-Type based on the file extension. Since the Content-Type was determined by the file extension of the downloaded file, an attacker could import in a .html file that would execute JavaScript when visited.

Version 1.10.1 contains a patch for this issue. Other remediation strategies are also available. For all user provided files that are downloaded by Label Studio, set the Content-Security-Policy: sandbox; response header when viewed on the site. The sandbox directive restricts a page's actions to prevent popups, execution of plugins and scripts and enforces a same-origin policy. Alternatively, restrict the allowed file extensions that may be downloaded.

Label Studio, an open source data labeling tool had a remote import feature allowed users to import data from a remote web source, that was downloaded and could be viewed on the website. Prior to version 1.10.1, this feature could had been abused to download a HTML file that executed malicious JavaScript code in the context of the Label Studio website. Executing arbitrary JavaScript could result in an attacker performing malicious actions on Label Studio users if they visit the crafted avatar image. For an example, an attacker can craft a JavaScript payload that adds a new Django Super Administrator user if a Django administrator visits the image.

data_import/uploader.py lines 125C5 through 146 showed that if a URL passed the server side request forgery verification checks, the contents of the file would be downloaded using the filename in the URL. The downloaded file path could then be retrieved by sending a request to /api/projects/{project_id}/file-uploads?ids=[{download_id}] where {project_id} was the ID of the project and {download_id} was the ID of the downloaded file. Once the downloaded file path was retrieved by the previous API endpoint, data_import/api.pylines 595C1 through 616C62 demonstrated that the Content-Type of the response was determined by the file extension, since mimetypes.guess_type guesses the Content-Type based on the file extension. Since the Content-Type was determined by the file extension of the downloaded file, an attacker could import in a .html file that would execute JavaScript when visited.

Version 1.10.1 contains a patch for this issue. Other remediation strategies are also available. For all user provided files that are downloaded by Label Studio, set the Content-Security-Policy: sandbox; response header when viewed on the site. The sandbox directive restricts a page's actions to prevent popups, execution of plugins and scripts and enforces a same-origin policy. Alternatively, restrict the allowed file extensions that may be downloaded.

Introduction

This write-up describes a vulnerability found in Label Studio, a popular open source data labeling tool. The vulnerability affects all versions of Label Studio prior to 1.10.1 and was tested on version 1.9.2.post0.

Overview

Label Studio had a remote import feature allowed users to import data from a remote web source, that was downloaded and could be viewed on the website. This feature could had been abused to download a HTML file that executed malicious JavaScript code in the context of the Label Studio website.

Description

The following code snippet in Label Studio showed that is a URL passed the SSRF verification checks, the contents of the file would be downloaded using the filename in the URL.

def tasks_from_url(file_upload_ids, project, user, url, could_be_tasks_list):
    """Download file using URL and read tasks from it"""
    # process URL with tasks
    try:
        filename = url.rsplit('/', 1)[-1] <1>

        response = ssrf_safe_get(
            url, verify=project.organization.should_verify_ssl_certs(), stream=True, headers={'Accept-Encoding': None}
        )
        file_content = response.content
        check_tasks_max_file_size(int(response.headers['content-length']))
        file_upload = create_file_upload(user, project, SimpleUploadedFile(filename, file_content))
        if file_upload.format_could_be_tasks_list:
            could_be_tasks_list = True
        file_upload_ids.append(file_upload.id)
        tasks, found_formats, data_keys = FileUpload.load_tasks_from_uploaded_files(project, file_upload_ids)

    except ValidationError as e:
        raise e
    except Exception as e:
        raise ValidationError(str(e))
    return data_keys, found_formats, tasks, file_upload_ids, could_be_tasks_list

1. The file name that was set was retrieved from the URL.

The downloaded file path could then be retrieved by sending a request to /api/projects/{project_id}/file-uploads?ids=[{download_id}] where {project_id} was the ID of the project and {download_id} was the ID of the downloaded file. Once the downloaded file path was retrieved by the previous API endpoint, the following code snippet demonstrated that the Content-Type of the response was determined by the file extension, since mimetypes.guess_type guesses the Content-Type based on the file extension.

class UploadedFileResponse(generics.RetrieveAPIView):
    permission_classes = (IsAuthenticated,)

    @swagger_auto_schema(auto_schema=None)
    def get(self, *args, **kwargs):
        request = self.request
        filename = kwargs['filename']
        # XXX needed, on windows os.path.join generates '\' which breaks FileUpload
        file = settings.UPLOAD_DIR + ('/' if not settings.UPLOAD_DIR.endswith('/') else '') + filename
        logger.debug(f'Fetch uploaded file by user {request.user} => {file}')
        file_upload = FileUpload.objects.filter(file=file).last()

        if not file_upload.has_permission(request.user):
            return Response(status=status.HTTP_403_FORBIDDEN)

        file = file_upload.file
        if file.storage.exists(file.name):
            content_type, encoding = mimetypes.guess_type(str(file.name)) <1>
            content_type = content_type or 'application/octet-stream'
            return RangedFileResponse(request, file.open(mode='rb'), content_type=content_type)
        else:
            return Response(status=status.HTTP_404_NOT_FOUND)

1. Determines the Content-Type based on the extension of the uploaded file by using mimetypes.guess_type.

Since the Content-Type was determined by the file extension of the downloaded file, an…

Label Studio, an open source data labeling tool had a remote import feature allowed users to import data from a remote web source, that was downloaded and could be viewed on the website. Prior to version 1.10.1, this feature could had been abused to download a HTML file that executed malicious JavaScript code in the context of the Label Studio website. Executing arbitrary JavaScript could result in an attacker performing malicious actions on Label Studio users if they visit the crafted avatar image. For an example, an attacker can craft a JavaScript payload that adds a new Django Super Administrator user if a Django administrator visits the image.

data_import/uploader.py lines 125C5 through 146 showed that if a URL passed the server side request forgery verification checks, the contents of the file would be downloaded using the filename in the URL. The downloaded file path could then be retrieved by sending a request to /api/projects/{project_id}/file-uploads?ids=[{download_id}] where {project_id} was the ID of the project and {download_id} was the ID of the downloaded file. Once the downloaded file path was retrieved by the previous API endpoint, data_import/api.pylines 595C1 through 616C62 demonstrated that the Content-Type of the response was determined by the file extension, since mimetypes.guess_type guesses the Content-Type based on the file extension. Since the Content-Type was determined by the file extension of the downloaded file, an attacker could import in a .html file that would execute JavaScript when visited.

Version 1.10.1 contains a patch for this issue. Other remediation strategies are also available. For all user provided files that are downloaded by Label Studio, set the Content-Security-Policy: sandbox; response header when viewed on the site. The sandbox directive restricts a page's actions to prevent popups, execution of plugins and scripts and enforces a same-origin policy. Alternatively, restrict the allowed file extensions that may be downloaded.