Label Studio is an open source data labeling tool. Prior to version 1.16.0, Label Studio's S3 storage integration feature contains a Server-Side Request Forgery (SSRF) vulnerability in its endpoint configuration. When creating an S3 storage connection, the application allows users to specify a custom S3 endpoint URL via the s3_endpoint parameter. This endpoint URL is passed directly to the boto3 AWS SDK without proper validation or restrictions on the protocol or destination. The vulnerability allows an attacker to make the application send HTTP requests to arbitrary internal services by specifying them as the S3 endpoint. When the storage sync operation is triggered, the application attempts to make S3 API calls to the specified endpoint, effectively making HTTP requests to the target service and returning the response in error messages. This SSRF vulnerability enables attackers to bypass network segmentation and access internal services that should not be accessible from the externa…

Label Studio is an open source data labeling tool. Prior to version 1.16.0, Label Studio's `/projects/upload-example` endpoint allows injection of arbitrary HTML through a `GET` request with an appropriately crafted `label_config` query parameter. By crafting a specially formatted XML label config with inline task data containing malicious HTML/JavaScript, an attacker can achieve Cross-Site Scripting (XSS). While the application has a Content Security Policy (CSP), it is only set in report-only mode, making it ineffective at preventing script execution. The vulnerability exists because the upload-example endpoint renders user-provided HTML content without proper sanitization on a GET request. This allows attackers to inject and execute arbitrary JavaScript in victims' browsers by getting them to visit a maliciously crafted URL. This is considered vulnerable because it enables attackers to execute JavaScript in victims' contexts, potentially allowing theft of sensitive data, session hi…

Label Studio is an open source data labeling tool. A path traversal vulnerability in Label Studio SDK versions prior to 1.0.10 allows unauthorized file access outside the intended directory structure. The flaw exists in the VOC, COCO and YOLO export functionalities. These functions invoke a `download` function on the `label-studio-sdk` python package, which fails to validate file paths when processing image references during task exports. By creating tasks with path traversal sequences in the image field, an attacker can force the application to read files from arbitrary server filesystem locations when exporting projects in any of the mentioned formats. This is authentication-required vulnerability allowing arbitrary file reads from the server filesystem. It may lead to potential exposure of sensitive information like configuration files, credentials, and confidential data. Label Studio versions before 1.16.0 specified SDK versions prior to 1.0.10 as dependencies, and the issue was c…

### Summary On all Label Studio versions prior to 1.11.0, data imported via file upload feature is not properly sanitized prior to being rendered within a [`Choices`](https://labelstud.io/tags/choices) or [`Labels`](https://labelstud.io/tags/labels) tag, resulting in an XSS vulnerability. ### Details Need permission to use the "data import" function. This was reproduced on Label Studio 1.10.1. ### PoC 1. Create a project.  2. Upload a file containing the payload using the "Upload Files" function.   The following are the contents of the files used in the PoC ``` { "data": { "prompt": …

Label Studio is a popular open source data labeling tool. The vulnerability affects all versions of Label Studio prior to 1.11.0 and was tested on version 1.8.2. Label Studio's SSRF protections that can be enabled by setting the `SSRF_PROTECTION_ENABLED` environment variable can be bypassed to access internal web servers. This is because the current SSRF validation is done by executing a single DNS lookup to verify that the IP address is not in an excluded subnet range. This protection can be bypassed by either using HTTP redirection or performing a DNS rebinding attack.

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}]` …

Label Studio is an a popular open source data labeling tool. Versions prior to 1.9.2 have a cross-site scripting (XSS) vulnerability that could be exploited when an authenticated user uploads a crafted image file for their avatar that gets rendered as a HTML file on the 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. The file `users/functions.py` lines 18-49 show that the only verification check is that the file is an image by extracting the dimensions from the file. Label Studio serves avatar images using Django's built-in `serve` view, which is not secure for production use according to Django's documentation. The issue with the Django `serve` view is that it determines the `Content-Type` of the response by the file extensio…

Label Studio is an open source data labeling tool. In all current versions of Label Studio prior to 1.9.2post0, the application allows users to insecurely set filters for filtering tasks. An attacker can construct a filter chain to filter tasks based on sensitive fields for all user accounts on the platform by exploiting Django's Object Relational Mapper (ORM). Since the results of query can be manipulated by the ORM filter, an attacker can leak these sensitive fields character by character. In addition, Label Studio had a hard coded secret key that an attacker can use to forge a session token of any user by exploiting this ORM Leak vulnerability to leak account password hashes. This vulnerability has been addressed in commit `f931d9d129` which is included in the 1.9.2post0 release. Users are advised to upgrade. There are no known workarounds for this vulnerability.

Label Studio is a multi-type data labeling and annotation tool with standardized output format. There is a vulnerability that can be chained within the ORM Leak vulnerability to impersonate any account on Label Studio. An attacker could exploit these vulnerabilities to escalate their privileges from a low privilege user to a Django Super Administrator user. The vulnerability was found to affect versions before `1.8.2`, where a patch was introduced.

A Server Side Request Forgery (SSRF) in the Data Import module in Heartex - Label Studio Community Edition versions 1.5.0 and earlier allows an authenticated user to access arbitrary files on the system. Furthermore, self-registration is enabled by default in these versions of Label Studio enabling a remote attacker to create a new account and then exploit the SSRF.