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Cross-site Scripting Vulnerability on Avatar Upload

High severity GitHub Reviewed Published Jan 23, 2024 in HumanSignal/label-studio • Updated Nov 22, 2024

Package

pip label-studio (pip)

Affected versions

< 1.9.2

Patched versions

1.9.2

Description

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 1.9.2 and was tested on version 1.8.2.

Overview

Label Studio has 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.

Description

The following code snippet in Label Studio shows that the only verification check is that the file is an image by extracting the dimensions from the file.

def hash_upload(instance, filename):
    filename = str(uuid.uuid4())[0:8] + '-' + filename
    return settings.AVATAR_PATH + '/' + filename <3>


def check_avatar(files):
    images = list(files.items())
    if not images:
        return None

    filename, avatar = list(files.items())[0]  # get first file
    w, h = get_image_dimensions(avatar) <1>
    if not w or not h:
        raise forms.ValidationError("Can't read image, try another one")

    # validate dimensions
    max_width = max_height = 1200
    if w > max_width or h > max_height:
        raise forms.ValidationError('Please use an image that is %s x %s pixels or smaller.'
                                    % (max_width, max_height))

    # validate content type
    main, sub = avatar.content_type.split('/') <2>
    if not (main == 'image' and sub.lower() in ['jpeg', 'jpg', 'gif', 'png']):
        raise forms.ValidationError(u'Please use a JPEG, GIF or PNG image.')

    # validate file size
    max_size = 1024 * 1024
    if len(avatar) > max_size:
        raise forms.ValidationError('Avatar file size may not exceed ' + str(max_size/1024) + ' kb')

    return avatar
  1. Attempts to get image dimensions to validate the uploaded avatar file is an image.
  2. Extracts the Content-Type from the upload POST request. A user can easily bypass this verification by changing the mimetype of the uploaded file to an allowed type (eg. image/jpeg).
  3. The file extension of the uploaded file is never validated and is saved to the filesystem.

Label Studio serves avatar images using Django's built-in serve view, which is not secure for production use according to Django's documentation.

    re_path(r'^data/' + settings.AVATAR_PATH + '/(?P<path>.*)$', serve,
            kwargs={'document_root': join(settings.MEDIA_ROOT, settings.AVATAR_PATH)}),

The issue with the Django serve view is that it determines the Content-Type of the response by the file extension in the URL path. Therefore, an attacker can upload an image that contains malicious HTML code and name the file with a .html extension to be rendered as a HTML page. The only file extension validation is performed on the client-side, which can be easily bypassed.

Proof of Concept

Below are the steps to reproduce this issue and execute JavaScript code in the context of the Label Studio website.

  1. Using any JPEG or PNG image, add in the comment field in the metadata the HTML code <script>alert(document.domain)</script>. This can be done using the exiftool command as shown below that was used to create the following image.
exiftool -Comment='<script>alert(document.domain)</script>' penguin.jpg

xss-penguin

  1. On Label Studio, navigate to account & settings page and intercept the upload request of the avatar image using a tool such as Burp Suite. Modify the filename in the request to have a .html extension.

  2. Right click the image on the avatar profile and copy the URL. Send this to a victim and it will display an alert box with the host name of the Label Studio instance as shown below.

xss-alert

Impact

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.

Remediation Advice

  • Validate the file extension on the server side, not in client-side code.
  • Remove the use of Django's serve view and implement a secure controller for viewing uploaded avatar images.
  • Consider saving file content in the database rather than on the filesystem to mitigate against other file related vulnerabilities.
  • Avoid trusting user controlled inputs.

Discovered

  • August 2023, Alex Brown, elttam

References

@jombooth jombooth published to HumanSignal/label-studio Jan 23, 2024
Published by the National Vulnerability Database Jan 23, 2024
Published to the GitHub Advisory Database Jan 24, 2024
Reviewed Jan 24, 2024
Last updated Nov 22, 2024

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
Required
Scope
Changed
Confidentiality
Low
Integrity
Low
Availability
Low

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:L

EPSS score

2.163%
(90th percentile)

Weaknesses

CVE ID

CVE-2023-47115

GHSA ID

GHSA-q68h-xwq5-mm7x

Credits

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