7.1
HIGH
CVE-2023-47115
Label Studio Django Avatar Image XSS Vulnerability
Description

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 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. Version 1.9.2 fixes this issue. Other remediation strategies include validating the file extension on the server side, not in client-side code; removing the use of Django's `serve` view and implement a secure controller for viewing uploaded avatar images; saving file content in the database rather than on the filesystem to mitigate against other file related vulnerabilities; and avoiding trusting user controlled inputs.

INFO

Published Date :

Jan. 23, 2024, 11:15 p.m.

Last Modified :

Feb. 1, 2024, 3:48 p.m.

Remotely Exploitable :

Yes !

Impact Score :

3.7

Exploitability Score :

2.8
Affected Products

The following products are affected by CVE-2023-47115 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

ID Vendor Product Action
1 Humansignal label_studio

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2023-47115 vulnerability anywhere in the article.

The following table lists the changes that have been made to the CVE-2023-47115 vulnerability over time.

Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.

  • CVE Modified by [email protected]

    May. 14, 2024

    Action Type Old Value New Value
  • Initial Analysis by [email protected]

    Feb. 01, 2024

    Action Type Old Value New Value
    Added CVSS V3.1 NIST AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N
    Changed Reference Type https://docs.djangoproject.com/en/4.2/ref/views/#serving-files-in-development No Types Assigned https://docs.djangoproject.com/en/4.2/ref/views/#serving-files-in-development Not Applicable
    Changed Reference Type https://github.com/HumanSignal/label-studio/blob/1.8.2/label_studio/users/functions.py#L18-L49 No Types Assigned https://github.com/HumanSignal/label-studio/blob/1.8.2/label_studio/users/functions.py#L18-L49 Product
    Changed Reference Type https://github.com/HumanSignal/label-studio/blob/1.8.2/label_studio/users/urls.py#L25-L26 No Types Assigned https://github.com/HumanSignal/label-studio/blob/1.8.2/label_studio/users/urls.py#L25-L26 Product
    Changed Reference Type https://github.com/HumanSignal/label-studio/commit/a7a71e594f32ec4af8f3f800d5ccb8662e275da3 No Types Assigned https://github.com/HumanSignal/label-studio/commit/a7a71e594f32ec4af8f3f800d5ccb8662e275da3 Patch
    Changed Reference Type https://github.com/HumanSignal/label-studio/security/advisories/GHSA-q68h-xwq5-mm7x No Types Assigned https://github.com/HumanSignal/label-studio/security/advisories/GHSA-q68h-xwq5-mm7x Exploit, Third Party Advisory
    Added CWE NIST CWE-79
    Added CPE Configuration OR *cpe:2.3:a:humansignal:label_studio:*:*:*:*:*:*:*:* versions up to (excluding) 1.9.2
  • CVE Received by [email protected]

    Jan. 23, 2024

    Action Type Old Value New Value
    Added Description 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 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. Version 1.9.2 fixes this issue. Other remediation strategies include validating the file extension on the server side, not in client-side code; removing the use of Django's `serve` view and implement a secure controller for viewing uploaded avatar images; saving file content in the database rather than on the filesystem to mitigate against other file related vulnerabilities; and avoiding trusting user controlled inputs.
    Added Reference GitHub, Inc. https://github.com/HumanSignal/label-studio/security/advisories/GHSA-q68h-xwq5-mm7x [No types assigned]
    Added Reference GitHub, Inc. https://github.com/HumanSignal/label-studio/commit/a7a71e594f32ec4af8f3f800d5ccb8662e275da3 [No types assigned]
    Added Reference GitHub, Inc. https://docs.djangoproject.com/en/4.2/ref/views/#serving-files-in-development [No types assigned]
    Added Reference GitHub, Inc. https://github.com/HumanSignal/label-studio/blob/1.8.2/label_studio/users/functions.py#L18-L49 [No types assigned]
    Added Reference GitHub, Inc. https://github.com/HumanSignal/label-studio/blob/1.8.2/label_studio/users/urls.py#L25-L26 [No types assigned]
    Added CWE GitHub, Inc. CWE-79
    Added CVSS V3.1 GitHub, Inc. AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:L
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2023-47115 is associated with the following CWEs:

Common Attack Pattern Enumeration and Classification (CAPEC)

Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2023-47115 weaknesses.

Exploit Prediction

EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.

2.38 }} 0.22%

score

0.90061

percentile

CVSS31 - Vulnerability Scoring System
Attack Vector
Attack Complexity
Privileges Required
User Interaction
Scope
Confidentiality
Integrity
Availability