# CVE-2023-47115: Label Studio XSS Vulnerability on Avatar Upload > Authenticated users can upload crafted images with HTML extensions to execute arbitrary JavaScript, potentially escalating privileges to administrator. - **Severity:** High 7.1 (`CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:L`) - **Exploited in the wild:** Not known - **Login needed:** Not needed - **Attackable:** Over the internet - **Victim action needed:** A user has to click or open something - **Fix available:** Yes - **Published:** 23 Jan 2024 - **Updated:** 30 May 2025 - **Also known as:** GHSA-q68h-xwq5-mm7x, PYSEC-2024-126 ## What is CVE-2023-47115? CVE-2023-47115 is a high-severity cross-site scripting vulnerability in HumanSignal label-studio, published on 23 Jan 2024. An attacker can exploit it over the internet without logging in, and only if a user opens a file or follows a link. ### Official 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. Weakness: CWE-79 (Improper Neutralization of Input During Web Page Generation) ## Which versions are affected by CVE-2023-47115? 3 open source packages ship an affected version, including label-studio. It affects 1 product. | Package | Ecosystem | Affected | Fixed in | | --- | --- | --- | --- | | `label-studio` | PyPI | All versions | 1.9.2 | | `label-studio` | PyPI | All versions | 1.9.2 | | `label-studio` | PyPI | All versions | 1.9.2 | Products: Humansignal Label Studio. ## How do I fix CVE-2023-47115? Upgrade label-studio to 1.9.2 or later. ## Is CVE-2023-47115 being exploited? It is not confirmed as exploited in the wild, but public exploit code for CVE-2023-47115 exists. Public exploit code: - Label Studio - Cross-Site Scripting (nuclei): http/cves/2023/CVE-2023-47115.yaml ## Other vulnerabilities in HumanSignal label-studio - [CVE-2023-43791](https://insights.sbomify.com/CVE-2023-43791/): Label Studio has Hardcoded Django `SECRET_KEY` that can be Abused to Forge Session Tokens (critical 9.8) - [CVE-2026-22033](https://insights.sbomify.com/CVE-2026-22033/): Label Studio vulnerable to full account takeover by chaining Stored XSS + IDOR in User Profile via custom_hotkeys field (high 8.6) - [CVE-2025-25297](https://insights.sbomify.com/CVE-2025-25297/): Label Studio allows Server-Side Request Forgery in the S3 Storage Endpoint (high 8.6) - [CVE-2025-47783](https://insights.sbomify.com/CVE-2025-47783/): label-studio vulnerable to Cross-Site Scripting (Reflected) via the label_config parameter. (high 7.6) - [CVE-2023-47117](https://insights.sbomify.com/CVE-2023-47117/): Object Relational Mapper Leak Vulnerability in Filtering Task in Label Studio (high 7.5) ## Fix prompt for AI coding agents ```text Check this codebase for CVE-2023-47115 and fix it if it is affected. What it is: CVE-2023-47115 is a high-severity cross-site scripting vulnerability in HumanSignal label-studio, published on 23 Jan 2024. An attacker can exploit it over the internet without logging in, and only if a user opens a file or follows a link. Exploitation: It is not confirmed as exploited in the wild, but public exploit code for CVE-2023-47115 exists. Affected packages and fixed versions: - label-studio (PyPI): affected all versions; fixed in 1.9.2 - label-studio (PyPI): affected all versions; fixed in 1.9.2 - label-studio (PyPI): affected all versions; fixed in 1.9.2 Task: 1. Search the dependency manifests and lockfiles (for example package.json, package-lock.json, requirements.txt, poetry.lock, uv.lock, pom.xml, build.gradle, go.mod, Cargo.lock, Gemfile.lock) and any Dockerfiles for the affected packages, including transitive dependencies. 2. If an affected version is in use, upgrade it to the fixed version for its release line with the project's package manager, so the lockfile is regenerated. Prefer the smallest upgrade that fixes it. 3. If there is no fix, or the upgrade would break the build, do not guess: explain the risk and the safest workaround instead. 4. Run the tests and summarise what changed and why. 5. If nothing in the project is affected, say so and change nothing. Reference: https://insights.sbomify.com/CVE-2023-47115/ (Markdown: https://insights.sbomify.com/CVE-2023-47115/index.md) ``` ## Sources - CVE record: https://www.cve.org/CVERecord?id=CVE-2023-47115 - NVD: https://nvd.nist.gov/vuln/detail/CVE-2023-47115 - OSV: https://osv.dev/vulnerability/CVE-2023-47115 --- From sbomify Insights: https://insights.sbomify.com/CVE-2023-47115/ Summaries are generated and may contain mistakes; the official description above is the record.