Label Studio vulnerable to Cross-site Scripting if `<Choices>` or `<Labels>` are used in labeling configGHSA-6xv9-957j-qfhg
MEDIUMFix: HumanSignal/label-studio#5232GHSA-6xv9-957j-qfhg is a medium-severity (CVSS 4.7) Cross-site Scripting (XSS) vulnerability in label-studio. A fix is available for label-studio — see the affected versions and patch details below.
Exploitation Status
Proof-of-concept exploit code exists
- CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
Exploitation and automatability from CISA’s SSVC triage for GHSA-6xv9-957j-qfhg.
EPSS Exploitation Probability
Probability of exploitation in the next 30 days, from FIRST.org EPSS.
How urgent is this, really
Where this sits among everything scored
Real-World Exposure
label-studioReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
Description
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 or 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
-
Create a project.
-
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": "labelstudio universe image",
"images": [
{
"value": "id123#0",
"style": "margin: 5px",
"html": "<img width='400' src='https://labelstud.io/_astro/images-tab.64279c16_ZaBSvC.avif' onload=alert(document.cookie)>"
}
]
}
}
-
Select the text-to-image generation labeling template of Ranking and scoring
-
Select a task
-
Check that the script is running
Impact
Malicious scripts can be injected into the code, and when linked with vulnerabilities such as CSRF, it can cause even greater damage. In particular, It can become a source of further attacks, especially when linked to social engineering.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | label-studio | all versions | 1.11.0pip install --upgrade 'label-studio==1.11.0' |
Affected Products
label studiohumansignalDetection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for label-studio, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update label-studio to 1.11.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-6xv9-957j-qfhg is resolved across your whole dependency graph.
Workarounds
Escape or sanitise the affected output on the server side rather than relying on client-side filtering, and add a Content-Security-Policy that blocks inline script execution so injected markup cannot run even if it reaches the page.
Frequently Asked Questions
Is GHSA-6xv9-957j-qfhg in your dependencies?
Find it across PyPI, including transitive dependencies.