Label Studio XSS Vulnerability on Data Import
Label Studio, an open source data labeling tool had a remote import feature allowed users to import data from a remote web source, that was downloaded and could be viewed on the website. Prior to version 1.10.1, this feature could had been abused to download a HTML file that executed malicious JavaScript code in the context of the Label Studio 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. `data_import/uploader.py` lines 125C5 through 146 showed that if a URL passed the server side request forgery verification checks, the contents of the file would be downloaded using the filename in the URL. The downloaded file path could then be retrieved by sending a request to `/api/projects/{project_id}/file-uploads?ids=[{download_id}]` where `{project_id}` was the ID of the project and `{download_id}` was the ID of the downloaded file. Once the downloaded file path was retrieved by the previous API endpoint, `data_import/api.py`lines 595C1 through 616C62 demonstrated that the `Content-Type` of the response was determined by the file extension, since `mimetypes.guess_type` guesses the `Content-Type` based on the file extension. Since the `Content-Type` was determined by the file extension of the downloaded file, an attacker could
- Products
- Not specified
- Affected versions
- Not specified
- Fixed versions
- Not specified
- CVEs
- CVE-2024-23633
- Confirmed fixed CVEs
- Not specified
- Updated in this feed
- 7 Nov 2026, 01:20 UTC · Revision 1
Source evidence
Label Studio XSS Vulnerability on Data Import
core-osv · Original sourcePublished 23 Jan 2024, 23:15 UTC
Label Studio, an open source data labeling tool had a remote import feature allowed users to import data from a remote web source, that was downloaded and could be viewed on the website. Prior to version 1.10.1, this feature could had been abused to download a HTML file that executed malicious JavaScript code in the context of the Label Studio 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. `data_import/uploader.py` lines 125C5 through 146 showed that if a URL passed the server side request forgery verification checks, the contents of the file would be downloaded using the filename in the URL. The downloaded file path could then be retrieved by sending a request to `/api/projects/{project_id}/file-uploads?ids=[{download_id}]` where `{project_id}` was the ID of the project and `{download_id}` was the ID of the downloaded file. Once the downloaded file path was retrieved by the previous API endpoint, `data_import/api.py`lines 595C1 through 616C62 demonstrated that the `Content-Type` of the response was determined by the file extension, since `mimetypes.guess_type` guesses the `Content-Type` based on the file extension. Since the `Content-Type` was determined by the file extension of the downloaded file, an attacker could
osv:CVE-2024-23633
Complete source record
{
"id": "acbaaf9beaf73bff64142add71d7ea288ebcccd1125f70e6e0289220673af87f",
"url": "https://osv.dev/vulnerability/CVE-2024-23633",
"method": "structured",
"payload": {
"kind": "advisory",
"title": "Label Studio XSS Vulnerability on Data Import",
"summary": "Label Studio, an open source data labeling tool had a remote import feature allowed users to import data from a remote web source, that was downloaded and could be viewed on the website. Prior to version 1.10.1, this feature could had been abused to download a HTML file that executed malicious JavaScript code in the context of the Label Studio 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. `data_import/uploader.py` lines 125C5 through 146 showed that if a URL passed the server side request forgery verification checks, the contents of the file would be downloaded using the filename in the URL. The downloaded file path could then be retrieved by sending a request to `/api/projects/{project_id}/file-uploads?ids=[{download_id}]` where `{project_id}` was the ID of the project and `{download_id}` was the ID of the downloaded file. Once the downloaded file path was retrieved by the previous API endpoint, `data_import/api.py`lines 595C1 through 616C62 demonstrated that the `Content-Type` of the response was determined by the file extension, since `mimetypes.guess_type` guesses the `Content-Type` based on the file extension. Since the `Content-Type` was determined by the file extension of the downloaded file, an attacker could",
"evidence": "osv:CVE-2024-23633",
"products": [],
"severity": "medium",
"structured": {
"id": "CVE-2024-23633",
"aliases": [
"CVE-2024-23633",
"GHSA-fq23-g58m-799r",
"PYSEC-2024-128"
],
"metrics": [
{
"type": "CVSS_V3",
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:N/A:N"
}
],
"affected": [
{
"ranges": [
{
"repo": "https://github.com/humansignal/label-studio",
"type": "GIT",
"events": [
{
"introduced": "0"
},
{
"fixed": "d7ca8b74f22c973dbe74a32ae639e845b9b34e66"
}
],
"database_specific": {
"extracted_events": [
{
"range": [
{
"introduced": "0"
},
{
"fixed": "1.10.1"
}
],
"source": "AFFECTED_FIELD",
"strategy": "StringRangeExpression"
},
{
"cpe": "cpe:2.3:a:humansignal:label_studio:*:*:*:*:*:*:*:*",
"range": [
{
"introduced": "0"
},
{
"fixed": "1.10.1"
}
],
"source": "CPE_RANGE"
}
]
}
}
],
"versions": [
"v1.4.1",
"v1.4.0",
"v1.3.0",
"v1.2.0",
"v1.1.1",
"v1.1.0",
"v1.0.2",
"v1.0.1",
"v1.0.0",
"v0.9.1.post1",
"v0.9.1.post0",
"v0.9.0.post5",
"v0.9.0.post4",
"v0.9.0.post3",
"v0.9.0",
"v0.8.2",
"v0.8.1",
"v0.8.0",
"v0.7.5.post0",
"v0.7.3",
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"v0.7.1",
"v0.7.0",
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"v0.4.8",
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"v.0.2.1-8",
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"v.0.2.1-4",
"v.0.2.1-3",
"v.0.2.1-2",
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"v.0.1.4",
"v.0.1.2",
"v.0.1.1",
"v.0.1.0"
],
"database_specific": {
"source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2024-23633.json"
}
}
],
"modified": "2026-10-28T02:30:48.965510070Z",
"provider": "osv",
"references": [
"https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Content-Security-Policy/sandbox",
"https://github.com/HumanSignal/label-studio/blob/1.9.2.post0/label_studio/data_import/api.py#L595C1-L616C62",
"https://github.com/HumanSignal/label-studio/blob/1.9.2.post0/label_studio/data_import/uploader.py#L125C5-L146",
"https://github.com/CVEProject/cvelistV5/tree/main/cves/2024/23xxx/CVE-2024-23633.json",
"https://github.com/HumanSignal/label-studio/security/advisories/GHSA-fq23-g58m-799r",
"https://nvd.nist.gov/vuln/detail/CVE-2024-23633"
],
"provider_metadata": {
"cwe_ids": [
"CWE-79"
],
"cna_assigner": "GitHub_M",
"osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2024/23xxx/CVE-2024-23633.json"
}
},
"related_cves": [
{
"value": "CVE-2024-23633",
"evidence": "/id"
}
],
"security_relevant": true,
"severity_evidence": "/severity/0/score"
},
"source_id": "core-osv",
"document_id": 516935,
"published_at": "2024-01-23T23:15:09.044+00:00"
}