Vulnerabilites related to humansignal - label_studio
CVE-2023-47115 (GCVE-0-2023-47115)
Vulnerability from cvelistv5
Published
2024-01-23 22:49
Modified
2025-05-30 14:18
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Summary
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.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| HumanSignal | label-studio |
Version: < 1.9.2 |
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CVE-2025-25297 (GCVE-0-2025-25297)
Vulnerability from cvelistv5
Published
2025-02-14 19:25
Modified
2025-02-14 19:56
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Summary
Label Studio is an open source data labeling tool. Prior to version 1.16.0, Label Studio's S3 storage integration feature contains a Server-Side Request Forgery (SSRF) vulnerability in its endpoint configuration. When creating an S3 storage connection, the application allows users to specify a custom S3 endpoint URL via the s3_endpoint parameter. This endpoint URL is passed directly to the boto3 AWS SDK without proper validation or restrictions on the protocol or destination. The vulnerability allows an attacker to make the application send HTTP requests to arbitrary internal services by specifying them as the S3 endpoint. When the storage sync operation is triggered, the application attempts to make S3 API calls to the specified endpoint, effectively making HTTP requests to the target service and returning the response in error messages. This SSRF vulnerability enables attackers to bypass network segmentation and access internal services that should not be accessible from the external network. The vulnerability is particularly severe because error messages from failed requests contain the full response body, allowing data exfiltration from internal services. Version 1.16.0 contains a patch for the issue.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/HumanSignal/label-studio/security/advisories/GHSA-m238-fmcw-wh58 | x_refsource_CONFIRM | |
| https://github.com/HumanSignal/label-studio/commit/06a2b29c1208e1878ccae66e6b84c8b24598fa79 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| HumanSignal | label-studio |
Version: < 1.16.0 |
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CVE-2024-23633 (GCVE-0-2024-23633)
Vulnerability from cvelistv5
Published
2024-01-23 23:15
Modified
2024-11-13 15:24
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
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 import in a `.html` file that would execute JavaScript when visited.
Version 1.10.1 contains a patch for this issue. Other remediation strategies are also available. For all user provided files that are downloaded by Label Studio, set the `Content-Security-Policy: sandbox;` response header when viewed on the site. The `sandbox` directive restricts a page's actions to prevent popups, execution of plugins and scripts and enforces a `same-origin` policy. Alternatively, restrict the allowed file extensions that may be downloaded.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| HumanSignal | label-studio |
Version: < 1.10.1 |
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CVE-2023-47116 (GCVE-0-2023-47116)
Vulnerability from cvelistv5
Published
2024-01-31 16:21
Modified
2025-06-17 21:29
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Summary
Label Studio is a popular open source data labeling tool. The vulnerability affects all versions of Label Studio prior to 1.11.0 and was tested on version 1.8.2. Label Studio's SSRF protections that can be enabled by setting the `SSRF_PROTECTION_ENABLED` environment variable can be bypassed to access internal web servers. This is because the current SSRF validation is done by executing a single DNS lookup to verify that the IP address is not in an excluded subnet range. This protection can be bypassed by either using HTTP redirection or performing a DNS rebinding attack.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/HumanSignal/label-studio/security/advisories/GHSA-p59w-9gqw-wj8r | x_refsource_CONFIRM | |
| https://github.com/HumanSignal/label-studio/commit/55dd6af4716b92f2bb213fe461d1ffbc380c6a64 | x_refsource_MISC | |
| https://github.com/HumanSignal/label-studio/releases/tag/1.11.0 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| HumanSignal | label-studio |
Version: < 1.11.0 |
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CVE-2025-25296 (GCVE-0-2025-25296)
Vulnerability from cvelistv5
Published
2025-02-14 19:24
Modified
2025-02-14 20:01
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Summary
Label Studio is an open source data labeling tool. Prior to version 1.16.0, Label Studio's `/projects/upload-example` endpoint allows injection of arbitrary HTML through a `GET` request with an appropriately crafted `label_config` query parameter. By crafting a specially formatted XML label config with inline task data containing malicious HTML/JavaScript, an attacker can achieve Cross-Site Scripting (XSS). While the application has a Content Security Policy (CSP), it is only set in report-only mode, making it ineffective at preventing script execution. The vulnerability exists because the upload-example endpoint renders user-provided HTML content without proper sanitization on a GET request. This allows attackers to inject and execute arbitrary JavaScript in victims' browsers by getting them to visit a maliciously crafted URL. This is considered vulnerable because it enables attackers to execute JavaScript in victims' contexts, potentially allowing theft of sensitive data, session hijacking, or other malicious actions. Version 1.16.0 contains a patch for the issue.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/HumanSignal/label-studio/security/advisories/GHSA-wpq5-3366-mqw4 | x_refsource_CONFIRM | |
| https://github.com/HumanSignal/label-studio/commit/8cf6958e1e27ef6a03ed287e674470975d340885 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| HumanSignal | label-studio |
Version: < 1.16.0 |
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CVE-2023-43791 (GCVE-0-2023-43791)
Vulnerability from cvelistv5
Published
2023-11-09 14:42
Modified
2024-09-03 18:46
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor
Summary
Label Studio is a multi-type data labeling and annotation tool with standardized output format. There is a vulnerability that can be chained within the ORM Leak vulnerability to impersonate any account on Label Studio. An attacker could exploit these vulnerabilities to escalate their privileges from a low privilege user to a Django Super Administrator user. The vulnerability was found to affect versions before `1.8.2`, where a patch was introduced.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/HumanSignal/label-studio/security/advisories/GHSA-f475-x83m-rx5m | x_refsource_CONFIRM | |
| https://github.com/HumanSignal/label-studio/pull/4690 | x_refsource_MISC | |
| https://github.com/HumanSignal/label-studio/commit/3d06c5131c15600621e08b06f07d976887cde81b | x_refsource_MISC | |
| https://github.com/HumanSignal/label-studio/releases/tag/1.8.2 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| HumanSignal | label-studio |
Version: <= 1.8.1 |
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CVE-2025-47783 (GCVE-0-2025-47783)
Vulnerability from cvelistv5
Published
2025-05-14 23:01
Modified
2025-05-15 15:32
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Summary
Label Studio is a multi-type data labeling and annotation tool. A vulnerability in versions prior to 1.18.0 allows an attacker to inject a malicious script into the context of a web page, which can lead to data theft, session hijacking, unauthorized actions on behalf of the user, and other attacks. 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`. Version 1.18.0 contains a patch for the issue.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/HumanSignal/label-studio/security/advisories/GHSA-8jhr-wpcm-hh4h | x_refsource_CONFIRM |
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| HumanSignal | label-studio |
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CVE-2024-26152 (GCVE-0-2024-26152)
Vulnerability from cvelistv5
Published
2024-02-22 21:52
Modified
2024-08-14 15:32
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Summary
### 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`](https://labelstud.io/tags/choices) or [`Labels`](https://labelstud.io/tags/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
1. Create a project.
2. 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)>"
}
]
}
}
```
3. Select the text-to-image generation labeling template of Ranking and scoring
4. Select a task
5. 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.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/HumanSignal/label-studio/security/advisories/GHSA-6xv9-957j-qfhg | x_refsource_CONFIRM | |
| https://github.com/HumanSignal/label-studio/pull/5232 | x_refsource_MISC | |
| https://github.com/HumanSignal/label-studio/commit/5df9ae3828b98652e9fa290a19f4deedf51ef6c8 | x_refsource_MISC | |
| https://github.com/HumanSignal/label-studio/releases/tag/1.11.0 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| HumanSignal | label-studio |
Version: < 1.11.0 |
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CVE-2023-47117 (GCVE-0-2023-47117)
Vulnerability from cvelistv5
Published
2023-11-13 20:13
Modified
2025-01-08 21:12
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor
Summary
Label Studio is an open source data labeling tool. In all current versions of Label Studio prior to 1.9.2post0, the application allows users to insecurely set filters for filtering tasks. An attacker can construct a filter chain to filter tasks based on sensitive fields for all user accounts on the platform by exploiting Django's Object Relational Mapper (ORM). Since the results of query can be manipulated by the ORM filter, an attacker can leak these sensitive fields character by character. In addition, Label Studio had a hard coded secret key that an attacker can use to forge a session token of any user by exploiting this ORM Leak vulnerability to leak account password hashes. This vulnerability has been addressed in commit `f931d9d129` which is included in the 1.9.2post0 release. Users are advised to upgrade. There are no known workarounds for this vulnerability.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/HumanSignal/label-studio/security/advisories/GHSA-6hjj-gq77-j4qw | x_refsource_CONFIRM | |
| https://github.com/HumanSignal/label-studio/commit/f931d9d129002f54a495995774ce7384174cef5c | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| HumanSignal | label-studio |
Version: < 1.9.2post0 |
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Vulnerability from fkie_nvd
Published
2023-11-09 15:15
Modified
2024-11-21 08:24
Severity ?
9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Summary
Label Studio is a multi-type data labeling and annotation tool with standardized output format. There is a vulnerability that can be chained within the ORM Leak vulnerability to impersonate any account on Label Studio. An attacker could exploit these vulnerabilities to escalate their privileges from a low privilege user to a Django Super Administrator user. The vulnerability was found to affect versions before `1.8.2`, where a patch was introduced.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| humansignal | label_studio | * |
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"criteria": "cpe:2.3:a:humansignal:label_studio:*:*:*:*:*:*:*:*",
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},
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}
],
"id": "CVE-2023-43791",
"lastModified": "2024-11-21T08:24:47.447",
"metrics": {
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{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
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"baseScore": 9.8,
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"confidentialityImpact": "HIGH",
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"privilegesRequired": "NONE",
"scope": "UNCHANGED",
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},
"exploitabilityScore": 3.9,
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"source": "security-advisories@github.com",
"type": "Secondary"
},
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"type": "Primary"
}
]
},
"published": "2023-11-09T15:15:08.743",
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{
"source": "security-advisories@github.com",
"tags": [
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],
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},
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/HumanSignal/label-studio/pull/4690"
},
{
"source": "security-advisories@github.com",
"tags": [
"Release Notes"
],
"url": "https://github.com/HumanSignal/label-studio/releases/tag/1.8.2"
},
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Vendor Advisory"
],
"url": "https://github.com/HumanSignal/label-studio/security/advisories/GHSA-f475-x83m-rx5m"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
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],
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},
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"tags": [
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],
"url": "https://github.com/HumanSignal/label-studio/pull/4690"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Release Notes"
],
"url": "https://github.com/HumanSignal/label-studio/releases/tag/1.8.2"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Exploit",
"Vendor Advisory"
],
"url": "https://github.com/HumanSignal/label-studio/security/advisories/GHSA-f475-x83m-rx5m"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
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"lang": "en",
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"source": "security-advisories@github.com",
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}
Vulnerability from fkie_nvd
Published
2025-02-14 20:15
Modified
2025-08-25 01:17
Severity ?
8.6 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N
7.7 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N
7.7 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N
Summary
Label Studio is an open source data labeling tool. Prior to version 1.16.0, Label Studio's S3 storage integration feature contains a Server-Side Request Forgery (SSRF) vulnerability in its endpoint configuration. When creating an S3 storage connection, the application allows users to specify a custom S3 endpoint URL via the s3_endpoint parameter. This endpoint URL is passed directly to the boto3 AWS SDK without proper validation or restrictions on the protocol or destination. The vulnerability allows an attacker to make the application send HTTP requests to arbitrary internal services by specifying them as the S3 endpoint. When the storage sync operation is triggered, the application attempts to make S3 API calls to the specified endpoint, effectively making HTTP requests to the target service and returning the response in error messages. This SSRF vulnerability enables attackers to bypass network segmentation and access internal services that should not be accessible from the external network. The vulnerability is particularly severe because error messages from failed requests contain the full response body, allowing data exfiltration from internal services. Version 1.16.0 contains a patch for the issue.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| humansignal | label_studio | * |
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"value": "Label Studio is an open source data labeling tool. Prior to version 1.16.0, Label Studio\u0027s S3 storage integration feature contains a Server-Side Request Forgery (SSRF) vulnerability in its endpoint configuration. When creating an S3 storage connection, the application allows users to specify a custom S3 endpoint URL via the s3_endpoint parameter. This endpoint URL is passed directly to the boto3 AWS SDK without proper validation or restrictions on the protocol or destination. The vulnerability allows an attacker to make the application send HTTP requests to arbitrary internal services by specifying them as the S3 endpoint. When the storage sync operation is triggered, the application attempts to make S3 API calls to the specified endpoint, effectively making HTTP requests to the target service and returning the response in error messages. This SSRF vulnerability enables attackers to bypass network segmentation and access internal services that should not be accessible from the external network. The vulnerability is particularly severe because error messages from failed requests contain the full response body, allowing data exfiltration from internal services. Version 1.16.0 contains a patch for the issue."
},
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"lang": "es",
"value": "Label Studio es una herramienta de etiquetado de datos de c\u00f3digo abierto. Antes de la versi\u00f3n 1.16.0, la funci\u00f3n de integraci\u00f3n de almacenamiento S3 de Label Studio contiene una vulnerabilidad de Server-Side Request Forgery (SSRF) en su configuraci\u00f3n de endpoint. Al crear una conexi\u00f3n de almacenamiento S3, la aplicaci\u00f3n permite a los usuarios especificar una URL de endpoint S3 personalizada a trav\u00e9s del par\u00e1metro s3_endpoint. Esta URL de endpoint se pasa directamente al SDK de AWS de boto3 sin la validaci\u00f3n adecuada ni restricciones en el protocolo o el destino. La vulnerabilidad permite a un atacante hacer que la aplicaci\u00f3n env\u00ede solicitudes HTTP a servicios internos arbitrarios al especificarlos como el endpoint S3. Cuando se activa la operaci\u00f3n de sincronizaci\u00f3n de almacenamiento, la aplicaci\u00f3n intenta realizar llamadas a la API S3 al endpoint especificado, lo que efectivamente realiza solicitudes HTTP al servicio de destino y devuelve la respuesta en mensajes de error. Esta vulnerabilidad SSRF permite a los atacantes eludir la segmentaci\u00f3n de la red y acceder a servicios internos que no deber\u00edan ser accesibles desde la red externa. La vulnerabilidad es particularmente grave porque los mensajes de error de las solicitudes fallidas contienen el cuerpo completo de la respuesta, lo que permite la exfiltraci\u00f3n de datos de los servicios internos. La versi\u00f3n 1.16.0 contiene un parche para el problema."
}
],
"id": "CVE-2025-25297",
"lastModified": "2025-08-25T01:17:33.247",
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Vulnerability from fkie_nvd
Published
2023-11-13 21:15
Modified
2024-11-21 08:29
Severity ?
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Summary
Label Studio is an open source data labeling tool. In all current versions of Label Studio prior to 1.9.2post0, the application allows users to insecurely set filters for filtering tasks. An attacker can construct a filter chain to filter tasks based on sensitive fields for all user accounts on the platform by exploiting Django's Object Relational Mapper (ORM). Since the results of query can be manipulated by the ORM filter, an attacker can leak these sensitive fields character by character. In addition, Label Studio had a hard coded secret key that an attacker can use to forge a session token of any user by exploiting this ORM Leak vulnerability to leak account password hashes. This vulnerability has been addressed in commit `f931d9d129` which is included in the 1.9.2post0 release. Users are advised to upgrade. There are no known workarounds for this vulnerability.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| humansignal | label_studio | * | |
| humansignal | label_studio | 1.9.2 |
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},
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"lang": "es",
"value": "Label Studio es una herramienta de etiquetado de datos de c\u00f3digo abierto. En todas las versiones actuales de Label Studio anteriores a la 1.9.2post0, la aplicaci\u00f3n permite a los usuarios configurar filtros de forma insegura para tareas de filtrado. Un atacante puede construir una cadena de filtros para filtrar tareas basadas en campos confidenciales para todas las cuentas de usuario en la plataforma explotando el Object Relational Mapper (ORM) de Django. Dado que los resultados de la consulta pueden ser manipulados por el filtro ORM, un atacante puede filtrar estos campos confidenciales car\u00e1cter por car\u00e1cter. Adem\u00e1s, Label Studio ten\u00eda una clave secreta codificada que un atacante puede usar para falsificar un token de sesi\u00f3n de cualquier usuario explotando esta vulnerabilidad de fuga de ORM para filtrar hashes de contrase\u00f1as de cuentas. Esta vulnerabilidad se solucion\u00f3 en el commit `f931d9d129` que se incluye en la versi\u00f3n 1.9.2post0. Se recomienda a los usuarios que actualicen. No se conocen workarounds para esta vulnerabilidad."
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"id": "CVE-2023-47117",
"lastModified": "2024-11-21T08:29:48.757",
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Vulnerability from fkie_nvd
Published
2024-01-24 00:15
Modified
2024-11-21 08:58
Severity ?
4.7 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:N/A:N
6.1 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
6.1 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
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 import in a `.html` file that would execute JavaScript when visited.
Version 1.10.1 contains a patch for this issue. Other remediation strategies are also available. For all user provided files that are downloaded by Label Studio, set the `Content-Security-Policy: sandbox;` response header when viewed on the site. The `sandbox` directive restricts a page's actions to prevent popups, execution of plugins and scripts and enforces a `same-origin` policy. Alternatively, restrict the allowed file extensions that may be downloaded.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| humansignal | label_studio | * |
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"value": "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.\n\n`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 import in a `.html` file that would execute JavaScript when visited.\n\nVersion 1.10.1 contains a patch for this issue. Other remediation strategies are also available. For all user provided files that are downloaded by Label Studio, set the `Content-Security-Policy: sandbox;` response header when viewed on the site. The `sandbox` directive restricts a page\u0027s actions to prevent popups, execution of plugins and scripts and enforces a `same-origin` policy. Alternatively, restrict the allowed file extensions that may be downloaded."
},
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"lang": "es",
"value": "Label Studio, una herramienta de etiquetado de datos de c\u00f3digo abierto, ten\u00eda una funci\u00f3n de importaci\u00f3n remota que permit\u00eda a los usuarios importar datos desde una fuente web remota, que se descargaba y se pod\u00eda ver en el sitio web. Antes de la versi\u00f3n 1.10.1, se pod\u00eda abusar de esta caracter\u00edstica para descargar un archivo HTML que ejecutaba c\u00f3digo JavaScript malicioso en el contexto del sitio web de Label Studio. La ejecuci\u00f3n de JavaScript arbitrario podr\u00eda provocar que un atacante realice acciones maliciosas en los usuarios de Label Studio si visitan la imagen de avatar creada. Por ejemplo, un atacante puede crear un payload de JavaScript que agregue un nuevo usuario de Superadministrador de Django si un administrador de Django visita la imagen. Las l\u00edneas 125C5 a 146 de `data_import/uploader.py` mostraban que si una URL pasaba las verificaciones de verificaci\u00f3n de server side request forgery, el contenido del archivo se descargar\u00eda usando el nombre de archivo en la URL. La ruta del archivo descargado podr\u00eda recuperarse enviando una solicitud a `/api/projects/{project_id}/file-uploads?ids=[{download_id}]` donde `{project_id}` era el ID del proyecto y `{ download_id}` era el ID del archivo descargado. Una vez que el endpoint API anterior recuper\u00f3 la ruta del archivo descargado, las l\u00edneas `data_import/api.py` 595C1 a 616C62 demostraron que el `Content-Type` de la respuesta estaba determinado por la extensi\u00f3n del archivo, ya que `mimetypes.guess_type` adivina el `Tipo de contenido` basado en la extensi\u00f3n del archivo. Dado que el \"Tipo de contenido\" estaba determinado por la extensi\u00f3n del archivo descargado, un atacante podr\u00eda importar un archivo \".html\" que ejecutar\u00eda JavaScript cuando lo visitara. La versi\u00f3n 1.10.1 contiene un parche para este problema. Tambi\u00e9n se encuentran disponibles otras estrategias de remediaci\u00f3n. Para todos los archivos proporcionados por el usuario que Label Studio descarga, configure el encabezado de respuesta `Content-Security-Policy: sandbox;` cuando se vea en el sitio. La directiva `sandbox` restringe las acciones de una p\u00e1gina para evitar ventanas emergentes, la ejecuci\u00f3n de complementos y scripts y aplica una pol\u00edtica de `mismo origen`. Alternativamente, restrinja las extensiones de archivos permitidas que se pueden descargar."
}
],
"id": "CVE-2024-23633",
"lastModified": "2024-11-21T08:58:02.923",
"metrics": {
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"published": "2024-01-24T00:15:08.373",
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{
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"Product"
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"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
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"url": "https://github.com/HumanSignal/label-studio/blob/1.9.2.post0/label_studio/data_import/uploader.py#L125C5-L146"
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"type": "Secondary"
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"description": [
{
"lang": "en",
"value": "CWE-79"
}
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"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
Vulnerability from fkie_nvd
Published
2025-05-14 23:15
Modified
2025-08-22 20:24
Severity ?
Summary
Label Studio is a multi-type data labeling and annotation tool. A vulnerability in versions prior to 1.18.0 allows an attacker to inject a malicious script into the context of a web page, which can lead to data theft, session hijacking, unauthorized actions on behalf of the user, and other attacks. 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`. Version 1.18.0 contains a patch for the issue.
References
| ▼ | URL | Tags | |
|---|---|---|---|
| security-advisories@github.com | https://github.com/HumanSignal/label-studio/security/advisories/GHSA-8jhr-wpcm-hh4h | Exploit, Vendor Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| humansignal | label_studio | * |
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},
{
"lang": "es",
"value": "Label Studio es una herramienta de etiquetado y anotaci\u00f3n de datos multitipo. Una vulnerabilidad en versiones anteriores a la 1.18.0 permite a un atacante inyectar un script malicioso en el contexto de una p\u00e1gina web, lo que puede provocar robo de datos, secuestro de sesi\u00f3n, acciones no autorizadas por parte del usuario y otros ataques. La vulnerabilidad se reproduce al enviar una solicitud con el formato correcto al endpoint `POST /projects/upload-example/`. En el c\u00f3digo fuente, la vulnerabilidad se encuentra en `label_studio/projects/views.py`. La versi\u00f3n 1.18.0 contiene un parche para este problema."
}
],
"id": "CVE-2025-47783",
"lastModified": "2025-08-22T20:24:03.367",
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}
Vulnerability from fkie_nvd
Published
2025-02-14 20:15
Modified
2025-08-25 01:15
Severity ?
Summary
Label Studio is an open source data labeling tool. Prior to version 1.16.0, Label Studio's `/projects/upload-example` endpoint allows injection of arbitrary HTML through a `GET` request with an appropriately crafted `label_config` query parameter. By crafting a specially formatted XML label config with inline task data containing malicious HTML/JavaScript, an attacker can achieve Cross-Site Scripting (XSS). While the application has a Content Security Policy (CSP), it is only set in report-only mode, making it ineffective at preventing script execution. The vulnerability exists because the upload-example endpoint renders user-provided HTML content without proper sanitization on a GET request. This allows attackers to inject and execute arbitrary JavaScript in victims' browsers by getting them to visit a maliciously crafted URL. This is considered vulnerable because it enables attackers to execute JavaScript in victims' contexts, potentially allowing theft of sensitive data, session hijacking, or other malicious actions. Version 1.16.0 contains a patch for the issue.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| humansignal | label_studio | * |
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"criteria": "cpe:2.3:a:humansignal:label_studio:*:*:*:*:*:*:*:*",
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"versionEndExcluding": "1.16.0",
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"value": "Label Studio is an open source data labeling tool. Prior to version 1.16.0, Label Studio\u0027s `/projects/upload-example` endpoint allows injection of arbitrary HTML through a `GET` request with an appropriately crafted `label_config` query parameter. By crafting a specially formatted XML label config with inline task data containing malicious HTML/JavaScript, an attacker can achieve Cross-Site Scripting (XSS). While the application has a Content Security Policy (CSP), it is only set in report-only mode, making it ineffective at preventing script execution. The vulnerability exists because the upload-example endpoint renders user-provided HTML content without proper sanitization on a GET request. This allows attackers to inject and execute arbitrary JavaScript in victims\u0027 browsers by getting them to visit a maliciously crafted URL. This is considered vulnerable because it enables attackers to execute JavaScript in victims\u0027 contexts, potentially allowing theft of sensitive data, session hijacking, or other malicious actions. Version 1.16.0 contains a patch for the issue."
},
{
"lang": "es",
"value": "Label Studio es una herramienta de etiquetado de datos de c\u00f3digo abierto. Antes de la versi\u00f3n 1.16.0, el punto de conexi\u00f3n `/projects/upload-example` de Label Studio permite la inyecci\u00f3n de HTML arbitrario a trav\u00e9s de una solicitud `GET` con un par\u00e1metro de consulta `label_config` manipulado de forma adecuada. Al manipular una configuraci\u00f3n de etiqueta XML con un formato especial con datos de tareas en l\u00ednea que contienen HTML/JavaScript malicioso, un atacante puede lograr Cross-Site Scripting (XSS). Si bien la aplicaci\u00f3n tiene una Pol\u00edtica de seguridad de contenido (CSP), solo est\u00e1 configurada en modo de solo informes, lo que la hace ineficaz para evitar la ejecuci\u00f3n de scripts. La vulnerabilidad existe porque el punto de conexi\u00f3n upload-example muestra contenido HTML proporcionado por el usuario sin la depuraci\u00f3n adecuada en una solicitud GET. Esto permite a los atacantes inyectar y ejecutar JavaScript arbitrario en los navegadores de las v\u00edctimas al hacer que visiten una URL manipulada de forma maliciosa. Esto se considera vulnerable porque permite a los atacantes ejecutar JavaScript en los contextos de las v\u00edctimas, lo que potencialmente permite el robo de datos confidenciales, el secuestro de sesiones u otras acciones maliciosas. La versi\u00f3n 1.16.0 contiene un parche para el problema."
}
],
"id": "CVE-2025-25296",
"lastModified": "2025-08-25T01:15:44.783",
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}
Vulnerability from fkie_nvd
Published
2024-01-31 17:15
Modified
2024-11-21 08:29
Severity ?
5.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
5.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
5.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Summary
Label Studio is a popular open source data labeling tool. The vulnerability affects all versions of Label Studio prior to 1.11.0 and was tested on version 1.8.2. Label Studio's SSRF protections that can be enabled by setting the `SSRF_PROTECTION_ENABLED` environment variable can be bypassed to access internal web servers. This is because the current SSRF validation is done by executing a single DNS lookup to verify that the IP address is not in an excluded subnet range. This protection can be bypassed by either using HTTP redirection or performing a DNS rebinding attack.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| humansignal | label_studio | * |
{
"configurations": [
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"cpeMatch": [
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"criteria": "cpe:2.3:a:humansignal:label_studio:*:*:*:*:*:*:*:*",
"matchCriteriaId": "27567917-A7FB-4767-B9F6-6C8D422D62E7",
"versionEndExcluding": "1.11.0",
"vulnerable": true
}
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"descriptions": [
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"lang": "en",
"value": "Label Studio is a popular open source data labeling tool. The vulnerability affects all versions of Label Studio prior to 1.11.0 and was tested on version 1.8.2. Label Studio\u0027s SSRF protections that can be enabled by setting the `SSRF_PROTECTION_ENABLED` environment variable can be bypassed to access internal web servers. This is because the current SSRF validation is done by executing a single DNS lookup to verify that the IP address is not in an excluded subnet range. This protection can be bypassed by either using HTTP redirection or performing a DNS rebinding attack."
},
{
"lang": "es",
"value": "Label Studio es una popular herramienta de etiquetado de datos de c\u00f3digo abierto. La vulnerabilidad afecta a todas las versiones de Label Studio anteriores a la 1.11.0 y se prob\u00f3 en la versi\u00f3n 1.8.2. Las protecciones SSRF de Label Studio que se pueden habilitar configurando la variable de entorno `SSRF_PROTECTION_ENABLED` se pueden omitir para acceder a los servidores web internos. Esto se debe a que la validaci\u00f3n SSRF actual se realiza ejecutando una \u00fanica b\u00fasqueda de DNS para verificar que la direcci\u00f3n IP no est\u00e9 en un rango de subred excluido. Esta protecci\u00f3n se puede omitir utilizando la redirecci\u00f3n HTTP o realizando un ataque de vinculaci\u00f3n de DNS."
}
],
"id": "CVE-2023-47116",
"lastModified": "2024-11-21T08:29:48.630",
"metrics": {
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"published": "2024-01-31T17:15:13.370",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
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"url": "https://github.com/HumanSignal/label-studio/commit/55dd6af4716b92f2bb213fe461d1ffbc380c6a64"
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{
"source": "security-advisories@github.com",
"tags": [
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],
"url": "https://github.com/HumanSignal/label-studio/releases/tag/1.11.0"
},
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"tags": [
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},
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}
],
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"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-918"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-918"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
Vulnerability from fkie_nvd
Published
2024-02-22 22:15
Modified
2025-05-16 14:18
Severity ?
4.7 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:N/A:N
6.1 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
6.1 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
Summary
### 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`](https://labelstud.io/tags/choices) or [`Labels`](https://labelstud.io/tags/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
1. Create a project.
2. 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)>"
}
]
}
}
```
3. Select the text-to-image generation labeling template of Ranking and scoring
4. Select a task
5. 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.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| humansignal | label_studio | * |
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"matchCriteriaId": "27567917-A7FB-4767-B9F6-6C8D422D62E7",
"versionEndExcluding": "1.11.0",
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"descriptions": [
{
"lang": "en",
"value": "### Summary\nOn 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`](https://labelstud.io/tags/choices) or [`Labels`](https://labelstud.io/tags/labels) tag, resulting in an XSS vulnerability.\n\n### Details\nNeed permission to use the \"data import\" function. This was reproduced on Label Studio 1.10.1.\n\n### PoC\n\n1. Create a project.\n\n\n2. Upload a file containing the payload using the \"Upload Files\" function.\n\n\n\nThe following are the contents of the files used in the PoC\n```\n{\n \"data\": {\n \"prompt\": \"labelstudio universe image\",\n \"images\": [\n {\n \"value\": \"id123#0\",\n \"style\": \"margin: 5px\",\n \"html\": \"\u003cimg width=\u0027400\u0027 src=\u0027https://labelstud.io/_astro/images-tab.64279c16_ZaBSvC.avif\u0027 onload=alert(document.cookie)\u003e\"\n }\n ]\n }\n}\n```\n\n3. Select the text-to-image generation labeling template of Ranking and scoring\n\n\n\n4. Select a task\n\n\n5. Check that the script is running\n\n\n### Impact\nMalicious 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.\n"
},
{
"lang": "es",
"value": "### Resumen En todas las versiones de Label Studio anteriores a la 1.11.0, los datos importados mediante la funci\u00f3n de carga de archivos no se desinfectan adecuadamente antes de procesarse dentro de [`Choices`](https://labelstud.io/tags/choices) o [`Labels`](https://labelstud.io/tags/labels), lo que genera una vulnerabilidad XSS. ### Detalles Necesita permiso para utilizar la funci\u00f3n \"importaci\u00f3n de datos\". Esto fue reproducido en Label Studio 1.10.1. ### PoC 1. Cree un proyecto.  2. Cargue un archivo que contenga la carga \u00fatil usando la funci\u00f3n \"Cargar archivos\" .   Los siguientes son los contenidos de los archivos utilizados en el PoC ``` { \"data\": { \" Prompt\": \"imagen del universo de labelstudio\", \"images\": [ { \"value\": \"id123#0\", \"style\": \"margin: 5px\", \"html\": \"\" } ] } } ``` 3. Seleccione la plantilla de etiquetado de generaci\u00f3n de texto a imagen de Clasificaci\u00f3n y puntuaci\u00f3n 4. \u00a1Seleccione una tarea! [4 Seleccione una tarea](https://github.com/HumanSignal/label-studio/assets/3943358/71856b7a-2b1f-44ea-99ab-fc48bc20caa7) 5. \u00a1Compruebe que el script se est\u00e9 ejecutando! [5 Compruebe que el script se est\u00e9 ejecutando](https://github.com/ HumanSignal/label-studio/assets/3943358/e396ae7b-a591-4db7-afe9-5bab30b48cb9) ### Impacto Se pueden inyectar scripts maliciosos en el c\u00f3digo y, cuando se vinculan con vulnerabilidades como CSRF, pueden causar un da\u00f1o a\u00fan mayor. En particular, puede convertirse en una fuente de nuevos ataques, especialmente cuando se vincula a la ingenier\u00eda social."
}
],
"id": "CVE-2024-26152",
"lastModified": "2025-05-16T14:18:25.530",
"metrics": {
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"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 2.7,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2024-02-22T22:15:47.310",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/HumanSignal/label-studio/commit/5df9ae3828b98652e9fa290a19f4deedf51ef6c8"
},
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/HumanSignal/label-studio/pull/5232"
},
{
"source": "security-advisories@github.com",
"tags": [
"Release Notes"
],
"url": "https://github.com/HumanSignal/label-studio/releases/tag/1.11.0"
},
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Vendor Advisory"
],
"url": "https://github.com/HumanSignal/label-studio/security/advisories/GHSA-6xv9-957j-qfhg"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch"
],
"url": "https://github.com/HumanSignal/label-studio/commit/5df9ae3828b98652e9fa290a19f4deedf51ef6c8"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch"
],
"url": "https://github.com/HumanSignal/label-studio/pull/5232"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Release Notes"
],
"url": "https://github.com/HumanSignal/label-studio/releases/tag/1.11.0"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Exploit",
"Vendor Advisory"
],
"url": "https://github.com/HumanSignal/label-studio/security/advisories/GHSA-6xv9-957j-qfhg"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
Vulnerability from fkie_nvd
Published
2024-01-23 23:15
Modified
2024-11-21 08:29
Severity ?
7.1 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:L
5.4 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N
5.4 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N
Summary
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.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| humansignal | label_studio | * |
{
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:humansignal:label_studio:*:*:*:*:*:*:*:*",
"matchCriteriaId": "326DCEFD-7346-4651-80AD-728FE9E4BD87",
"versionEndExcluding": "1.9.2",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "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.\n\nThe 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\u0027s built-in `serve` view, which is not secure for production use according to Django\u0027s 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.\n\nVersion 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\u0027s `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."
},
{
"lang": "es",
"value": "Label Studio es una popular herramienta de etiquetado de datos de c\u00f3digo abierto. Las versiones anteriores a la 1.9.2 tienen una vulnerabilidad de cross-site scripting (XSS) que podr\u00eda explotarse cuando un usuario autenticado carga un archivo de imagen manipulado para su avatar que se representa como un archivo HTML en el sitio web. La ejecuci\u00f3n de JavaScript arbitrario podr\u00eda provocar que un atacante realice acciones maliciosas en los usuarios de Label Studio si visitan la imagen de avatar creada. Por ejemplo, un atacante puede crear un payload de JavaScript que agregue un nuevo usuario de Superadministrador de Django si un administrador de Django visita la imagen. Las l\u00edneas 18-49 del archivo `users/functions.py` muestran que la \u00fanica verificaci\u00f3n de verificaci\u00f3n es que el archivo es una imagen extrayendo las dimensiones del archivo. Label Studio sirve im\u00e1genes de avatar utilizando la vista \"servir\" incorporada de Django, que no es segura para uso en producci\u00f3n seg\u00fan la documentaci\u00f3n de Django. El problema con la vista `serve` de Django es que determina el `Tipo de contenido` de la respuesta por la extensi\u00f3n del archivo en la ruta URL. Por lo tanto, un atacante puede cargar una imagen que contenga c\u00f3digo HTML malicioso y nombrar el archivo con una extensi\u00f3n \".html\" para que se represente como una p\u00e1gina HTML. La \u00fanica validaci\u00f3n de la extensi\u00f3n de archivo se realiza en el lado del cliente, lo que se puede omitir f\u00e1cilmente. La versi\u00f3n 1.9.2 soluciona este problema. Otras estrategias de correcci\u00f3n incluyen validar la extensi\u00f3n del archivo en el lado del servidor, no en el c\u00f3digo del lado del cliente; eliminar el uso de la vista `serve` de Django e implementar un controlador seguro para ver las im\u00e1genes de avatar cargadas; guardar el contenido del archivo en la base de datos en lugar de en el sistema de archivos para mitigar otras vulnerabilidades relacionadas con los archivos; y evitar confiar en las entradas controladas por el usuario."
}
],
"id": "CVE-2023-47115",
"lastModified": "2024-11-21T08:29:48.500",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:L",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.7,
"source": "security-advisories@github.com",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.3,
"impactScore": 2.7,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2024-01-23T23:15:08.100",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Not Applicable"
],
"url": "https://docs.djangoproject.com/en/4.2/ref/views/#serving-files-in-development"
},
{
"source": "security-advisories@github.com",
"tags": [
"Product"
],
"url": "https://github.com/HumanSignal/label-studio/blob/1.8.2/label_studio/users/functions.py#L18-L49"
},
{
"source": "security-advisories@github.com",
"tags": [
"Product"
],
"url": "https://github.com/HumanSignal/label-studio/blob/1.8.2/label_studio/users/urls.py#L25-L26"
},
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/HumanSignal/label-studio/commit/a7a71e594f32ec4af8f3f800d5ccb8662e275da3"
},
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://github.com/HumanSignal/label-studio/security/advisories/GHSA-q68h-xwq5-mm7x"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Not Applicable"
],
"url": "https://docs.djangoproject.com/en/4.2/ref/views/#serving-files-in-development"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Product"
],
"url": "https://github.com/HumanSignal/label-studio/blob/1.8.2/label_studio/users/functions.py#L18-L49"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Product"
],
"url": "https://github.com/HumanSignal/label-studio/blob/1.8.2/label_studio/users/urls.py#L25-L26"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch"
],
"url": "https://github.com/HumanSignal/label-studio/commit/a7a71e594f32ec4af8f3f800d5ccb8662e275da3"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://github.com/HumanSignal/label-studio/security/advisories/GHSA-q68h-xwq5-mm7x"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}