GSD-2024-26152
Vulnerability from gsd - Updated: 2024-02-15 06:02Details
### 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.
Aliases
{
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2024-26152"
],
"details": "### 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",
"id": "GSD-2024-26152",
"modified": "2024-02-15T06:02:25.094237Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2024-26152",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "label-studio",
"version": {
"version_data": [
{
"version_affected": "=",
"version_value": "\u003c 1.11.0"
}
]
}
}
]
},
"vendor_name": "HumanSignal"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"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"
}
]
},
"impact": {
"cvss": [
{
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.7,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:N/A:N",
"version": "3.1"
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"cweId": "CWE-79",
"lang": "eng",
"value": "CWE-79: Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/HumanSignal/label-studio/security/advisories/GHSA-6xv9-957j-qfhg",
"refsource": "MISC",
"url": "https://github.com/HumanSignal/label-studio/security/advisories/GHSA-6xv9-957j-qfhg"
},
{
"name": "https://github.com/HumanSignal/label-studio/pull/5232",
"refsource": "MISC",
"url": "https://github.com/HumanSignal/label-studio/pull/5232"
},
{
"name": "https://github.com/HumanSignal/label-studio/commit/5df9ae3828b98652e9fa290a19f4deedf51ef6c8",
"refsource": "MISC",
"url": "https://github.com/HumanSignal/label-studio/commit/5df9ae3828b98652e9fa290a19f4deedf51ef6c8"
},
{
"name": "https://github.com/HumanSignal/label-studio/releases/tag/1.11.0",
"refsource": "MISC",
"url": "https://github.com/HumanSignal/label-studio/releases/tag/1.11.0"
}
]
},
"source": {
"advisory": "GHSA-6xv9-957j-qfhg",
"discovery": "UNKNOWN"
}
},
"nvd.nist.gov": {
"cve": {
"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"
}
],
"id": "CVE-2024-26152",
"lastModified": "2024-02-23T02:42:54.547",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.7,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 1.4,
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
},
"published": "2024-02-22T22:15:47.310",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/HumanSignal/label-studio/commit/5df9ae3828b98652e9fa290a19f4deedf51ef6c8"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/HumanSignal/label-studio/pull/5232"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/HumanSignal/label-studio/releases/tag/1.11.0"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/HumanSignal/label-studio/security/advisories/GHSA-6xv9-957j-qfhg"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Awaiting Analysis",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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