FKIE_CVE-2024-24594
Vulnerability from fkie_nvd - Published: 2024-02-06 15:15 - Updated: 2026-06-17 07:14
Severity
9.9 (Critical) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
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
A cross-site scripting (XSS) vulnerability in all versions of the web server component of Allegro AI’s ClearML platform allows a remote attacker to execute a JavaScript payload when a user views the Debug Samples tab in the web UI.
References
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "affected",
"packageName": "clearml-web",
"product": "ClearML",
"repo": "https://github.com/allegroai/clearml-web",
"vendor": "Allegro.AI",
"versions": [
{
"lessThanOrEqual": "*",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:clear:clearml:-:*:*:*:*:*:*:*",
"matchCriteriaId": "AD8EB0BF-75B9-4B0E-9129-0508A2742B27",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A cross-site scripting (XSS) vulnerability in all versions of the web server component of Allegro AI\u2019s ClearML platform allows a remote attacker to execute a JavaScript payload when a user views the Debug Samples tab in the web UI.\n"
},
{
"lang": "es",
"value": "Vulnerabilidad de cross-site scripting (XSS) en todas las versiones del componente del servidor web de la plataforma ClearML de Allegro AI, permite a un atacante remoto ejecutar un payload de JavaScript cuando un usuario ve la pesta\u00f1a Muestras de depuraci\u00f3n en la interfaz de usuario web."
}
],
"id": "CVE-2024-24594",
"lastModified": "2026-06-17T07:14:40.090",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.9,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.1,
"impactScore": 6.0,
"source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
"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"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2024-24594",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-02-07T15:56:34.905579Z",
"version": "2.0.3"
}
}
]
},
"published": "2024-02-06T15:15:10.203",
"references": [
{
"source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://hiddenlayer.com/research/not-so-clear-how-mlops-solutions-can-muddy-the-waters-of-your-supply-chain/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://hiddenlayer.com/research/not-so-clear-how-mlops-solutions-can-muddy-the-waters-of-your-supply-chain/"
}
],
"sourceIdentifier": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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