FKIE_CVE-2024-24590
Vulnerability from fkie_nvd - Published: 2024-02-06 15:15 - Updated: 2026-06-17 07:14
Severity
8.0 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Summary
Deserialization of untrusted data can occur in versions 0.17.0 to 1.14.2 of the client SDK of Allegro AI’s ClearML platform, enabling a maliciously uploaded artifact to run arbitrary code on an end user’s system when interacted with.
References
| URL | Tags | ||
|---|---|---|---|
| 6f8de1f0-f67e-45a6-b68f-98777fdb759c | https://hiddenlayer.com/research/not-so-clear-how-mlops-solutions-can-muddy-the-waters-of-your-supply-chain/ | Exploit, Technical Description, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://hiddenlayer.com/research/not-so-clear-how-mlops-solutions-can-muddy-the-waters-of-your-supply-chain/ | Exploit, Technical Description, Third Party Advisory |
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "affected",
"packageName": "clearml",
"product": "ClearML",
"repo": "https://github.com/allegroai/clearml",
"vendor": "Allegro.AI",
"versions": [
{
"lessThan": "1.14.3",
"status": "affected",
"version": "0.17.0",
"versionType": "custom"
}
]
}
],
"source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:clear:clearml:*:*:*:*:*:*:*:*",
"matchCriteriaId": "E6977435-CDE5-4CE8-B6CA-A302E5841FF2",
"versionEndIncluding": "1.14.2",
"versionStartIncluding": "0.17.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Deserialization of untrusted data can occur in versions 0.17.0 to 1.14.2 of the client SDK of Allegro AI\u2019s ClearML platform, enabling a maliciously uploaded artifact to run arbitrary code on an end user\u2019s system when interacted with.\n"
},
{
"lang": "es",
"value": "La deserializaci\u00f3n de datos que no son de confianza puede ocurrir en la versi\u00f3n 0.17.0 o posterior de la plataforma ClearML de Allegro AI, lo que permite que un artefacto cargado maliciosamente ejecute c\u00f3digo arbitrario en el sistema de un usuario final cuando interact\u00faa con \u00e9l."
}
],
"id": "CVE-2024-24590",
"lastModified": "2026-06-17T07:14:39.610",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.0,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.1,
"impactScore": 5.9,
"source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2024-24590",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-02-08T20:45:46.046209Z",
"version": "2.0.3"
}
}
]
},
"published": "2024-02-06T15:15:09.100",
"references": [
{
"source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
"tags": [
"Exploit",
"Technical Description",
"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",
"Technical Description",
"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-502"
}
],
"source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-502"
}
],
"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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