{"dataType": "CVE_RECORD", "dataVersion": "5.0", "cveMetadata": {"cveId": "CVE-2024-24591", "assignerOrgId": "6f8de1f0-f67e-45a6-b68f-98777fdb759c", "state": "PUBLISHED", "assignerShortName": "HiddenLayer", "dateReserved": "2024-01-25T22:42:48.977Z", "datePublished": "2024-02-06T14:40:56.097Z", "dateUpdated": "2024-02-13T19:58:32.380Z"}, "containers": {"cna": {"affected": [{"defaultStatus": "unaffected", "packageName": "clearml", "product": "ClearML", "repo": "https://github.com/allegroai/clearml", "vendor": "Allegro.AI", "versions": [{"lessThan": "1.14.2", "status": "affected", "version": "1.4.0", "versionType": "custom"}]}], "datePublic": "2024-02-06T15:00:00.000Z", "descriptions": [{"lang": "en", "supportingMedia": [{"base64": false, "type": "text/html", "value": "<span style=\"background-color: rgb(255, 255, 255);\">A path traversal vulnerability in versions 1.4.0 to 1.14.1 of the client SDK of Allegro AI\u2019s ClearML platform enables a maliciously uploaded dataset to write local or remote files to an arbitrary location on an end user\u2019s system when interacted with.</span><br>"}], "value": "A path traversal vulnerability in versions 1.4.0 to 1.14.1 of the client SDK of Allegro AI\u2019s ClearML platform enables a maliciously uploaded dataset to write local or remote files to an arbitrary location on an end user\u2019s system when interacted with.\n"}], "impacts": [{"capecId": "CAPEC-126", "descriptions": [{"lang": "en", "value": "CAPEC-126 Path Traversal"}]}], "metrics": [{"cvssV3_1": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 8, "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"}, "format": "CVSS", "scenarios": [{"lang": "en", "value": "GENERAL"}]}], "problemTypes": [{"descriptions": [{"cweId": "CWE-22", "description": "CWE-22 Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')", "lang": "en", "type": "CWE"}]}], "providerMetadata": {"orgId": "6f8de1f0-f67e-45a6-b68f-98777fdb759c", "shortName": "HiddenLayer", "dateUpdated": "2024-02-13T19:58:32.380Z"}, "references": [{"url": "https://hiddenlayer.com/research/not-so-clear-how-mlops-solutions-can-muddy-the-waters-of-your-supply-chain/"}], "source": {"discovery": "UNKNOWN"}, "x_generator": {"engine": "Vulnogram 0.1.0-dev"}}}}

{"configurations": [{"nodes": [{"cpeMatch": [{"criteria": "cpe:2.3:a:clear:clearml:*:*:*:*:*:*:*:*", "matchCriteriaId": "8D066706-293A-46C9-BF61-DA1BA1A79E7C", "versionEndIncluding": "1.14.1", "versionStartIncluding": "1.4.0", "vulnerable": true}], "negate": false, "operator": "OR"}]}], "descriptions": [{"lang": "en", "value": "A path traversal vulnerability in versions 1.4.0 to 1.14.1 of the client SDK of Allegro AI\u2019s ClearML platform enables a maliciously uploaded dataset to write local or remote files to an arbitrary location on an end user\u2019s system when interacted with.\n"}, {"lang": "es", "value": "Vulnerabilidad de path traversal en la versi\u00f3n 1.4.0 o posterior de la plataforma ClearML de Allegro AI, permite que un conjunto de datos cargado maliciosamente escriba archivos locales o remotos en una ubicaci\u00f3n arbitraria en el sistema de un usuario final cuando interact\u00faa con \u00e9l."}], "id": "CVE-2024-24591", "lastModified": "2024-02-15T18:38:38.730", "metrics": {"cvssMetricV31": [{"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"}, {"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"}]}, "published": "2024-02-06T15:15:09.367", "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/"}], "sourceIdentifier": "6f8de1f0-f67e-45a6-b68f-98777fdb759c", "vulnStatus": "Analyzed", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-22"}], "source": "nvd@nist.gov", "type": "Primary"}, {"description": [{"lang": "en", "value": "CWE-22"}], "source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c", "type": "Secondary"}]}

{}