cve-2024-3573
Vulnerability from cvelistv5
Published
2024-04-16 00:00
Modified
2024-08-01 20:12
Severity ?
Summary
Local File Inclusion (LFI) via Scheme Confusion in mlflow/mlflow
Impacted products
mlflowmlflow/mlflow
Show details on NVD website


{
  "containers": {
    "adp": [
      {
        "affected": [
          {
            "cpes": [
              "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*"
            ],
            "defaultStatus": "unknown",
            "product": "mlflow",
            "vendor": "lfprojects",
            "versions": [
              {
                "lessThan": "2.10.0",
                "status": "affected",
                "version": "0",
                "versionType": "custom"
              }
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          }
        ],
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2024-3573",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2024-06-17T19:40:10.330743Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2024-07-24T17:16:49.625Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      },
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-01T20:12:07.901Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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        "references": [
          {
            "tags": [
              "x_transferred"
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            "url": "https://huntr.com/bounties/8ea058a7-4ef8-4baf-9198-bc0147fc543c"
          },
          {
            "tags": [
              "x_transferred"
            ],
            "url": "https://github.com/mlflow/mlflow/commit/438a450714a3ca06285eeea34bdc6cf79d7f6cbc"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "mlflow/mlflow",
          "vendor": "mlflow",
          "versions": [
            {
              "lessThan": "2.10.0",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "mlflow/mlflow is vulnerable to Local File Inclusion (LFI) due to improper parsing of URIs, allowing attackers to bypass checks and read arbitrary files on the system. The issue arises from the \u0027is_local_uri\u0027 function\u0027s failure to properly handle URIs with empty or \u0027file\u0027 schemes, leading to the misclassification of URIs as non-local. Attackers can exploit this by crafting malicious model versions with specially crafted \u0027source\u0027 parameters, enabling the reading of sensitive files within at least two directory levels from the server\u0027s root."
        }
      ],
      "metrics": [
        {
          "cvssV3_0": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 9.3,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "LOW",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N",
            "version": "3.0"
          }
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      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-29",
              "description": "CWE-29 Path Traversal: \u0027\\..\\filename\u0027",
              "lang": "en",
              "type": "CWE"
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      "providerMetadata": {
        "dateUpdated": "2024-04-16T11:10:56.255Z",
        "orgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
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      "source": {
        "advisory": "8ea058a7-4ef8-4baf-9198-bc0147fc543c",
        "discovery": "EXTERNAL"
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      "title": "Local File Inclusion (LFI) via Scheme Confusion in mlflow/mlflow"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
    "assignerShortName": "@huntr_ai",
    "cveId": "CVE-2024-3573",
    "datePublished": "2024-04-16T00:00:14.753Z",
    "dateReserved": "2024-04-10T09:54:30.434Z",
    "dateUpdated": "2024-08-01T20:12:07.901Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1",
  "meta": {
    "nvd": "{\"cve\":{\"id\":\"CVE-2024-3573\",\"sourceIdentifier\":\"security@huntr.dev\",\"published\":\"2024-04-16T00:15:12.570\",\"lastModified\":\"2024-04-16T13:24:07.103\",\"vulnStatus\":\"Awaiting Analysis\",\"descriptions\":[{\"lang\":\"en\",\"value\":\"mlflow/mlflow is vulnerable to Local File Inclusion (LFI) due to improper parsing of URIs, allowing attackers to bypass checks and read arbitrary files on the system. The issue arises from the \u0027is_local_uri\u0027 function\u0027s failure to properly handle URIs with empty or \u0027file\u0027 schemes, leading to the misclassification of URIs as non-local. Attackers can exploit this by crafting malicious model versions with specially crafted \u0027source\u0027 parameters, enabling the reading of sensitive files within at least two directory levels from the server\u0027s root.\"},{\"lang\":\"es\",\"value\":\"mlflow/mlflow es vulnerable a la inclusi\u00f3n de archivos locales (LFI) debido a un an\u00e1lisis inadecuado de los URI, lo que permite a los atacantes eludir las comprobaciones y leer archivos arbitrarios en el sistema. El problema surge de la falla de la funci\u00f3n \u0027is_local_uri\u0027 para manejar adecuadamente los URI con esquemas vac\u00edos o de \u0027archivo\u0027, lo que lleva a la clasificaci\u00f3n err\u00f3nea de los URI como no locales. Los atacantes pueden aprovechar esto creando versiones de modelos maliciosos con par\u00e1metros de \\\"fuente\\\" especialmente manipulados, lo que permite la lectura de archivos confidenciales dentro de al menos dos niveles de directorio desde la ra\u00edz del servidor.\"}],\"metrics\":{\"cvssMetricV30\":[{\"source\":\"security@huntr.dev\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.0\",\"vectorString\":\"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"CHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"LOW\",\"availabilityImpact\":\"NONE\",\"baseScore\":9.3,\"baseSeverity\":\"CRITICAL\"},\"exploitabilityScore\":3.9,\"impactScore\":4.7}]},\"weaknesses\":[{\"source\":\"security@huntr.dev\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-29\"}]}],\"references\":[{\"url\":\"https://github.com/mlflow/mlflow/commit/438a450714a3ca06285eeea34bdc6cf79d7f6cbc\",\"source\":\"security@huntr.dev\"},{\"url\":\"https://huntr.com/bounties/8ea058a7-4ef8-4baf-9198-bc0147fc543c\",\"source\":\"security@huntr.dev\"}]}}"
  }
}


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