CVE-2023-5245 (GCVE-0-2023-5245)

Vulnerability from cvelistv5 – Published: 2023-11-15 12:52 – Updated: 2024-08-02 07:52
VLAI
Title
Using MLeap for loading a saved model (zip archive) can lead to path traversal/arbitrary file creation and possibly remote code execution.
Summary
FileUtil.extract() enumerates all zip file entries and extracts each file without validating whether file paths in the archive are outside the intended directory. When creating an instance of TensorflowModel using the saved_model format and an exported tensorflow model, the apply() function invokes the vulnerable implementation of FileUtil.extract(). Arbitrary file creation can directly lead to code execution
Severity
7.5 (High)
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
CWE
  • CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
Impacted products
Vendor Product Version
Affected: 0.18.0 , < 0.23.1 (maven)
Show details on NVD website
To clipboard 

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-02T07:52:08.515Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "patch",
              "x_transferred"
            ],
            "url": "https://github.com/combust/mleap/pull/866#issuecomment-1738032225"
          },
          {
            "tags": [
              "third-party-advisory",
              "x_transferred"
            ],
            "url": "https://research.jfrog.com/vulnerabilities/mleap-path-traversal-rce-xray-532656/"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "collectionURL": "https://mvnrepository.com",
          "packageName": "ml.combust.mleap.mleap-tensorflow",
          "versions": [
            {
              "lessThan": "0.23.1",
              "status": "affected",
              "version": "0.18.0",
              "versionType": "maven"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "\u003cp\u003eFileUtil.extract() enumerates all zip file entries and extracts each file without validating whether file paths in the archive are outside the intended directory.\u003c/p\u003e\u003cp\u003eWhen creating an instance of TensorflowModel using the saved_model format and an exported tensorflow model, the apply() function invokes the vulnerable implementation of FileUtil.extract().\u003c/p\u003e\u003cp\u003eArbitrary file creation can directly lead to code execution\u003c/p\u003e"
            }
          ],
          "value": "FileUtil.extract() enumerates all zip file entries and extracts each file without validating whether file paths in the archive are outside the intended directory.\n\nWhen creating an instance of TensorflowModel using the saved_model format and an exported tensorflow model, the apply() function invokes the vulnerable implementation of FileUtil.extract().\n\nArbitrary file creation can directly lead to code execution"
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "HIGH",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 7.5,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/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 (\u0027Path Traversal\u0027)",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2024-07-15T00:27:54.327Z",
        "orgId": "48a46f29-ae42-4e1d-90dd-c1676c1e5e6d",
        "shortName": "JFROG"
      },
      "references": [
        {
          "tags": [
            "patch"
          ],
          "url": "https://github.com/combust/mleap/pull/866#issuecomment-1738032225"
        },
        {
          "tags": [
            "third-party-advisory"
          ],
          "url": "https://research.jfrog.com/vulnerabilities/mleap-path-traversal-rce-xray-532656/"
        }
      ],
      "source": {
        "discovery": "EXTERNAL"
      },
      "title": "Using MLeap for loading a saved model (zip archive) can lead to path traversal/arbitrary file creation and possibly remote code execution."
    }
  },
  "cveMetadata": {
    "assignerOrgId": "48a46f29-ae42-4e1d-90dd-c1676c1e5e6d",
    "assignerShortName": "JFROG",
    "cveId": "CVE-2023-5245",
    "datePublished": "2023-11-15T12:52:18.656Z",
    "dateReserved": "2023-09-28T06:08:57.423Z",
    "dateUpdated": "2024-08-02T07:52:08.515Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2023-5245",
      "date": "2026-06-27",
      "epss": "0.01186",
      "percentile": "0.63958"
    },
    "fkie_nvd": {
      "configurations": "[{\"nodes\": [{\"operator\": \"OR\", \"negate\": false, \"cpeMatch\": [{\"vulnerable\": true, \"criteria\": \"cpe:2.3:a:combust:mleap:0.18.0:*:*:*:*:*:*:*\", \"matchCriteriaId\": \"84FDDCAB-F580-4036-BDF5-3EBC2C7D6CB7\"}, {\"vulnerable\": true, \"criteria\": \"cpe:2.3:a:combust:mleap:0.23.0:*:*:*:*:*:*:*\", \"matchCriteriaId\": \"5BBED8B0-FD39-44C2-A8E9-29734D62D3BA\"}]}]}]",
      "descriptions": "[{\"lang\": \"en\", \"value\": \"FileUtil.extract() enumerates all zip file entries and extracts each file without validating whether file paths in the archive are outside the intended directory.\\n\\nWhen creating an instance of TensorflowModel using the saved_model format and an exported tensorflow model, the apply() function invokes the vulnerable implementation of FileUtil.extract().\\n\\nArbitrary file creation can directly lead to code execution\\n\\n\"}, {\"lang\": \"es\", \"value\": \"FileUtil.extract() enumera todas las entradas del archivo zip y extrae cada archivo sin validar si las rutas de los archivos en el archivo est\\u00e1n fuera del directorio deseado. Al crear una instancia de TensorflowModel usando el formato save_model y un modelo de tensorflow exportado, la funci\\u00f3n apply() invoca la implementaci\\u00f3n vulnerable de FileUtil.extract(). La creaci\\u00f3n arbitraria de archivos puede conducir directamente a la ejecuci\\u00f3n del c\\u00f3digo\"}]",
      "id": "CVE-2023-5245",
      "lastModified": "2024-11-21T08:41:21.887",
      "metrics": "{\"cvssMetricV31\": [{\"source\": \"reefs@jfrog.com\", \"type\": \"Secondary\", \"cvssData\": {\"version\": \"3.1\", \"vectorString\": \"CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H\", \"baseScore\": 7.5, \"baseSeverity\": \"HIGH\", \"attackVector\": \"NETWORK\", \"attackComplexity\": \"HIGH\", \"privilegesRequired\": \"LOW\", \"userInteraction\": \"NONE\", \"scope\": \"UNCHANGED\", \"confidentialityImpact\": \"HIGH\", \"integrityImpact\": \"HIGH\", \"availabilityImpact\": \"HIGH\"}, \"exploitabilityScore\": 1.6, \"impactScore\": 5.9}, {\"source\": \"nvd@nist.gov\", \"type\": \"Primary\", \"cvssData\": {\"version\": \"3.1\", \"vectorString\": \"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H\", \"baseScore\": 9.8, \"baseSeverity\": \"CRITICAL\", \"attackVector\": \"NETWORK\", \"attackComplexity\": \"LOW\", \"privilegesRequired\": \"NONE\", \"userInteraction\": \"NONE\", \"scope\": \"UNCHANGED\", \"confidentialityImpact\": \"HIGH\", \"integrityImpact\": \"HIGH\", \"availabilityImpact\": \"HIGH\"}, \"exploitabilityScore\": 3.9, \"impactScore\": 5.9}]}",
      "published": "2023-11-15T13:15:07.457",
      "references": "[{\"url\": \"https://github.com/combust/mleap/pull/866#issuecomment-1738032225\", \"source\": \"reefs@jfrog.com\", \"tags\": [\"Issue Tracking\", \"Patch\"]}, {\"url\": \"https://research.jfrog.com/vulnerabilities/mleap-path-traversal-rce-xray-532656/\", \"source\": \"reefs@jfrog.com\", \"tags\": [\"Exploit\", \"Third Party Advisory\"]}, {\"url\": \"https://github.com/combust/mleap/pull/866#issuecomment-1738032225\", \"source\": \"af854a3a-2127-422b-91ae-364da2661108\", \"tags\": [\"Issue Tracking\", \"Patch\"]}, {\"url\": \"https://research.jfrog.com/vulnerabilities/mleap-path-traversal-rce-xray-532656/\", \"source\": \"af854a3a-2127-422b-91ae-364da2661108\", \"tags\": [\"Exploit\", \"Third Party Advisory\"]}]",
      "sourceIdentifier": "reefs@jfrog.com",
      "vulnStatus": "Modified",
      "weaknesses": "[{\"source\": \"reefs@jfrog.com\", \"type\": \"Primary\", \"description\": [{\"lang\": \"en\", \"value\": \"CWE-22\"}]}]"
    },
    "nvd": "{\"cve\":{\"id\":\"CVE-2023-5245\",\"sourceIdentifier\":\"reefs@jfrog.com\",\"published\":\"2023-11-15T13:15:07.457\",\"lastModified\":\"2026-06-17T06:48:10.053\",\"vulnStatus\":\"Modified\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"FileUtil.extract() enumerates all zip file entries and extracts each file without validating whether file paths in the archive are outside the intended directory.\\n\\nWhen creating an instance of TensorflowModel using the saved_model format and an exported tensorflow model, the apply() function invokes the vulnerable implementation of FileUtil.extract().\\n\\nArbitrary file creation can directly lead to code execution\"},{\"lang\":\"es\",\"value\":\"FileUtil.extract() enumera todas las entradas del archivo zip y extrae cada archivo sin validar si las rutas de los archivos en el archivo est\u00e1n fuera del directorio deseado. Al crear una instancia de TensorflowModel usando el formato save_model y un modelo de tensorflow exportado, la funci\u00f3n apply() invoca la implementaci\u00f3n vulnerable de FileUtil.extract(). La creaci\u00f3n arbitraria de archivos puede conducir directamente a la ejecuci\u00f3n del c\u00f3digo\"}],\"affected\":[{\"source\":\"reefs@jfrog.com\",\"affectedData\":[{\"collectionURL\":\"https://mvnrepository.com\",\"packageName\":\"ml.combust.mleap.mleap-tensorflow\",\"versions\":[{\"version\":\"0.18.0\",\"lessThan\":\"0.23.1\",\"versionType\":\"maven\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"reefs@jfrog.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H\",\"baseScore\":7.5,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"HIGH\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":1.6,\"impactScore\":5.9},{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H\",\"baseScore\":9.8,\"baseSeverity\":\"CRITICAL\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":3.9,\"impactScore\":5.9}]},\"weaknesses\":[{\"source\":\"reefs@jfrog.com\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-22\"}]}],\"configurations\":[{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:combust:mleap:0.18.0:*:*:*:*:*:*:*\",\"matchCriteriaId\":\"84FDDCAB-F580-4036-BDF5-3EBC2C7D6CB7\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:combust:mleap:0.23.0:*:*:*:*:*:*:*\",\"matchCriteriaId\":\"5BBED8B0-FD39-44C2-A8E9-29734D62D3BA\"}]}]}],\"references\":[{\"url\":\"https://github.com/combust/mleap/pull/866#issuecomment-1738032225\",\"source\":\"reefs@jfrog.com\",\"tags\":[\"Issue Tracking\",\"Patch\"]},{\"url\":\"https://research.jfrog.com/vulnerabilities/mleap-path-traversal-rce-xray-532656/\",\"source\":\"reefs@jfrog.com\",\"tags\":[\"Exploit\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/combust/mleap/pull/866#issuecomment-1738032225\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Issue Tracking\",\"Patch\"]},{\"url\":\"https://research.jfrog.com/vulnerabilities/mleap-path-traversal-rce-xray-532656/\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Exploit\",\"Third Party Advisory\"]}]}}"
  }
}


Log in or create an account to share your comment.




Tags
Taxonomy of the tags.





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.


Detection rules are retrieved from Rulezet.