CVE-2023-43654
Vulnerability from cvelistv5
Published
2023-09-28 22:10
Modified
2024-09-23 18:12
Severity ?
Summary
TorchServe Server-Side Request Forgery
Impacted products
pytorchserve
Show details on NVD website


{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-02T19:44:43.856Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "name": "https://github.com/pytorch/serve/security/advisories/GHSA-8fxr-qfr9-p34w",
            "tags": [
              "x_refsource_CONFIRM",
              "x_transferred"
            ],
            "url": "https://github.com/pytorch/serve/security/advisories/GHSA-8fxr-qfr9-p34w"
          },
          {
            "name": "https://github.com/pytorch/serve/pull/2534",
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/pytorch/serve/pull/2534"
          },
          {
            "name": "https://github.com/pytorch/serve/releases/tag/v0.8.2",
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/pytorch/serve/releases/tag/v0.8.2"
          },
          {
            "tags": [
              "x_transferred"
            ],
            "url": "http://packetstormsecurity.com/files/175095/PyTorch-Model-Server-Registration-Deserialization-Remote-Code-Execution.html"
          }
        ],
        "title": "CVE Program Container"
      },
      {
        "affected": [
          {
            "cpes": [
              "cpe:2.3:a:pytorch:torchserve:*:*:*:*:*:*:*:*"
            ],
            "defaultStatus": "unknown",
            "product": "torchserve",
            "vendor": "pytorch",
            "versions": [
              {
                "lessThan": "0.8.2",
                "status": "affected",
                "version": "0.1.0",
                "versionType": "custom"
              }
            ]
          }
        ],
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2023-43654",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2024-09-23T18:11:45.025680Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2024-09-23T18:12:51.982Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "serve",
          "vendor": "pytorch",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 0.1.0, \u003c 0.8.2"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "TorchServe is a tool for serving and scaling PyTorch models in production. TorchServe default configuration lacks proper input validation, enabling third parties to invoke remote HTTP download requests and write files to the disk. This issue could be taken advantage of to compromise the integrity of the system and sensitive data. This issue is present in versions 0.1.0 to 0.8.1. A user is able to load the model of their choice from any URL that they would like to use. The user of TorchServe is responsible for configuring both the allowed_urls and specifying the model URL to be used. A pull request to warn the user when the default value for allowed_urls is used has been merged in PR #2534. TorchServe release 0.8.2 includes this change. Users are advised to upgrade. There are no known workarounds for this issue."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 10,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-918",
              "description": "CWE-918: Server-Side Request Forgery (SSRF)",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2023-09-28T22:10:09.497Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://github.com/pytorch/serve/security/advisories/GHSA-8fxr-qfr9-p34w",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/pytorch/serve/security/advisories/GHSA-8fxr-qfr9-p34w"
        },
        {
          "name": "https://github.com/pytorch/serve/pull/2534",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/pytorch/serve/pull/2534"
        },
        {
          "name": "https://github.com/pytorch/serve/releases/tag/v0.8.2",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/pytorch/serve/releases/tag/v0.8.2"
        },
        {
          "url": "http://packetstormsecurity.com/files/175095/PyTorch-Model-Server-Registration-Deserialization-Remote-Code-Execution.html"
        }
      ],
      "source": {
        "advisory": "GHSA-8fxr-qfr9-p34w",
        "discovery": "UNKNOWN"
      },
      "title": "TorchServe Server-Side Request Forgery"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2023-43654",
    "datePublished": "2023-09-28T22:10:09.497Z",
    "dateReserved": "2023-09-20T15:35:38.147Z",
    "dateUpdated": "2024-09-23T18:12:51.982Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1",
  "meta": {
    "nvd": "{\"cve\":{\"id\":\"CVE-2023-43654\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2023-09-28T23:15:09.627\",\"lastModified\":\"2023-10-31T18:35:18.223\",\"vulnStatus\":\"Analyzed\",\"descriptions\":[{\"lang\":\"en\",\"value\":\"TorchServe is a tool for serving and scaling PyTorch models in production. TorchServe default configuration lacks proper input validation, enabling third parties to invoke remote HTTP download requests and write files to the disk. This issue could be taken advantage of to compromise the integrity of the system and sensitive data. This issue is present in versions 0.1.0 to 0.8.1. A user is able to load the model of their choice from any URL that they would like to use. The user of TorchServe is responsible for configuring both the allowed_urls and specifying the model URL to be used. A pull request to warn the user when the default value for allowed_urls is used has been merged in PR #2534. TorchServe release 0.8.2 includes this change. Users are advised to upgrade. There are no known workarounds for this issue.\"},{\"lang\":\"es\",\"value\":\"TorchServe es una herramienta para servir y escalar modelos de PyTorch en producci\u00f3n. La configuraci\u00f3n predeterminada de TorchServe carece de una validaci\u00f3n de entrada adecuada, lo que permite a terceros invocar solicitudes de descarga HTTP remotas y escribir archivos en el disco. Se podr\u00eda aprovechar este problema para comprometer la integridad del sistema y los datos confidenciales. Este problema est\u00e1 presente en las versiones 0.1.0 a 0.8.1. Un usuario puede cargar el modelo de su elecci\u00f3n desde cualquier URL que desee utilizar. El usuario de TorchServe es responsable de configurar las URL permitidas y especificar la URL modelo que se utilizar\u00e1. En PR #2534 se fusion\u00f3 una solicitud de extracci\u00f3n para advertir al usuario cuando se utiliza el valor predeterminado para Allow_urls. La versi\u00f3n 0.8.2 de TorchServe incluye este cambio. Se recomienda a los usuarios que actualicen. No se conocen workarounds para este problema.\"}],\"metrics\":{\"cvssMetricV31\":[{\"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\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\",\"baseScore\":9.8,\"baseSeverity\":\"CRITICAL\"},\"exploitabilityScore\":3.9,\"impactScore\":5.9},{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"CHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\",\"baseScore\":10.0,\"baseSeverity\":\"CRITICAL\"},\"exploitabilityScore\":3.9,\"impactScore\":6.0}]},\"weaknesses\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-918\"}]}],\"configurations\":[{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:pytorch:torchserve:*:*:*:*:*:*:*:*\",\"versionStartIncluding\":\"0.1.0\",\"versionEndExcluding\":\"0.8.2\",\"matchCriteriaId\":\"1C72B515-779F-4815-B20E-80DF998B771B\"}]}]}],\"references\":[{\"url\":\"http://packetstormsecurity.com/files/175095/PyTorch-Model-Server-Registration-Deserialization-Remote-Code-Execution.html\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Exploit\",\"Third Party Advisory\",\"VDB Entry\"]},{\"url\":\"https://github.com/pytorch/serve/pull/2534\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Issue Tracking\"]},{\"url\":\"https://github.com/pytorch/serve/releases/tag/v0.8.2\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Release Notes\"]},{\"url\":\"https://github.com/pytorch/serve/security/advisories/GHSA-8fxr-qfr9-p34w\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Vendor Advisory\"]}]}}"
  }
}


Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading...

Loading...

Loading...

Sightings

Author Source Type Date

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
  • Confirmed: The vulnerability is confirmed from an analyst perspective.
  • Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
  • Patched: This vulnerability was successfully patched by the user reporting the sighting.
  • Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
  • Not confirmed: The user expresses doubt about the veracity of the vulnerability.
  • Not patched: This vulnerability was not successfully patched by the user reporting the sighting.