Vulnerability-Lookup

GHSA-8FXR-QFR9-P34W

Vulnerability from github – Published: 2023-10-02 20:39 – Updated: 2023-11-01 06:09

Summary

TorchServe Server-Side Request Forgery vulnerability

Details

Impact

Remote Server-Side Request Forgery (SSRF) Issue: 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. Mitigation: The 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 - https://github.com/pytorch/serve/pull/2534. TorchServe release 0.8.2 includes this change.

Patches

TorchServe release 0.8.2 includes fixes to address the previously listed issue:

https://github.com/pytorch/serve/releases/tag/v0.8.2

Tags for upgraded DLC release User can use the following new image tags to pull DLCs that ship with patched TorchServe version 0.8.2: x86 GPU

v1.9-pt-ec2-2.0.1-inf-gpu-py310
v1.8-pt-sagemaker-2.0.1-inf-gpu-py310

x86 CPU

v1.8-pt-ec2-2.0.1-inf-cpu-py310
v1.7-pt-sagemaker-2.0.1-inf-cpu-py310

Graviton

v1.7-pt-graviton-ec2-2.0.1-inf-cpu-py310
v1.5-pt-graviton-sagemaker-2.0.1-inf-cpu-py310

Neuron

1.13.1-neuron-py310-sdk2.13.2-ubuntu20.04
1.13.1-neuronx-py310-sdk2.13.2-ubuntu20.04
1.13.1-neuronx-py310-sdk2.13.2-ubuntu20.04

The full DLC image URI details can be found at: https://github.com/aws/deep-learning-containers/blob/master/available_images.md#available-deep-learning-containers-images

References

https://github.com/pytorch/serve/blob/b3eced56b4d9d5d3b8597aa506a0bcf954d291bc/docs/configuration.md?plain=1#L296 https://github.com/pytorch/serve/pull/2534 https://github.com/pytorch/serve/releases/tag/v0.8.2 https://github.com/aws/deep-learning-containers/blob/master/available_images.md#available-deep-learning-containers-images

Credit

We would like to thank Oligo Security for responsibly disclosing this issue and working with us on its resolution. If you have any questions or comments about this advisory, we ask that you contact AWS/Amazon Security via our vulnerability reporting page](https://aws.amazon.com/security/vulnerability-reporting)) or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue.

Severity ?

9.8 (Critical)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "torchserve"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0.1.0"
            },
            {
              "fixed": "0.8.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2023-43654"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2023-10-02T20:39:20Z",
    "nvd_published_at": "2023-09-28T23:15:09Z",
    "severity": "CRITICAL"
  },
  "details": "## Impact\n**Remote Server-Side Request Forgery (SSRF)**\n    **Issue**: 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`.\n    **Mitigation**: The 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](https://github.com/pytorch/serve/blob/b3eced56b4d9d5d3b8597aa506a0bcf954d291bc/docs/configuration.md?plain=1#L296) 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 - https://github.com/pytorch/serve/pull/2534. TorchServe release `0.8.2` includes this change.\n\n## Patches\n\n## TorchServe release 0.8.2 includes fixes to address the previously listed issue:\n\nhttps://github.com/pytorch/serve/releases/tag/v0.8.2\n\n**Tags for upgraded DLC release**\nUser can use the following new image tags to pull DLCs that ship with patched TorchServe version 0.8.2:\nx86 GPU\n\n* v1.9-pt-ec2-2.0.1-inf-gpu-py310\n* v1.8-pt-sagemaker-2.0.1-inf-gpu-py310\n\nx86 CPU\n\n* v1.8-pt-ec2-2.0.1-inf-cpu-py310\n* v1.7-pt-sagemaker-2.0.1-inf-cpu-py310\n\nGraviton\n\n* v1.7-pt-graviton-ec2-2.0.1-inf-cpu-py310\n* v1.5-pt-graviton-sagemaker-2.0.1-inf-cpu-py310\n\nNeuron\n\n* 1.13.1-neuron-py310-sdk2.13.2-ubuntu20.04\n* 1.13.1-neuronx-py310-sdk2.13.2-ubuntu20.04\n* 1.13.1-neuronx-py310-sdk2.13.2-ubuntu20.04\n\nThe full DLC image URI details can be found at: https://github.com/aws/deep-learning-containers/blob/master/available_images.md#available-deep-learning-containers-images\n\n## References\nhttps://github.com/pytorch/serve/blob/b3eced56b4d9d5d3b8597aa506a0bcf954d291bc/docs/configuration.md?plain=1#L296\nhttps://github.com/pytorch/serve/pull/2534\nhttps://github.com/pytorch/serve/releases/tag/v0.8.2\nhttps://github.com/aws/deep-learning-containers/blob/master/available_images.md#available-deep-learning-containers-images\n\n## Credit\nWe would like to thank Oligo Security for responsibly disclosing this issue and working with us on its resolution.\nIf you have any questions or comments about this advisory, we ask that you contact AWS/Amazon Security via our [vulnerability reporting page](https://aws.amazon.com/security/vulnerability-reporting[)](https://aws.amazon.com/security/vulnerability-reporting)) or directly via email to [aws-security@amazon.com](mailto:aws-security@amazon.com). Please do not create a public GitHub issue.",
  "id": "GHSA-8fxr-qfr9-p34w",
  "modified": "2023-11-01T06:09:57Z",
  "published": "2023-10-02T20:39:20Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/pytorch/serve/security/advisories/GHSA-8fxr-qfr9-p34w"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-43654"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pytorch/serve/pull/2534"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/pytorch/serve"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pytorch/serve/releases/tag/v0.8.2"
    },
    {
      "type": "WEB",
      "url": "http://packetstormsecurity.com/files/175095/PyTorch-Model-Server-Registration-Deserialization-Remote-Code-Execution.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "TorchServe Server-Side Request Forgery vulnerability"
}

CVE-2023-43654 (GCVE-0-2023-43654)

Vulnerability from cvelistv5 – Published: 2023-09-28 22:10 – Updated: 2025-02-13 17:13

Title

TorchServe Server-Side Request Forgery

Summary

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.

Severity ?

10 (Critical)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H

CWE

CWE-918 - Server-Side Request Forgery (SSRF)

Assigner

GitHub_M

References

URL

Tags

	https://github.com/pytorch/serve/security/advisor…	x_refsource_CONFIRM
	https://github.com/pytorch/serve/pull/2534	x_refsource_MISC
	https://github.com/pytorch/serve/releases/tag/v0.8.2	x_refsource_MISC
	http://packetstormsecurity.com/files/175095/PyTor…

Impacted products

	Vendor	Product	Version
	pytorch	serve	Affected: >= 0.1.0, < 0.8.2

Show details on NVD website

JSON

To clipboard

{
  "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": "2023-10-13T15:06:29.225Z",
        "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": "2025-02-13T17:13:27.341Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

Sightings

Author	Source	Type	Date

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.

Action not permitted

GHSA-8FXR-QFR9-P34W

Impact

Patches

TorchServe release 0.8.2 includes fixes to address the previously listed issue:

References

Credit

CVE-2023-43654 (GCVE-0-2023-43654)

Tags

Sightings

Nomenclature