github - ghsa-wxcx-gg9c-fwp2

GHSA-WXCX-GG9C-FWP2

Vulnerability from github – Published: 2024-07-18 22:03 – Updated: 2024-08-07 16:01

Summary

TorchServe vulnerable to bypass of allowed_urls configuration

Details

Impact

TorchServe's check on allowed_urls configuration can be by-passed if the URL contains characters such as ".." but it does not prevent the model from being downloaded into the model store. Once a file is downloaded, it can be referenced without providing a URL the second time, which effectively bypasses the allowed_urls security check. Customers using PyTorch inference Deep Learning Containers (DLC) through Amazon SageMaker and EKS are not affected.

Patches

This issue in TorchServe has been fixed by validating the URL without characters such as ".." before downloading: #3082.

TorchServe release 0.11.0 includes the fix to address this vulnerability.

References

Thank Kroll Cyber Risk for for responsibly disclosing this issue.

If you have any questions or comments about this advisory, we ask that you contact AWS Security via our vulnerability reporting page 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

9.3 (Critical)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Show details on source website

JSON

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{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "torchserve"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.11.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2024-35198"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-22",
      "CWE-706"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2024-07-18T22:03:30Z",
    "nvd_published_at": "2024-07-19T02:15:14Z",
    "severity": "CRITICAL"
  },
  "details": "### Impact\nTorchServe\u0027s check on allowed_urls configuration can be by-passed if the URL contains characters such as \"..\" but it does not prevent the model from being downloaded into the model store. Once a file is downloaded, it can be referenced without providing a URL the second time, which effectively bypasses the allowed_urls security check. Customers using PyTorch inference Deep Learning Containers (DLC) through Amazon SageMaker and EKS are not affected.\n\n### Patches\nThis issue in TorchServe has been fixed by validating the URL without characters such as \"..\" before downloading: [#3082](https://github.com/pytorch/serve/pull/3082).\n\nTorchServe release 0.11.0 includes the fix to address this vulnerability.\n\n### References\n* [#3082](https://github.com/pytorch/serve/pull/3082)\n* [TorchServe release v0.11.0](https://github.com/pytorch/serve/releases/tag/v0.11.0)\n\nThank Kroll Cyber Risk for for responsibly disclosing this issue.\n\nIf you have any questions or comments about this advisory, we ask that you contact AWS Security via our [vulnerability reporting page](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-wxcx-gg9c-fwp2",
  "modified": "2024-08-07T16:01:12Z",
  "published": "2024-07-18T22:03:30Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/pytorch/serve/security/advisories/GHSA-wxcx-gg9c-fwp2"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-35198"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pytorch/serve/pull/3082"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pytorch/serve/commit/cdba0fd449c2fd23dcf37c54c0784035541d5114"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/pytorch/serve"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pytorch/serve/releases/tag/v0.11.0"
    }
  ],
  "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"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "TorchServe vulnerable to bypass of allowed_urls configuration"
}

CVE-2024-35198 (GCVE-0-2024-35198)

Vulnerability from cvelistv5 – Published: 2024-07-18 22:40 – Updated: 2024-08-07 16:00

Summary

TorchServe is a flexible and easy-to-use tool for serving and scaling PyTorch models in production. TorchServe 's check on allowed_urls configuration can be by-passed if the URL contains characters such as ".." but it does not prevent the model from being downloaded into the model store. Once a file is downloaded, it can be referenced without providing a URL the second time, which effectively bypasses the allowed_urls security check. Customers using PyTorch inference Deep Learning Containers (DLC) through Amazon SageMaker and EKS are not affected. This issue in TorchServe has been fixed by validating the URL without characters such as ".." before downloading see PR #3082. TorchServe release 0.11.0 includes the fix to address this vulnerability. Users are advised to upgrade. There are no known workarounds for this vulnerability.

Severity ?

9.8 (Critical)


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

CWE

CWE-706 - Use of Incorrectly-Resolved Name or Reference

Assigner

GitHub_M

References

URL

Tags

	https://github.com/pytorch/serve/security/advisor…	x_refsource_CONFIRM
	https://github.com/pytorch/serve/pull/3082	x_refsource_MISC
	https://github.com/pytorch/serve/releases/tag/v0.11.0	x_refsource_MISC

Impacted products

	Vendor	Product	Version
	pytorch	serve	Affected: >= 0.4.2, < 0.11.0

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2024-35198",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2024-07-19T16:58:05.654373Z",
                "version": "2.0.3"
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        "providerMetadata": {
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          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
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          },
          {
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          },
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            "url": "https://github.com/pytorch/serve/releases/tag/v0.11.0"
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    ],
    "cna": {
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        {
          "product": "serve",
          "vendor": "pytorch",
          "versions": [
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      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "TorchServe is a flexible and easy-to-use tool for serving and scaling PyTorch models in production. TorchServe \u0027s check on allowed_urls configuration can be by-passed if the URL contains characters such as \"..\" but it does not prevent the model from being downloaded into the model store. Once a file is downloaded, it can be referenced without providing a URL the second time, which effectively bypasses the allowed_urls security check. Customers using PyTorch inference Deep Learning Containers (DLC) through Amazon SageMaker and EKS are not affected. This issue in TorchServe has been fixed by validating the URL without characters such as \"..\" before downloading see PR #3082. TorchServe release 0.11.0 includes the fix to address this vulnerability. Users are advised to upgrade. There are no known workarounds for this vulnerability."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 9.8,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
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              "lang": "en",
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      ],
      "providerMetadata": {
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      },
      "references": [
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          ],
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        },
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          "tags": [
            "x_refsource_MISC"
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          "url": "https://github.com/pytorch/serve/pull/3082"
        },
        {
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          "tags": [
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        }
      ],
      "source": {
        "advisory": "GHSA-wxcx-gg9c-fwp2",
        "discovery": "UNKNOWN"
      },
      "title": "TorchServe bypass allowed_urls configuration"
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  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
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    "datePublished": "2024-07-18T22:40:08.176Z",
    "dateReserved": "2024-05-10T14:24:24.343Z",
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  },
  "dataType": "CVE_RECORD",
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}

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-WXCX-GG9C-FWP2

Impact

Patches

References

CVE-2024-35198 (GCVE-0-2024-35198)

Tags

Sightings

Nomenclature