Vulnerability-Lookup

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

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

Title

TorchServe bypass allowed_urls configuration

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

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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

To clipboard

{
  "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"
}

FKIE_CVE-2024-35198

Vulnerability from fkie_nvd - Published: 2024-07-19 02:15 - Updated: 2025-09-04 15:43

Severity ?

9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Summary

References

URL	Tags
security-advisories@github.com	https://github.com/pytorch/serve/pull/3082	Patch
security-advisories@github.com	https://github.com/pytorch/serve/releases/tag/v0.11.0	Release Notes
security-advisories@github.com	https://github.com/pytorch/serve/security/advisories/GHSA-wxcx-gg9c-fwp2	Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108	https://github.com/pytorch/serve/pull/3082	Patch
af854a3a-2127-422b-91ae-364da2661108	https://github.com/pytorch/serve/releases/tag/v0.11.0	Release Notes
af854a3a-2127-422b-91ae-364da2661108	https://github.com/pytorch/serve/security/advisories/GHSA-wxcx-gg9c-fwp2	Third Party Advisory

Impacted products

	Vendor	Product	Version
	pytorch	torchserve	*

JSON

To clipboard

{
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:pytorch:torchserve:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "44161383-FECC-4722-B2F1-D1162C00B26F",
              "versionEndExcluding": "0.11.0",
              "versionStartIncluding": "0.4.2",
              "vulnerable": true
            }
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          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "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."
    },
    {
      "lang": "es",
      "value": "TorchServe es una herramienta flexible y f\u00e1cil de usar para servir y escalar modelos PyTorch en producci\u00f3n. La verificaci\u00f3n de TorchServe en la configuraci\u00f3n de Allow_urls se puede omitir si la URL contiene caracteres como \"..\" pero no impide que el modelo se descargue en la tienda de modelos. Una vez que se descarga un archivo, se puede hacer referencia a \u00e9l sin proporcionar una URL la segunda vez, lo que efectivamente evita la verificaci\u00f3n de seguridad de Allow_urls. Los clientes que utilizan contenedores de aprendizaje profundo (DLC) de inferencia de PyTorch a trav\u00e9s de Amazon SageMaker y EKS no se ven afectados. Este problema en TorchServe se solucion\u00f3 validando la URL sin caracteres como \"..\" antes de descargar, consulte PR #3082. La versi\u00f3n 0.11.0 de TorchServe incluye la soluci\u00f3n para solucionar esta vulnerabilidad. Se recomienda a los usuarios que actualicen. No se conocen workarounds para esta vulnerabilidad."
    }
  ],
  "id": "CVE-2024-35198",
  "lastModified": "2025-09-04T15:43:52.833",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "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"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 5.9,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ]
  },
  "published": "2024-07-19T02:15:14.150",
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        "Patch"
      ],
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    },
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Release Notes"
      ],
      "url": "https://github.com/pytorch/serve/releases/tag/v0.11.0"
    },
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://github.com/pytorch/serve/security/advisories/GHSA-wxcx-gg9c-fwp2"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
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        "Patch"
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      "source": "af854a3a-2127-422b-91ae-364da2661108",
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        "Release Notes"
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    },
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  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Analyzed",
  "weaknesses": [
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        {
          "lang": "en",
          "value": "CWE-706"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Secondary"
    }
  ]
}

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

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

GHSA-WXCX-GG9C-FWP2

Impact

Patches

References

FKIE_CVE-2024-35198

Tags

Sightings

Nomenclature