cvelistv5 - cve-2024-35198

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

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WID-SEC-W-2024-1687

Vulnerability from csaf_certbund - Published: 2024-07-22 22:00 - Updated: 2024-07-22 22:00

Summary

PyTorch: Mehrere Schwachstellen

Notes

Das BSI ist als Anbieter für die eigenen, zur Nutzung bereitgestellten Inhalte nach den allgemeinen Gesetzen verantwortlich. Nutzerinnen und Nutzer sind jedoch dafür verantwortlich, die Verwendung und/oder die Umsetzung der mit den Inhalten bereitgestellten Informationen sorgfältig im Einzelfall zu prüfen.

Produktbeschreibung

PyTorch ist eine Tensor-Bibliothek für Deep Learning mit GPUs und CPUs.

Angriff

Ein entfernter anonymer Angreifer kann mehrere Schwachstellen in PyTorch ausnutzen, um Sicherheitsmaßnahmen zu umgehen oder einen unspezifischen Angriff durchzuführen.

Betroffene Betriebssysteme

- Sonstiges

JSON

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    "aggregate_severity": {
      "text": "hoch"
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    "category": "csaf_base",
    "csaf_version": "2.0",
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      "tlp": {
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    "lang": "de-DE",
    "notes": [
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        "category": "legal_disclaimer",
        "text": "Das BSI ist als Anbieter f\u00fcr die eigenen, zur Nutzung bereitgestellten Inhalte nach den allgemeinen Gesetzen verantwortlich. Nutzerinnen und Nutzer sind jedoch daf\u00fcr verantwortlich, die Verwendung und/oder die Umsetzung der mit den Inhalten bereitgestellten Informationen sorgf\u00e4ltig im Einzelfall zu pr\u00fcfen."
      },
      {
        "category": "description",
        "text": "PyTorch ist eine Tensor-Bibliothek f\u00fcr Deep Learning mit GPUs und CPUs.",
        "title": "Produktbeschreibung"
      },
      {
        "category": "summary",
        "text": "Ein entfernter anonymer Angreifer kann mehrere Schwachstellen in PyTorch ausnutzen, um Sicherheitsma\u00dfnahmen zu umgehen oder einen unspezifischen Angriff durchzuf\u00fchren.",
        "title": "Angriff"
      },
      {
        "category": "general",
        "text": "- Sonstiges",
        "title": "Betroffene Betriebssysteme"
      }
    ],
    "publisher": {
      "category": "other",
      "contact_details": "csaf-provider@cert-bund.de",
      "name": "Bundesamt f\u00fcr Sicherheit in der Informationstechnik",
      "namespace": "https://www.bsi.bund.de"
    },
    "references": [
      {
        "category": "self",
        "summary": "WID-SEC-W-2024-1687 - CSAF Version",
        "url": "https://wid.cert-bund.de/.well-known/csaf/white/2024/wid-sec-w-2024-1687.json"
      },
      {
        "category": "self",
        "summary": "WID-SEC-2024-1687 - Portal Version",
        "url": "https://wid.cert-bund.de/portal/wid/securityadvisory?name=WID-SEC-2024-1687"
      },
      {
        "category": "external",
        "summary": "Amazon Security Advisory vom 2024-07-22",
        "url": "https://aws.amazon.com/de/security/security-bulletins/AWS-2024-009/"
      },
      {
        "category": "external",
        "summary": "PyTorch GitHub vom 2024-07-22",
        "url": "https://github.com/pytorch/serve/security/advisories/GHSA-wxcx-gg9c-fwp2"
      },
      {
        "category": "external",
        "summary": "PyTorch GitHub vom 2024-07-22",
        "url": "https://github.com/pytorch/serve/security/advisories/GHSA-hhpg-v63p-wp7w"
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    "source_lang": "en-US",
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        }
      },
      "id": "WID-SEC-W-2024-1687",
      "initial_release_date": "2024-07-22T22:00:00.000+00:00",
      "revision_history": [
        {
          "date": "2024-07-22T22:00:00.000+00:00",
          "number": "1",
          "summary": "Initiale Fassung"
        }
      ],
      "status": "final",
      "version": "1"
    }
  },
  "product_tree": {
    "branches": [
      {
        "branches": [
          {
            "branches": [
              {
                "category": "product_version_range",
                "name": "TorchServer \u003c0.11.0",
                "product": {
                  "name": "Open Source PyTorch TorchServer \u003c0.11.0",
                  "product_id": "T036385"
                }
              }
            ],
            "category": "product_name",
            "name": "PyTorch"
          }
        ],
        "category": "vendor",
        "name": "Open Source"
      }
    ]
  },
  "vulnerabilities": [
    {
      "cve": "CVE-2024-35198",
      "notes": [
        {
          "category": "description",
          "text": "Es besteht eine Schwachstelle in PyTorch TorchServer aufgrund einer unsachgem\u00e4\u00dfen URL-Validierung, die nicht verhindert, dass ein Modell in den Modellspeicher heruntergeladen wird. Ein entfernter, anonymer Angreifer kann diese Schwachstelle ausnutzen, um die allowed_urls-Sicherheitspr\u00fcfung zu umgehen und so Sicherheitsma\u00dfnahmen zu umgehen."
        }
      ],
      "release_date": "2024-07-22T22:00:00.000+00:00",
      "title": "CVE-2024-35198"
    },
    {
      "cve": "CVE-2024-35199",
      "notes": [
        {
          "category": "description",
          "text": "In PyTorch TorchServer besteht eine Schwachstelle aufgrund einer gRPC-Port-Exposition, die die Ports 7070 und 7071 nicht standardm\u00e4\u00dfig an localhost bindet. Ein entfernter, anonymer Angreifer kann diese Schwachstelle ausnutzen, um nicht spezifizierte Auswirkungen zu verursachen."
        }
      ],
      "release_date": "2024-07-22T22:00:00.000+00:00",
      "title": "CVE-2024-35199"
    }
  ]
}

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
            }
          ],
          "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",
  "references": [
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Patch"
      ],
      "url": "https://github.com/pytorch/serve/pull/3082"
    },
    {
      "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",
      "tags": [
        "Patch"
      ],
      "url": "https://github.com/pytorch/serve/pull/3082"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Release Notes"
      ],
      "url": "https://github.com/pytorch/serve/releases/tag/v0.11.0"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://github.com/pytorch/serve/security/advisories/GHSA-wxcx-gg9c-fwp2"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-706"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Secondary"
    }
  ]
}

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"
}

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)

WID-SEC-W-2024-1687

FKIE_CVE-2024-35198

GHSA-WXCX-GG9C-FWP2

Impact

Patches

References

Tags

Sightings

Nomenclature