Vulnerability-Lookup

GHSA-HRF3-622Q-8366

Vulnerability from github – Published: 2022-06-22 21:22 – Updated: 2022-06-22 21:22

Summary

Unsafe yaml deserialization in NVFlare

Details

Impact

NVFLARE contains a vulnerability in its utils module, where YAML files are loaded via yaml.load() instead of yaml.safe_load(). The deserialization of Untrusted Data, may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity.

All versions before 2.1.2 are affected. CVSS Score = 9.8 AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Patches

The patch will be included in nvflare==2.1.2

Workarounds

Change yaml.load() to yaml.safe_load()

Additional information

Issue Found by: Oliver Sellwood (@Nintorac)

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": "nvflare"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-31605"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-502"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-06-22T21:22:46Z",
    "nvd_published_at": "2022-07-01T18:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "### Impact\nNVFLARE contains a vulnerability in its utils module, where YAML files are loaded via yaml.load() instead of yaml.safe_load(). The deserialization of Untrusted Data, may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity.\n\nAll versions before 2.1.2 are affected.\nCVSS Score = 9.8\n[AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H](https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnvd.nist.gov%2Fvuln-metrics%2Fcvss%2Fv3-calculator%3Fvector%3DAV%3AN%2FAC%3AL%2FPR%3AN%2FUI%3AN%2FS%3AU%2FC%3AH%2FI%3AH%2FA%3AH\u0026data=05%7C01%7Cchesterc%40nvidia.com%7Ce9600bde16854b0b380008da4fc544f7%7C43083d15727340c1b7db39efd9ccc17a%7C0%7C0%7C637910005925574215%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C\u0026sdata=5kBrXEmAbqp8R31JCH%2FG95MUly72UPVihnBwiRFmvBY%3D\u0026reserved=0)\n\n\n### Patches\n\nThe patch will be included in nvflare==2.1.2\n\n\n### Workarounds\nChange yaml.load() to yaml.safe_load()\n\n### Additional information\nIssue Found by: Oliver Sellwood (@Nintorac)\n\n",
  "id": "GHSA-hrf3-622q-8366",
  "modified": "2022-06-22T21:22:46Z",
  "published": "2022-06-22T21:22:46Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/NVIDIA/NVFlare/security/advisories/GHSA-hrf3-622q-8366"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-31605"
    },
    {
      "type": "WEB",
      "url": "https://github.com/NVIDIA/NVFlare/commit/4de9782697ecb12f39bcae83221bd8d3498959be"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/NVIDIA/NVFlare"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/nvflare/PYSEC-2022-232.yaml"
    }
  ],
  "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": "Unsafe yaml deserialization in NVFlare"
}

CVE-2022-31605 (GCVE-0-2022-31605)

Vulnerability from cvelistv5 – Published: 2022-07-01 17:15 – Updated: 2024-08-03 07:26

Summary

NVFLARE, versions prior to 2.1.2, contains a vulnerability in its utils module, where YAML files are loaded via yaml.load() instead of yaml.safe_load(). The deserialization of Untrusted Data, may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity.

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-502 - Allocation of Resources Without Limits or Throttling

Assigner

nvidia mitre root

References

1 reference

URL	Tags
https://github.com/NVIDIA/NVFlare/security/adviso…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
NVIDIA	NVIDIA FLARE	Affected: All versions prior to 2.1.2

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-03T07:26:00.993Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/NVIDIA/NVFlare/security/advisories/GHSA-hrf3-622q-8366"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "NVIDIA FLARE",
          "vendor": "NVIDIA",
          "versions": [
            {
              "status": "affected",
              "version": "All versions prior to 2.1.2"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "NVFLARE, versions prior to 2.1.2, contains a vulnerability in its utils module, where YAML files are loaded via yaml.load() instead of yaml.safe_load(). The deserialization of Untrusted Data, may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity."
        }
      ],
      "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": [
            {
              "cweId": "CWE-502",
              "description": "CWE-502: Allocation of Resources Without Limits or Throttling",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2022-07-01T17:15:22.000Z",
        "orgId": "9576f279-3576-44b5-a4af-b9a8644b2de6",
        "shortName": "nvidia"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/NVIDIA/NVFlare/security/advisories/GHSA-hrf3-622q-8366"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "psirt@nvidia.com",
          "ID": "CVE-2022-31605",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "NVIDIA FLARE",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "All versions prior to 2.1.2"
                          }
                        ]
                      }
                    }
                  ]
                },
                "vendor_name": "NVIDIA"
              }
            ]
          }
        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "eng",
              "value": "NVFLARE, versions prior to 2.1.2, contains a vulnerability in its utils module, where YAML files are loaded via yaml.load() instead of yaml.safe_load(). The deserialization of Untrusted Data, may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity."
            }
          ]
        },
        "impact": {
          "cvss": {
            "baseScore": 9.8,
            "baseSeverity": "High",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          }
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "CWE-502: Allocation of Resources Without Limits or Throttling"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://github.com/NVIDIA/NVFlare/security/advisories/GHSA-hrf3-622q-8366",
              "refsource": "MISC",
              "url": "https://github.com/NVIDIA/NVFlare/security/advisories/GHSA-hrf3-622q-8366"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "9576f279-3576-44b5-a4af-b9a8644b2de6",
    "assignerShortName": "nvidia",
    "cveId": "CVE-2022-31605",
    "datePublished": "2022-07-01T17:15:22.000Z",
    "dateReserved": "2022-05-24T00:00:00.000Z",
    "dateUpdated": "2024-08-03T07:26:00.993Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

PYSEC-2022-232

Vulnerability from pysec - Published: 2022-07-01 18:15 - Updated: 2023-06-05 01:12

Details

Impacted products

Name	purl
nvflare	pkg:pypi/nvflare

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "nvflare",
        "purl": "pkg:pypi/nvflare"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.1.3",
        "0.9.0",
        "1.0.0",
        "1.0.1",
        "1.0.2",
        "1.1.0",
        "1.1.1",
        "2.0.0",
        "2.0.1",
        "2.0.10",
        "2.0.11",
        "2.0.12",
        "2.0.13",
        "2.0.14",
        "2.0.15",
        "2.0.16",
        "2.0.2",
        "2.0.3",
        "2.0.4",
        "2.0.5",
        "2.0.6",
        "2.0.7",
        "2.0.8",
        "2.0.9",
        "2.1.0",
        "2.1.1",
        "2.0.18",
        "2.0.19"
      ]
    }
  ],
  "aliases": [
    "CVE-2022-31605",
    "GHSA-hrf3-622q-8366"
  ],
  "details": "NVFLARE, versions prior to 2.1.2, contains a vulnerability in its utils module, where YAML files are loaded via yaml.load() instead of yaml.safe_load(). The deserialization of Untrusted Data, may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity.",
  "id": "PYSEC-2022-232",
  "modified": "2023-06-05T01:12:56.865026Z",
  "published": "2022-07-01T18:15:00Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://github.com/NVIDIA/NVFlare/security/advisories/GHSA-hrf3-622q-8366"
    }
  ]
}

Sightings

Author	Source	Type	Date	Other

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.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

Action not permitted

GHSA-HRF3-622Q-8366

Impact

Patches

Workarounds

Additional information

CVE-2022-31605 (GCVE-0-2022-31605)

PYSEC-2022-232

Tags

Sightings

Nomenclature

Related by attack behaviour