Vulnerability-Lookup

CNVD-2021-101152

Vulnerability from cnvd - Published: 2021-12-21

Title

Nvidia Caffe数据伪造问题漏洞

Description

Nvidia Caffe是美国英伟达（Nvidia）公司的一个深度学习框架。 Nvidia Caffe 0.17.4之前版本存在数据伪造问题漏洞，攻击者可利用该漏洞向pypi.org发布恶意文件，导致用户在NVCaffe中安装该文件。

Severity

中

Patch Name

Nvidia Caffe数据伪造问题漏洞的补丁

Patch Description

Nvidia Caffe是美国英伟达（Nvidia）公司的一个深度学习框架。 Nvidia Caffe 0.17.4之前版本存在数据伪造问题漏洞，攻击者可利用该漏洞向pypi.org发布恶意文件，导致用户在NVCaffe中安装该文件。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： https://github.com/NVIDIA/caffe/security/advisories/GHSA-fmpp-8pwg-vwh9

Reference

https://github.com/NVIDIA/caffe/security/advisories/GHSA-fmpp-8pwg-vwh9

Impacted products

Name
NVIDIA Caffe <0.17.4

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-39158"
    }
  },
  "description": "Nvidia Caffe\u662f\u7f8e\u56fd\u82f1\u4f1f\u8fbe\uff08Nvidia\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u3002\n\nNvidia Caffe 0.17.4\u4e4b\u524d\u7248\u672c\u5b58\u5728\u6570\u636e\u4f2a\u9020\u95ee\u9898\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5411pypi.org\u53d1\u5e03\u6076\u610f\u6587\u4ef6\uff0c\u5bfc\u81f4\u7528\u6237\u5728NVCaffe\u4e2d\u5b89\u88c5\u8be5\u6587\u4ef6\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/NVIDIA/caffe/security/advisories/GHSA-fmpp-8pwg-vwh9",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-101152",
  "openTime": "2021-12-21",
  "patchDescription": "Nvidia Caffe\u662f\u7f8e\u56fd\u82f1\u4f1f\u8fbe\uff08Nvidia\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u3002\r\n\r\nNvidia Caffe 0.17.4\u4e4b\u524d\u7248\u672c\u5b58\u5728\u6570\u636e\u4f2a\u9020\u95ee\u9898\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5411pypi.org\u53d1\u5e03\u6076\u610f\u6587\u4ef6\uff0c\u5bfc\u81f4\u7528\u6237\u5728NVCaffe\u4e2d\u5b89\u88c5\u8be5\u6587\u4ef6\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Nvidia Caffe\u6570\u636e\u4f2a\u9020\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "NVIDIA Caffe \u003c0.17.4"
  },
  "referenceLink": "https://github.com/NVIDIA/caffe/security/advisories/GHSA-fmpp-8pwg-vwh9",
  "serverity": "\u4e2d",
  "submitTime": "2021-08-25",
  "title": "Nvidia Caffe\u6570\u636e\u4f2a\u9020\u95ee\u9898\u6f0f\u6d1e"
}

CVE-2021-39158 (GCVE-0-2021-39158)

Vulnerability from cvelistv5 – Published: 2021-08-23 20:15 – Updated: 2024-08-04 01:58

Title

Dependency injection in NVCaffe

Summary

NVCaffe's python required dependencies list used to contain `gfortran`version prior to 0.17.4, entry which does not exist in the repository pypi.org. An attacker could potentially have posted malicious files to pypi.org causing a user to install it within NVCaffe.

Severity

8.8 (High)


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

CWE

CWE-345 - Insufficient Verification of Data Authenticity

Assigner

GitHub_M mitre root

References

1 reference

URL	Tags
https://github.com/NVIDIA/caffe/security/advisori…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
NVIDIA	caffe	Affected: <= 0.17.4

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-04T01:58:18.277Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_CONFIRM",
              "x_transferred"
            ],
            "url": "https://github.com/NVIDIA/caffe/security/advisories/GHSA-fmpp-8pwg-vwh9"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "caffe",
          "vendor": "NVIDIA",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c= 0.17.4"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "NVCaffe\u0027s python required dependencies list used to contain `gfortran`version prior to 0.17.4, entry which does not exist in the repository pypi.org. An attacker could potentially have posted malicious files to pypi.org causing a user to install it within NVCaffe."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-345",
              "description": "CWE-345: Insufficient Verification of Data Authenticity",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2021-08-23T20:15:09.000Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/NVIDIA/caffe/security/advisories/GHSA-fmpp-8pwg-vwh9"
        }
      ],
      "source": {
        "advisory": "GHSA-fmpp-8pwg-vwh9",
        "discovery": "UNKNOWN"
      },
      "title": "Dependency injection in NVCaffe",
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "security-advisories@github.com",
          "ID": "CVE-2021-39158",
          "STATE": "PUBLIC",
          "TITLE": "Dependency injection in NVCaffe"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "caffe",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "\u003c= 0.17.4"
                          }
                        ]
                      }
                    }
                  ]
                },
                "vendor_name": "NVIDIA"
              }
            ]
          }
        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "eng",
              "value": "NVCaffe\u0027s python required dependencies list used to contain `gfortran`version prior to 0.17.4, entry which does not exist in the repository pypi.org. An attacker could potentially have posted malicious files to pypi.org causing a user to install it within NVCaffe."
            }
          ]
        },
        "impact": {
          "cvss": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.1"
          }
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "CWE-345: Insufficient Verification of Data Authenticity"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://github.com/NVIDIA/caffe/security/advisories/GHSA-fmpp-8pwg-vwh9",
              "refsource": "CONFIRM",
              "url": "https://github.com/NVIDIA/caffe/security/advisories/GHSA-fmpp-8pwg-vwh9"
            }
          ]
        },
        "source": {
          "advisory": "GHSA-fmpp-8pwg-vwh9",
          "discovery": "UNKNOWN"
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2021-39158",
    "datePublished": "2021-08-23T20:15:09.000Z",
    "dateReserved": "2021-08-16T00:00:00.000Z",
    "dateUpdated": "2024-08-04T01:58:18.277Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.