Vulnerability-Lookup

CNVD-2022-52099

Vulnerability from cnvd - Published: 2022-07-18

Title

Huawei MindSpore Community SparseToDense信息泄露漏洞

Description

Huawei MindSpore Community是中国华为（Huawei）公司的开源深度学习框架。 Huawei MindSpore Community SparseToDense存在信息泄露漏洞，该漏洞源于当输入数字少于三个时，将访问敏感数据。攻击者可利用此漏洞获取敏感信息。

Severity

中

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： https://gitee.com/mindspore/community/blob/master/security/cve_patch/mssa-2021-005.patch

Reference

https://nvd.nist.gov/vuln/detail/CVE-2021-33650

Impacted products

Name
Huawei MindSpore Community >=1.2.0，<1.3.0

Show details on source website

JSON

To clipboard

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-33650",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-33650"
    }
  },
  "description": "Huawei MindSpore Community\u662f\u4e2d\u56fd\u534e\u4e3a\uff08Huawei\uff09\u516c\u53f8\u7684\u5f00\u6e90\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u3002\n\nHuawei MindSpore Community SparseToDense\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5f53\u8f93\u5165\u6570\u5b57\u5c11\u4e8e\u4e09\u4e2a\u65f6\uff0c\u5c06\u8bbf\u95ee\u654f\u611f\u6570\u636e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\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://gitee.com/mindspore/community/blob/master/security/cve_patch/mssa-2021-005.patch",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-52099",
  "openTime": "2022-07-18",
  "products": {
    "product": "Huawei MindSpore Community \u003e=1.2.0\uff0c\u003c1.3.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-33650",
  "serverity": "\u4e2d",
  "submitTime": "2022-06-30",
  "title": "Huawei MindSpore Community SparseToDense\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2021-33650 (GCVE-0-2021-33650)

Vulnerability from cvelistv5 – Published: 2022-06-27 16:24 – Updated: 2024-08-03 23:58

Summary

When performing the inference shape operation of the SparseToDense operator, if the number of inputs is less than three, it will access data outside of bounds of inputs which allocated from heap buffers.

Severity

No CVSS data available.

CWE

CWE-125 - Out-of-bounds Read

Assigner

openEuler mitre root

References

1 reference

URL	Tags
https://gitee.com/mindspore/community/blob/master…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
n/a	openEuler:mindspore	Affected: >= 1.2.0, < 1.3.0

Show details on NVD website

JSON

To clipboard

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            ],
            "url": "https://gitee.com/mindspore/community/blob/master/security/security_advisory_list/mssa-2021-005_en.md"
          }
        ],
        "title": "CVE Program Container"
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        }
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        "shortName": "openEuler"
      },
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          "tags": [
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          "url": "https://gitee.com/mindspore/community/blob/master/security/security_advisory_list/mssa-2021-005_en.md"
        }
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  "cveMetadata": {
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}

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.