Vulnerability-Lookup

CNVD-2022-52100

Vulnerability from cnvd - Published: 2022-07-18

Title

Huawei MindSpore Community Transpose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 Transpose存在信息泄露漏洞，该漏洞源于当 perm 元素中的值大于或等于 input_shape 的大小时将访问敏感数据。攻击者可利用此漏洞获取敏感信息。

Severity

中

Patch Name

Huawei MindSpore Community Transpose信息泄露漏洞的补丁

Patch Description

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-2021-33649

Impacted products

Name
Huawei MindSpore Community >=1.0.0，<1.3.0

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-33649",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-33649"
    }
  },
  "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 Transpose\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5f53 perm \u5143\u7d20\u4e2d\u7684\u503c\u5927\u4e8e\u6216\u7b49\u4e8e input_shape \u7684\u5927\u5c0f\u65f6\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-2022-52100",
  "openTime": "2022-07-18",
  "patchDescription": "Huawei MindSpore Community\u662f\u4e2d\u56fd\u534e\u4e3a\uff08Huawei\uff09\u516c\u53f8\u7684\u5f00\u6e90\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u3002\r\n\r\nHuawei MindSpore Community Transpose\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5f53 perm \u5143\u7d20\u4e2d\u7684\u503c\u5927\u4e8e\u6216\u7b49\u4e8e input_shape \u7684\u5927\u5c0f\u65f6\u5c06\u8bbf\u95ee\u654f\u611f\u6570\u636e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\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": "Huawei MindSpore Community Transpose\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Huawei MindSpore Community \u003e=1.0.0\uff0c\u003c1.3.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-33649",
  "serverity": "\u4e2d",
  "submitTime": "2022-06-30",
  "title": "Huawei MindSpore Community Transpose\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2021-33649 (GCVE-0-2021-33649)

Vulnerability from cvelistv5 – Published: 2022-06-27 16:20 – Updated: 2024-08-03 23:58

Summary

When performing the inference shape operation of the Transpose operator, if the value in the perm element is greater than or equal to the size of the input_shape, it will access data outside of bounds of input_shape 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: >= 0.7.0-beta, < 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-2021-006_en.md"
          }
        ],
        "title": "CVE Program Container"
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    "cna": {
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          "product": "openEuler:mindspore",
          "vendor": "n/a",
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      },
      "references": [
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          "tags": [
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          ],
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        }
      ],
      "x_legacyV4Record": {
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          "ID": "CVE-2021-33649",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
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                      "version": {
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  "cveMetadata": {
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    "dateReserved": "2021-05-28T00:00:00.000Z",
    "dateUpdated": "2024-08-03T23:58:22.077Z",
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  },
  "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.