Vulnerability-Lookup

CNVD-2022-42744

Vulnerability from cnvd - Published: 2022-06-02

Title

DELL EMC PowerScale代码问题漏洞

Description

DELL EMC PowerScale是美国戴尔（DELL）公司的一套适用于非结构化数据的横向扩展存储系统。 Dell EMC PowerScale OneFS存在代码问题漏洞，该漏洞源于对异常或异常情况的不当检查。具有低权限的经过身份验证的攻击者可利用该漏洞触发拒绝服务事件。

Severity

中

Patch Name

DELL EMC PowerScale代码问题漏洞的补丁

Patch Description

DELL EMC PowerScale是美国戴尔（DELL）公司的一套适用于非结构化数据的横向扩展存储系统。 Dell EMC PowerScale OneFS存在代码问题漏洞，该漏洞源于对异常或异常情况的不当检查。具有低权限的经过身份验证的攻击者可利用该漏洞触发拒绝服务事件。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://www.dell.com/support/kbdoc/000188148

Reference

https://nvd.nist.gov/vuln/detail/CVE-2021-21563

Impacted products

Name
['Dell EMC PowerScale OneFS 8.2.2', 'DELL EMC PowerScale OneFS 8.1.3', 'DELL EMC PowerScale OneFS 8.2.1', 'DELL EMC PowerScale OneFS 9.0.0.0', 'DELL EMC PowerScale OneFS 9.1.0.0']

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-21563",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-21563"
    }
  },
  "description": "DELL EMC PowerScale\u662f\u7f8e\u56fd\u6234\u5c14\uff08DELL\uff09\u516c\u53f8\u7684\u4e00\u5957\u9002\u7528\u4e8e\u975e\u7ed3\u6784\u5316\u6570\u636e\u7684\u6a2a\u5411\u6269\u5c55\u5b58\u50a8\u7cfb\u7edf\u3002\n\nDell EMC PowerScale OneFS\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bf9\u5f02\u5e38\u6216\u5f02\u5e38\u60c5\u51b5\u7684\u4e0d\u5f53\u68c0\u67e5\u3002\u5177\u6709\u4f4e\u6743\u9650\u7684\u7ecf\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u7684\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u89e6\u53d1\u62d2\u7edd\u670d\u52a1\u4e8b\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://www.dell.com/support/kbdoc/000188148",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-42744",
  "openTime": "2022-06-02",
  "patchDescription": "DELL EMC PowerScale\u662f\u7f8e\u56fd\u6234\u5c14\uff08DELL\uff09\u516c\u53f8\u7684\u4e00\u5957\u9002\u7528\u4e8e\u975e\u7ed3\u6784\u5316\u6570\u636e\u7684\u6a2a\u5411\u6269\u5c55\u5b58\u50a8\u7cfb\u7edf\u3002\r\n\r\nDell EMC PowerScale OneFS\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bf9\u5f02\u5e38\u6216\u5f02\u5e38\u60c5\u51b5\u7684\u4e0d\u5f53\u68c0\u67e5\u3002\u5177\u6709\u4f4e\u6743\u9650\u7684\u7ecf\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u7684\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u89e6\u53d1\u62d2\u7edd\u670d\u52a1\u4e8b\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": "DELL EMC PowerScale\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Dell EMC PowerScale OneFS 8.2.2",
      "DELL EMC PowerScale OneFS 8.1.3",
      "DELL EMC PowerScale OneFS 8.2.1",
      "DELL EMC PowerScale OneFS 9.0.0.0",
      "DELL EMC PowerScale OneFS 9.1.0.0"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-21563",
  "serverity": "\u4e2d",
  "submitTime": "2021-08-05",
  "title": "DELL EMC PowerScale\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e"
}

CVE-2021-21563 (GCVE-0-2021-21563)

Vulnerability from cvelistv5 – Published: 2021-08-02 23:45 – Updated: 2024-09-16 18:07

Summary

Dell EMC PowerScale OneFS versions 8.1.2-9.1.0.x contain an Improper Check for Unusual or Exceptional Conditions in its auditing component.This can lead to an authenticated user with low-privileges to trigger a denial of service event.

Severity

6.5 (Medium)


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

CWE

CWE-754 - Improper Check for Unusual or Exceptional Conditions

Assigner

dell mitre root

References

1 reference

URL	Tags
https://www.dell.com/support/kbdoc/000188148	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Dell	PowerScale OneFS	Affected: 8.1.2-9.1.0.x

Date Public

2021-06-09 00:00

Show details on NVD website

JSON

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          "dateUpdated": "2024-08-03T18:16:23.384Z",
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      ],
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            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 6.5,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
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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.