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CNVD-2023-84327

Vulnerability from cnvd - Published: 2023-11-09
VLAI
Title
HCL Technologies Compass弱密码漏洞
Description
HCL Technologies Compass是美国HCL Technologies公司的一个低代码变更管理软件。管理全方位的测试活动以及与开发人员工具的集成。 HCL Technologies Compass存在弱密码漏洞,该漏洞源于容易受到不安全密码要求的影响,攻击者利用该漏洞可以轻松猜出密码并获得对用户帐户的访问权限。
Severity
Patch Name
HCL Technologies Compass弱密码漏洞的补丁
Patch Description
HCL Technologies Compass是美国HCL Technologies公司的一个低代码变更管理软件。管理全方位的测试活动以及与开发人员工具的集成。 HCL Technologies Compass存在弱密码漏洞,该漏洞源于容易受到不安全密码要求的影响,攻击者利用该漏洞可以轻松猜出密码并获得对用户帐户的访问权限。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://support.hcltechsw.com/csm?id=kb_article&sysparm_article=KB0107512

Reference
https://support.hcltechsw.com/csm?id=kb_article&sysparm_article=KB0107512
Impacted products
Name
['HCL Technologies HCL Compass >=2.0.0,<=2.0.3', 'HCL Technologies HCL Compass 2.1.0', 'HCL Technologies HCL Compass >=2.2.0,<=2.2.3']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2023-37503",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2023-37503"
    }
  },
  "description": "HCL Technologies Compass\u662f\u7f8e\u56fdHCL Technologies\u516c\u53f8\u7684\u4e00\u4e2a\u4f4e\u4ee3\u7801\u53d8\u66f4\u7ba1\u7406\u8f6f\u4ef6\u3002\u7ba1\u7406\u5168\u65b9\u4f4d\u7684\u6d4b\u8bd5\u6d3b\u52a8\u4ee5\u53ca\u4e0e\u5f00\u53d1\u4eba\u5458\u5de5\u5177\u7684\u96c6\u6210\u3002\n\nHCL Technologies Compass\u5b58\u5728\u5f31\u5bc6\u7801\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bb9\u6613\u53d7\u5230\u4e0d\u5b89\u5168\u5bc6\u7801\u8981\u6c42\u7684\u5f71\u54cd\uff0c\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u53ef\u4ee5\u8f7b\u677e\u731c\u51fa\u5bc6\u7801\u5e76\u83b7\u5f97\u5bf9\u7528\u6237\u5e10\u6237\u7684\u8bbf\u95ee\u6743\u9650\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://support.hcltechsw.com/csm?id=kb_article\u0026sysparm_article=KB0107512",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2023-84327",
  "openTime": "2023-11-09",
  "patchDescription": "HCL Technologies Compass\u662f\u7f8e\u56fdHCL Technologies\u516c\u53f8\u7684\u4e00\u4e2a\u4f4e\u4ee3\u7801\u53d8\u66f4\u7ba1\u7406\u8f6f\u4ef6\u3002\u7ba1\u7406\u5168\u65b9\u4f4d\u7684\u6d4b\u8bd5\u6d3b\u52a8\u4ee5\u53ca\u4e0e\u5f00\u53d1\u4eba\u5458\u5de5\u5177\u7684\u96c6\u6210\u3002\r\n\r\nHCL Technologies Compass\u5b58\u5728\u5f31\u5bc6\u7801\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bb9\u6613\u53d7\u5230\u4e0d\u5b89\u5168\u5bc6\u7801\u8981\u6c42\u7684\u5f71\u54cd\uff0c\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u53ef\u4ee5\u8f7b\u677e\u731c\u51fa\u5bc6\u7801\u5e76\u83b7\u5f97\u5bf9\u7528\u6237\u5e10\u6237\u7684\u8bbf\u95ee\u6743\u9650\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": "HCL Technologies Compass\u5f31\u5bc6\u7801\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "HCL Technologies HCL Compass \u003e=2.0.0,\u003c=2.0.3",
      "HCL Technologies HCL Compass 2.1.0",
      "HCL Technologies HCL Compass \u003e=2.2.0\uff0c\u003c=2.2.3"
    ]
  },
  "referenceLink": "https://support.hcltechsw.com/csm?id=kb_article\u0026sysparm_article=KB0107512",
  "serverity": "\u9ad8",
  "submitTime": "2023-10-23",
  "title": "HCL Technologies Compass\u5f31\u5bc6\u7801\u6f0f\u6d1e"
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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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.
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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.


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