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CNVD-2022-61832

Vulnerability from cnvd - Published: 2022-09-06
VLAI
Title
Atlassian Fisheye和Crucible暴力破解漏洞
Description
Atlassian Fisheye是一套源代码深度查看软件。Atlassian Crucible是一套代码审查工具。 Atlassian Fisheye和Crucible存在暴力破解漏洞,该漏洞是由于未能检查用户是否超出其最大失败登录限制。攻击者可利用此漏洞绕过身份验证并访问系统。
Severity
Patch Name
Atlassian Fisheye和Crucible暴力破解漏洞的补丁
Patch Description
Atlassian Fisheye是一套源代码深度查看软件。Atlassian Crucible是一套代码审查工具。 Atlassian Fisheye和Crucible存在暴力破解漏洞,该漏洞是由于未能检查用户是否超出其最大失败登录限制。攻击者可利用此漏洞绕过身份验证并访问系统。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://jira.atlassian.com/browse/CRUC-8523

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-43958
Impacted products
Name
['Atlassian Crucible <4.8.9', 'Atlassian FishEye <4.8.9']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-43958",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-43958"
    }
  },
  "description": "Atlassian Fisheye\u662f\u4e00\u5957\u6e90\u4ee3\u7801\u6df1\u5ea6\u67e5\u770b\u8f6f\u4ef6\u3002Atlassian Crucible\u662f\u4e00\u5957\u4ee3\u7801\u5ba1\u67e5\u5de5\u5177\u3002\n\nAtlassian Fisheye\u548cCrucible\u5b58\u5728\u66b4\u529b\u7834\u89e3\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u662f\u7531\u4e8e\u672a\u80fd\u68c0\u67e5\u7528\u6237\u662f\u5426\u8d85\u51fa\u5176\u6700\u5927\u5931\u8d25\u767b\u5f55\u9650\u5236\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u7ed5\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u5e76\u8bbf\u95ee\u7cfb\u7edf\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://jira.atlassian.com/browse/CRUC-8523",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-61832",
  "openTime": "2022-09-06",
  "patchDescription": "Atlassian Fisheye\u662f\u4e00\u5957\u6e90\u4ee3\u7801\u6df1\u5ea6\u67e5\u770b\u8f6f\u4ef6\u3002Atlassian Crucible\u662f\u4e00\u5957\u4ee3\u7801\u5ba1\u67e5\u5de5\u5177\u3002\r\n\r\nAtlassian Fisheye\u548cCrucible\u5b58\u5728\u66b4\u529b\u7834\u89e3\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u662f\u7531\u4e8e\u672a\u80fd\u68c0\u67e5\u7528\u6237\u662f\u5426\u8d85\u51fa\u5176\u6700\u5927\u5931\u8d25\u767b\u5f55\u9650\u5236\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u7ed5\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u5e76\u8bbf\u95ee\u7cfb\u7edf\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": "Atlassian Fisheye\u548cCrucible\u66b4\u529b\u7834\u89e3\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Atlassian Crucible \u003c4.8.9",
      "Atlassian FishEye \u003c4.8.9"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-43958",
  "serverity": "\u9ad8",
  "submitTime": "2022-03-17",
  "title": "Atlassian Fisheye\u548cCrucible\u66b4\u529b\u7834\u89e3\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.
  • 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.

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Detection rules are retrieved from Rulezet.

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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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