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CNVD-2021-13709

Vulnerability from cnvd - Published: 2021-03-02
VLAI
Title
HCL iNotes敏感cookie泄露漏洞
Description
HCL iNotes是印度HCL公司的一个可以对IBM Domino邮件进行管理、代办事项进行调度等办公活动管理的软件。 HCL iNotes存在敏感cookie泄露漏洞。攻击者可通过拦截HTTP会话中cookie的传输利用该漏洞捕获cookie。
Severity
Patch Name
HCL iNotes敏感cookie泄露漏洞的补丁
Patch Description
HCL iNotes是印度HCL公司的一个可以对IBM Domino邮件进行管理、代办事项进行调度等办公活动管理的软件。 HCL iNotes存在敏感cookie泄露漏洞。攻击者可通过拦截HTTP会话中cookie的传输利用该漏洞捕获cookie。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=KB0085411&sys_kb_id=3ab6ef4c1bf86c50a2f48661cd4bcbcd

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-4126
Impacted products
Name
['HCL HCL iNotes 9', 'HCL HCL iNotes 10', 'HCL HCL iNotes 11']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-4126",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-4126"
    }
  },
  "description": "HCL iNotes\u662f\u5370\u5ea6HCL\u516c\u53f8\u7684\u4e00\u4e2a\u53ef\u4ee5\u5bf9IBM Domino\u90ae\u4ef6\u8fdb\u884c\u7ba1\u7406\u3001\u4ee3\u529e\u4e8b\u9879\u8fdb\u884c\u8c03\u5ea6\u7b49\u529e\u516c\u6d3b\u52a8\u7ba1\u7406\u7684\u8f6f\u4ef6\u3002\n\nHCL iNotes\u5b58\u5728\u654f\u611fcookie\u6cc4\u9732\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u62e6\u622aHTTP\u4f1a\u8bdd\u4e2dcookie\u7684\u4f20\u8f93\u5229\u7528\u8be5\u6f0f\u6d1e\u6355\u83b7cookie\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=KB0085411\u0026sys_kb_id=3ab6ef4c1bf86c50a2f48661cd4bcbcd",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-13709",
  "openTime": "2021-03-02",
  "patchDescription": "HCL iNotes\u662f\u5370\u5ea6HCL\u516c\u53f8\u7684\u4e00\u4e2a\u53ef\u4ee5\u5bf9IBM Domino\u90ae\u4ef6\u8fdb\u884c\u7ba1\u7406\u3001\u4ee3\u529e\u4e8b\u9879\u8fdb\u884c\u8c03\u5ea6\u7b49\u529e\u516c\u6d3b\u52a8\u7ba1\u7406\u7684\u8f6f\u4ef6\u3002\r\n\r\nHCL iNotes\u5b58\u5728\u654f\u611fcookie\u6cc4\u9732\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u62e6\u622aHTTP\u4f1a\u8bdd\u4e2dcookie\u7684\u4f20\u8f93\u5229\u7528\u8be5\u6f0f\u6d1e\u6355\u83b7cookie\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 iNotes\u654f\u611fcookie\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "HCL HCL iNotes 9",
      "HCL HCL iNotes 10",
      "HCL HCL iNotes 11"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-4126",
  "serverity": "\u4e2d",
  "submitTime": "2020-12-01",
  "title": "HCL iNotes\u654f\u611fcookie\u6cc4\u9732\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

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.

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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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