CNVD-2023-84333

Vulnerability from cnvd - Published: 2023-11-10
VLAI
Title
HCL Technologies Traveler To Do信息泄露漏洞
Description
HCL Technologies Traveler To Do为您的iPhone、iPad或iPod Touch带来HCL Notes To Do功能。 HCL Technologies Traveler To Do存在信息泄露漏洞,该漏洞是由于应用程序传输安全(ATS)设置中的缺陷引起的。攻击者可利用此漏洞获取敏感信息。
Severity
Patch Name
HCL Technologies Traveler To Do信息泄露漏洞的补丁
Patch Description
HCL Technologies Traveler To Do为您的iPhone、iPad或iPod Touch带来HCL Notes To Do功能。 HCL Technologies Traveler To Do存在信息泄露漏洞,该漏洞是由于应用程序传输安全(ATS)设置中的缺陷引起的。攻击者可利用此漏洞获取敏感信息。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

目前厂商已发布升级补丁以修复漏洞,详情请关注厂商主页: https://support.hcltechsw.com/csm?id=kb_article&sysparm_article=KB0106690

Reference
https://nvd.nist.gov/vuln/detail/CVE-2023-37511
Impacted products
Name
HCL Technologies Traveler To Do <12.0.6
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2023-37511",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2023-37511"
    }
  },
  "description": "HCL Technologies Traveler To Do\u4e3a\u60a8\u7684iPhone\u3001iPad\u6216iPod Touch\u5e26\u6765HCL Notes To Do\u529f\u80fd\u3002\n\nHCL Technologies Traveler To Do\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u662f\u7531\u4e8e\u5e94\u7528\u7a0b\u5e8f\u4f20\u8f93\u5b89\u5168\uff08ATS\uff09\u8bbe\u7f6e\u4e2d\u7684\u7f3a\u9677\u5f15\u8d77\u7684\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\uff1a\r\nhttps://support.hcltechsw.com/csm?id=kb_article\u0026sysparm_article=KB0106690",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2023-84333",
  "openTime": "2023-11-10",
  "patchDescription": "HCL Technologies Traveler To Do\u4e3a\u60a8\u7684iPhone\u3001iPad\u6216iPod Touch\u5e26\u6765HCL Notes To Do\u529f\u80fd\u3002\r\n\r\nHCL Technologies Traveler To Do\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u662f\u7531\u4e8e\u5e94\u7528\u7a0b\u5e8f\u4f20\u8f93\u5b89\u5168\uff08ATS\uff09\u8bbe\u7f6e\u4e2d\u7684\u7f3a\u9677\u5f15\u8d77\u7684\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": "HCL Technologies Traveler To Do\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "HCL Technologies Traveler To Do \u003c12.0.6"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2023-37511",
  "serverity": "\u4f4e",
  "submitTime": "2023-08-15",
  "title": "HCL Technologies Traveler To Do\u4fe1\u606f\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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