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CNVD-2021-26115

Vulnerability from cnvd - Published: 2021-04-09
VLAI
Title
Cisco Umbrella CSV公式注入漏洞
Description
Cisco Umbrella是一个云安全平台,可提供抵御互联网威胁的第一道防线。 Cisco Umbrella的“管理员审核日志导出”功能存在CSV公式注入漏洞。该漏洞源于对CSV文件中的公式元素的中性化不当。攻击者可利用该漏洞将恶意公式元素注入CSV文件,从而可操纵CSV文件中的数据或实现代码执行。
Severity
Patch Name
Cisco Umbrella CSV公式注入漏洞的补丁
Patch Description
Cisco Umbrella是一个云安全平台,可提供抵御互联网威胁的第一道防线。 Cisco Umbrella的“管理员审核日志导出”功能存在CSV公式注入漏洞。该漏洞源于对CSV文件中的公式元素的中性化不当。攻击者可利用该漏洞将恶意公式元素注入CSV文件,从而可操纵CSV文件中的数据或实现代码执行。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://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-umbrella-inject-gbZGHP5T

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-1474
Impacted products
Name
Cisco Umbrella
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-1474",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-1474"
    }
  },
  "description": "Cisco Umbrella\u662f\u4e00\u4e2a\u4e91\u5b89\u5168\u5e73\u53f0\uff0c\u53ef\u63d0\u4f9b\u62b5\u5fa1\u4e92\u8054\u7f51\u5a01\u80c1\u7684\u7b2c\u4e00\u9053\u9632\u7ebf\u3002\n\nCisco Umbrella\u7684\u201c\u7ba1\u7406\u5458\u5ba1\u6838\u65e5\u5fd7\u5bfc\u51fa\u201d\u529f\u80fd\u5b58\u5728CSV\u516c\u5f0f\u6ce8\u5165\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bf9CSV\u6587\u4ef6\u4e2d\u7684\u516c\u5f0f\u5143\u7d20\u7684\u4e2d\u6027\u5316\u4e0d\u5f53\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5c06\u6076\u610f\u516c\u5f0f\u5143\u7d20\u6ce8\u5165CSV\u6587\u4ef6\uff0c\u4ece\u800c\u53ef\u64cd\u7eb5CSV\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u6216\u5b9e\u73b0\u4ee3\u7801\u6267\u884c\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://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-umbrella-inject-gbZGHP5T",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-26115",
  "openTime": "2021-04-09",
  "patchDescription": "Cisco Umbrella\u662f\u4e00\u4e2a\u4e91\u5b89\u5168\u5e73\u53f0\uff0c\u53ef\u63d0\u4f9b\u62b5\u5fa1\u4e92\u8054\u7f51\u5a01\u80c1\u7684\u7b2c\u4e00\u9053\u9632\u7ebf\u3002\r\n\r\nCisco Umbrella\u7684\u201c\u7ba1\u7406\u5458\u5ba1\u6838\u65e5\u5fd7\u5bfc\u51fa\u201d\u529f\u80fd\u5b58\u5728CSV\u516c\u5f0f\u6ce8\u5165\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bf9CSV\u6587\u4ef6\u4e2d\u7684\u516c\u5f0f\u5143\u7d20\u7684\u4e2d\u6027\u5316\u4e0d\u5f53\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5c06\u6076\u610f\u516c\u5f0f\u5143\u7d20\u6ce8\u5165CSV\u6587\u4ef6\uff0c\u4ece\u800c\u53ef\u64cd\u7eb5CSV\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u6216\u5b9e\u73b0\u4ee3\u7801\u6267\u884c\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": "Cisco Umbrella CSV\u516c\u5f0f\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Cisco Umbrella"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-1474",
  "serverity": "\u4e2d",
  "submitTime": "2021-04-08",
  "title": "Cisco Umbrella CSV\u516c\u5f0f\u6ce8\u5165\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.
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  • 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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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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