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CNVD-2022-61625

Vulnerability from cnvd - Published: 2022-09-04
VLAI
Title
FANUC ROBOGUIDE访问控制错误漏洞
Description
FANUC ROBOGUIDE是日本FANUC公司的一款机器人仿真软件。 ROBOGUIDE v9.40083.00.05及之前版本存在访问控制错误漏洞,该漏洞源于不会限制或错误地限制未经授权的参与者对资源的访问。攻击者可利用此漏洞通过获取权限,读取敏感信息,执行命令,逃避检测等来危害软件的安全性。
Severity
Patch Name
FANUC ROBOGUIDE访问控制错误漏洞的补丁
Patch Description
FANUC ROBOGUIDE是日本FANUC公司的一款机器人仿真软件。 ROBOGUIDE v9.40083.00.05及之前版本存在访问控制错误漏洞,该漏洞源于不会限制或错误地限制未经授权的参与者对资源的访问。攻击者可利用此漏洞通过获取权限,读取敏感信息,执行命令,逃避检测等来危害软件的安全性。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://myportal.fanucamerica.com/

Reference
https://us-cert.cisa.gov/ics/advisories/icsa-22-109-03
Impacted products
Name
FANUC ROBOGUIDE <=v9.40083.00.05
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-43986",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-43986"
    }
  },
  "description": "FANUC ROBOGUIDE\u662f\u65e5\u672cFANUC\u516c\u53f8\u7684\u4e00\u6b3e\u673a\u5668\u4eba\u4eff\u771f\u8f6f\u4ef6\u3002\n\nROBOGUIDE v9.40083.00.05\u53ca\u4e4b\u524d\u7248\u672c\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u4e0d\u4f1a\u9650\u5236\u6216\u9519\u8bef\u5730\u9650\u5236\u672a\u7ecf\u6388\u6743\u7684\u53c2\u4e0e\u8005\u5bf9\u8d44\u6e90\u7684\u8bbf\u95ee\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u901a\u8fc7\u83b7\u53d6\u6743\u9650\uff0c\u8bfb\u53d6\u654f\u611f\u4fe1\u606f\uff0c\u6267\u884c\u547d\u4ee4\uff0c\u9003\u907f\u68c0\u6d4b\u7b49\u6765\u5371\u5bb3\u8f6f\u4ef6\u7684\u5b89\u5168\u6027\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://myportal.fanucamerica.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-61625",
  "openTime": "2022-09-04",
  "patchDescription": "FANUC ROBOGUIDE\u662f\u65e5\u672cFANUC\u516c\u53f8\u7684\u4e00\u6b3e\u673a\u5668\u4eba\u4eff\u771f\u8f6f\u4ef6\u3002\r\n\r\nROBOGUIDE v9.40083.00.05\u53ca\u4e4b\u524d\u7248\u672c\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u4e0d\u4f1a\u9650\u5236\u6216\u9519\u8bef\u5730\u9650\u5236\u672a\u7ecf\u6388\u6743\u7684\u53c2\u4e0e\u8005\u5bf9\u8d44\u6e90\u7684\u8bbf\u95ee\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u901a\u8fc7\u83b7\u53d6\u6743\u9650\uff0c\u8bfb\u53d6\u654f\u611f\u4fe1\u606f\uff0c\u6267\u884c\u547d\u4ee4\uff0c\u9003\u907f\u68c0\u6d4b\u7b49\u6765\u5371\u5bb3\u8f6f\u4ef6\u7684\u5b89\u5168\u6027\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": "FANUC ROBOGUIDE\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "FANUC ROBOGUIDE \u003c=v9.40083.00.05"
  },
  "referenceLink": "https://us-cert.cisa.gov/ics/advisories/icsa-22-109-03",
  "serverity": "\u4e2d",
  "submitTime": "2022-04-21",
  "title": "FANUC ROBOGUIDE\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\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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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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