GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CNVD-2016-12705

Vulnerability from cnvd - Published: 2016-12-21
VLAI
Title
Apple iOS APPLE-SA-2016-12-12-1存在多个漏洞(CNVD-2016-12705)
Description
Apple iOS是为移动设备所开发的一套操作系统。 Apple iOS存在多个漏洞。攻击者可以利用漏洞绕过安全限制,执行任意代码或未授权操作,获取敏感信息。
Severity
Patch Name
Apple iOS APPLE-SA-2016-12-12-1存在多个漏洞(CNVD-2016-12705)的补丁
Patch Description
Apple iOS是为移动设备所开发的一套操作系统。 Apple iOS存在多个漏洞。攻击者可以利用漏洞绕过安全限制,执行任意代码或未授权操作,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

厂商已发布了漏洞修复程序,请及时关注更新: http://www.apple.com/ios/ios-10/

Reference
http://www.securityfocus.com/bid/94850
Impacted products
Name
Apple IOS <10.2
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "94850"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-7634"
    }
  },
  "description": "Apple iOS\u662f\u4e3a\u79fb\u52a8\u8bbe\u5907\u6240\u5f00\u53d1\u7684\u4e00\u5957\u64cd\u4f5c\u7cfb\u7edf\u3002\r\n\r\nApple iOS\u5b58\u5728\u591a\u4e2a\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u6f0f\u6d1e\u7ed5\u8fc7\u5b89\u5168\u9650\u5236\uff0c\u6267\u884c\u4efb\u610f\u4ee3\u7801\u6216\u672a\u6388\u6743\u64cd\u4f5c\uff0c\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u3002",
  "discovererName": "Davut Hari, Miguel Alvarado of iDeviceHelp, Sezer Sakiner, an anonymous researcher, Moataz El Gaml of Schlumberger, an anonymous researcher and Andy Davis of NCC Group.",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttp://www.apple.com/ios/ios-10/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-12705",
  "openTime": "2016-12-21",
  "patchDescription": "Apple iOS\u662f\u4e3a\u79fb\u52a8\u8bbe\u5907\u6240\u5f00\u53d1\u7684\u4e00\u5957\u64cd\u4f5c\u7cfb\u7edf\u3002\r\n\r\nApple iOS\u5b58\u5728\u591a\u4e2a\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u6f0f\u6d1e\u7ed5\u8fc7\u5b89\u5168\u9650\u5236\uff0c\u6267\u884c\u4efb\u610f\u4ee3\u7801\u6216\u672a\u6388\u6743\u64cd\u4f5c\uff0c\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": "Apple iOS APPLE-SA-2016-12-12-1\u5b58\u5728\u591a\u4e2a\u6f0f\u6d1e\uff08CNVD-2016-12705\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Apple IOS \u003c10.2"
  },
  "referenceLink": "http://www.securityfocus.com/bid/94850",
  "serverity": "\u9ad8",
  "submitTime": "2016-12-14",
  "title": "Apple iOS APPLE-SA-2016-12-12-1\u5b58\u5728\u591a\u4e2a\u6f0f\u6d1e\uff08CNVD-2016-12705\uff09"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…