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

CNVD-2016-12552

Vulnerability from cnvd - Published: 2016-12-19
VLAI
Title
Apple iOS/WatchOS/tvOS内存破坏漏洞
Description
Apple iOS是美国苹果(Apple)公司为移动设备所开发的一套操作系统。 Apple iOS/WatchOS/tvOS存在内存破坏漏洞,攻击者可以通过特定的证书文件利用该漏洞执行任意代码或造成拒绝服务(内存破坏)。
Severity
Patch Name
Apple iOS/WatchOS/tvOS内存破坏漏洞的补丁
Patch Description
Apple iOS是美国苹果(Apple)公司为移动设备所开发的一套操作系统。 Apple iOS/WatchOS/tvOS存在内存破坏漏洞,攻击者可以通过特定的证书文件利用该漏洞执行任意代码或造成拒绝服务(内存破坏)。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

用户可联系供应商获得补丁信息: https://support.apple.com/zh-cn/HT207422

Reference
https://www.exploit-db.com/exploits/40906/
Impacted products
Name
['Apple IOS <10.2', 'Apple watchOS <3.1.1', 'Apple tvOS <10.1']
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "94852"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-7626"
    }
  },
  "description": "Apple iOS\u662f\u7f8e\u56fd\u82f9\u679c\uff08Apple\uff09\u516c\u53f8\u4e3a\u79fb\u52a8\u8bbe\u5907\u6240\u5f00\u53d1\u7684\u4e00\u5957\u64cd\u4f5c\u7cfb\u7edf\u3002\r\n\r\nApple iOS/WatchOS/tvOS\u5b58\u5728\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u901a\u8fc7\u7279\u5b9a\u7684\u8bc1\u4e66\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u6216\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u5185\u5b58\u7834\u574f\uff09\u3002",
  "discovererName": "Maksymilian Arciemowicz (cxsecurity.com)",
  "formalWay": "\u7528\u6237\u53ef\u8054\u7cfb\u4f9b\u5e94\u5546\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a\r\nhttps://support.apple.com/zh-cn/HT207422",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-12552",
  "openTime": "2016-12-19",
  "patchDescription": "Apple iOS\u662f\u7f8e\u56fd\u82f9\u679c\uff08Apple\uff09\u516c\u53f8\u4e3a\u79fb\u52a8\u8bbe\u5907\u6240\u5f00\u53d1\u7684\u4e00\u5957\u64cd\u4f5c\u7cfb\u7edf\u3002\r\n\r\nApple iOS/WatchOS/tvOS\u5b58\u5728\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u901a\u8fc7\u7279\u5b9a\u7684\u8bc1\u4e66\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u6216\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u5185\u5b58\u7834\u574f\uff09\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/WatchOS/tvOS\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Apple IOS \u003c10.2",
      "Apple watchOS \u003c3.1.1",
      "Apple tvOS \u003c10.1"
    ]
  },
  "referenceLink": "https://www.exploit-db.com/exploits/40906/",
  "serverity": "\u9ad8",
  "submitTime": "2016-12-14",
  "title": "Apple iOS/WatchOS/tvOS\u5185\u5b58\u7834\u574f\u6f0f\u6d1e"
}



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…