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CNVD-2019-12499

Vulnerability from cnvd - Published: 2019-04-26
VLAI
Title
多款Apple产品libxpc组件内存破坏漏洞(CNVD-2019-12499)
Description
Apple iOS等都是美国苹果(Apple)公司的产品。Apple iOS是为移动设备所开发的一套操作系统。Apple tvOS是一套智能电视操作系统。Apple macOS High Sierra是一套专为Mac计算机所开发的专用操作系统。libxpc是其中的一个AppleXPC库的开源实现。 多款Apple产品中的libxpc组件存在安全漏洞。攻击者可利用漏洞获取提升的权限。
Severity
Patch Name
多款Apple产品libxpc组件内存破坏漏洞(CNVD-2019-12499)的补丁
Patch Description
Apple iOS等都是美国苹果(Apple)公司的产品。Apple iOS是为移动设备所开发的一套操作系统。Apple tvOS是一套智能电视操作系统。Apple macOS High Sierra是一套专为Mac计算机所开发的专用操作系统。libxpc是其中的一个AppleXPC库的开源实现。 多款Apple产品中的libxpc组件存在安全漏洞。攻击者可利用漏洞获取提升的权限。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,补丁获取链接: https://support.apple.com/kb/HT208935

Reference
https://support.apple.com/kb/HT208935
Impacted products
Name
['Apple Apple iOS <11.4.1', 'Apple watchOS <4.3.2', 'Apple macOS High Sierra <10.13.6', 'Apple tvOS <11.4.1']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-4280",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-4280"
    }
  },
  "description": "Apple iOS\u7b49\u90fd\u662f\u7f8e\u56fd\u82f9\u679c\uff08Apple\uff09\u516c\u53f8\u7684\u4ea7\u54c1\u3002Apple iOS\u662f\u4e3a\u79fb\u52a8\u8bbe\u5907\u6240\u5f00\u53d1\u7684\u4e00\u5957\u64cd\u4f5c\u7cfb\u7edf\u3002Apple tvOS\u662f\u4e00\u5957\u667a\u80fd\u7535\u89c6\u64cd\u4f5c\u7cfb\u7edf\u3002Apple macOS High Sierra\u662f\u4e00\u5957\u4e13\u4e3aMac\u8ba1\u7b97\u673a\u6240\u5f00\u53d1\u7684\u4e13\u7528\u64cd\u4f5c\u7cfb\u7edf\u3002libxpc\u662f\u5176\u4e2d\u7684\u4e00\u4e2aAppleXPC\u5e93\u7684\u5f00\u6e90\u5b9e\u73b0\u3002\n\n\u591a\u6b3eApple\u4ea7\u54c1\u4e2d\u7684libxpc\u7ec4\u4ef6\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u83b7\u53d6\u63d0\u5347\u7684\u6743\u9650\u3002",
  "discovererName": "Brandon Azad",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://support.apple.com/kb/HT208935",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-12499",
  "openTime": "2019-04-26",
  "patchDescription": "Apple iOS\u7b49\u90fd\u662f\u7f8e\u56fd\u82f9\u679c\uff08Apple\uff09\u516c\u53f8\u7684\u4ea7\u54c1\u3002Apple iOS\u662f\u4e3a\u79fb\u52a8\u8bbe\u5907\u6240\u5f00\u53d1\u7684\u4e00\u5957\u64cd\u4f5c\u7cfb\u7edf\u3002Apple tvOS\u662f\u4e00\u5957\u667a\u80fd\u7535\u89c6\u64cd\u4f5c\u7cfb\u7edf\u3002Apple macOS High Sierra\u662f\u4e00\u5957\u4e13\u4e3aMac\u8ba1\u7b97\u673a\u6240\u5f00\u53d1\u7684\u4e13\u7528\u64cd\u4f5c\u7cfb\u7edf\u3002libxpc\u662f\u5176\u4e2d\u7684\u4e00\u4e2aAppleXPC\u5e93\u7684\u5f00\u6e90\u5b9e\u73b0\u3002\r\n\r\n\u591a\u6b3eApple\u4ea7\u54c1\u4e2d\u7684libxpc\u7ec4\u4ef6\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u83b7\u53d6\u63d0\u5347\u7684\u6743\u9650\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": "\u591a\u6b3eApple\u4ea7\u54c1libxpc\u7ec4\u4ef6\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\uff08CNVD-2019-12499\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Apple Apple iOS \u003c11.4.1",
      "Apple watchOS \u003c4.3.2",
      "Apple macOS High Sierra \u003c10.13.6",
      "Apple tvOS \u003c11.4.1"
    ]
  },
  "referenceLink": "https://support.apple.com/kb/HT208935",
  "serverity": "\u4e2d",
  "submitTime": "2019-04-08",
  "title": "\u591a\u6b3eApple\u4ea7\u54c1libxpc\u7ec4\u4ef6\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\uff08CNVD-2019-12499\uff09"
}



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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

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  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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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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