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CNVD-2016-01802

Vulnerability from cnvd - Published: 2016-03-23
VLAI
Title
Apple iOS FontParser内存破坏漏洞
Description
iOS是由苹果公司为移动设备所开发的操作系统,支持的设备包括iPhone、iPod touch、iPad、Apple TV。 iOS 9.3之前版本在FontParser的实现中存在安全漏洞,允许攻击者利用该楼房恶意构造的PDF文件可导致应用意外中止,执行任意代码。
Severity
Patch Name
Apple iOS FontParser内存破坏漏洞的补丁
Patch Description
iOS是由苹果公司为移动设备所开发的操作系统,支持的设备包括iPhone、iPod touch、iPad、Apple TV。 iOS 9.3之前版本在FontParser的实现中存在安全漏洞,允许攻击者利用该楼房恶意构造的PDF文件可导致应用意外中止,执行任意代码。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

目前厂商已经发布了升级补丁以修复此安全问题,补丁获取链接: https://support.apple.com/en-au/HT206166

Reference
https://support.apple.com/en-au/HT206166
Impacted products
Name
Apple IOS < 9.3
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-1740"
    }
  },
  "description": "iOS\u662f\u7531\u82f9\u679c\u516c\u53f8\u4e3a\u79fb\u52a8\u8bbe\u5907\u6240\u5f00\u53d1\u7684\u64cd\u4f5c\u7cfb\u7edf\uff0c\u652f\u6301\u7684\u8bbe\u5907\u5305\u62eciPhone\u3001iPod touch\u3001iPad\u3001Apple TV\u3002\r\n\r\niOS 9.3\u4e4b\u524d\u7248\u672c\u5728FontParser\u7684\u5b9e\u73b0\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u5141\u8bb8\u653b\u51fb\u8005\u5229\u7528\u8be5\u697c\u623f\u6076\u610f\u6784\u9020\u7684PDF\u6587\u4ef6\u53ef\u5bfc\u81f4\u5e94\u7528\u610f\u5916\u4e2d\u6b62\uff0c\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "HappilyCoded (ant4g0nist and r3dsm0k3) working with Trend Micro\u0027s Zero Day Initiative (ZDI)",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a \r\nhttps://support.apple.com/en-au/HT206166",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-01802",
  "openTime": "2016-03-23",
  "patchDescription": "iOS\u662f\u7531\u82f9\u679c\u516c\u53f8\u4e3a\u79fb\u52a8\u8bbe\u5907\u6240\u5f00\u53d1\u7684\u64cd\u4f5c\u7cfb\u7edf\uff0c\u652f\u6301\u7684\u8bbe\u5907\u5305\u62eciPhone\u3001iPod touch\u3001iPad\u3001Apple TV\u3002\r\n\r\niOS 9.3\u4e4b\u524d\u7248\u672c\u5728FontParser\u7684\u5b9e\u73b0\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u5141\u8bb8\u653b\u51fb\u8005\u5229\u7528\u8be5\u697c\u623f\u6076\u610f\u6784\u9020\u7684PDF\u6587\u4ef6\u53ef\u5bfc\u81f4\u5e94\u7528\u610f\u5916\u4e2d\u6b62\uff0c\u6267\u884c\u4efb\u610f\u4ee3\u7801\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 FontParser\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apple IOS \u003c 9.3"
  },
  "referenceLink": "https://support.apple.com/en-au/HT206166",
  "serverity": "\u9ad8",
  "submitTime": "2016-03-22",
  "title": "Apple iOS FontParser\u5185\u5b58\u7834\u574f\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

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.

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Detection rules are retrieved from Rulezet.

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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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