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CNVD-2017-01277

Vulnerability from cnvd - Published: 2017-02-14
VLAI
Title
libimobiledevice libplist堆缓冲区溢出漏洞
Description
libimobiledevice是一个可让Linux支持连接iPhone、iPodTouch等iOS设备的软件协议库和工具。libplist是其中的一个以二进制或XML格式来处理Apple Property List格式的库。 libimobiledevice libplist存在堆缓冲区溢出漏洞。攻击者利用该漏洞执行任意代码。
Severity
Patch Name
libimobiledevice libplist堆缓冲区溢出漏洞的补丁
Patch Description
libimobiledevice是一个可让Linux支持连接iPhone、iPodTouch等iOS设备的软件协议库和工具。libplist是其中的一个以二进制或XML格式来处理Apple Property List格式的库。 libimobiledevice libplist存在堆缓冲区溢出漏洞。攻击者利用该漏洞执行任意代码。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

厂商已发布了漏洞修复程序,请及时关注更新: http://www.libimobiledevice.org/

Reference
https://github.com/libimobiledevice/libplist/issues/88
Impacted products
Name
libimobiledevice libplist 0
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "96022"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-5835"
    }
  },
  "description": "libimobiledevice\u662f\u4e00\u4e2a\u53ef\u8ba9Linux\u652f\u6301\u8fde\u63a5iPhone\u3001iPodTouch\u7b49iOS\u8bbe\u5907\u7684\u8f6f\u4ef6\u534f\u8bae\u5e93\u548c\u5de5\u5177\u3002libplist\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u4ee5\u4e8c\u8fdb\u5236\u6216XML\u683c\u5f0f\u6765\u5904\u7406Apple Property List\u683c\u5f0f\u7684\u5e93\u3002\r\n\r\nlibimobiledevice libplist\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "Wang Junjie",
  "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.libimobiledevice.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-01277",
  "openTime": "2017-02-14",
  "patchDescription": "libimobiledevice\u662f\u4e00\u4e2a\u53ef\u8ba9Linux\u652f\u6301\u8fde\u63a5iPhone\u3001iPodTouch\u7b49iOS\u8bbe\u5907\u7684\u8f6f\u4ef6\u534f\u8bae\u5e93\u548c\u5de5\u5177\u3002libplist\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u4ee5\u4e8c\u8fdb\u5236\u6216XML\u683c\u5f0f\u6765\u5904\u7406Apple Property List\u683c\u5f0f\u7684\u5e93\u3002\r\n\r\nlibimobiledevice libplist\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\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": "libimobiledevice libplist\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "libimobiledevice libplist 0"
  },
  "referenceLink": "https://github.com/libimobiledevice/libplist/issues/88",
  "serverity": "\u4e2d",
  "submitTime": "2017-02-07",
  "title": "libimobiledevice libplist\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\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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