CNVD-2017-16341

Vulnerability from cnvd - Published: 2017-07-24
VLAI
Title
Wireshark 'dissect_daap_one_tag'函数拒绝服务漏洞
Description
Wireshark(前称Ethereal)是Wireshark团队开发的一套网络数据包分析软件。该软件的功能是截取网络数据包,并显示出详细的数据以供分析。DAAP dissector是其中的一个音频共享协议解析器。 Wireshark 2.2.7版本中的DAAP解析器的epan/dissectors/packet-daap.c文件的'dissect_daap_one_tag'函数存在安全漏洞。攻击者可利用该漏洞造成栈耗尽。
Severity
Patch Name
Wireshark 'dissect_daap_one_tag'函数拒绝服务漏洞的补丁
Patch Description
Wireshark(前称Ethereal)是Wireshark团队开发的一套网络数据包分析软件。该软件的功能是截取网络数据包,并显示出详细的数据以供分析。DAAP dissector是其中的一个音频共享协议解析器。 Wireshark 2.2.7版本中的DAAP解析器的epan/dissectors/packet-daap.c文件的'dissect_daap_one_tag'函数存在安全漏洞。攻击者可利用该漏洞造成栈耗尽。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://wireshark.org/

Reference
http://www.securityfocus.com/bid/99087
Impacted products
Name
Wireshark Wireshark 2.2.7
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "99087"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-9617"
    }
  },
  "description": "Wireshark\uff08\u524d\u79f0Ethereal\uff09\u662fWireshark\u56e2\u961f\u5f00\u53d1\u7684\u4e00\u5957\u7f51\u7edc\u6570\u636e\u5305\u5206\u6790\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u7684\u529f\u80fd\u662f\u622a\u53d6\u7f51\u7edc\u6570\u636e\u5305\uff0c\u5e76\u663e\u793a\u51fa\u8be6\u7ec6\u7684\u6570\u636e\u4ee5\u4f9b\u5206\u6790\u3002DAAP dissector\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u97f3\u9891\u5171\u4eab\u534f\u8bae\u89e3\u6790\u5668\u3002 \r\n\r\nWireshark 2.2.7\u7248\u672c\u4e2d\u7684DAAP\u89e3\u6790\u5668\u7684epan/dissectors/packet-daap.c\u6587\u4ef6\u7684\u0027dissect_daap_one_tag\u0027\u51fd\u6570\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u6808\u8017\u5c3d\u3002",
  "discovererName": "liuyinsheng",
  "formalWay": "\u7528\u6237\u53ef\u8054\u7cfb\u4f9b\u5e94\u5546\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a\r\nhttps://wireshark.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-16341",
  "openTime": "2017-07-24",
  "patchDescription": "Wireshark\uff08\u524d\u79f0Ethereal\uff09\u662fWireshark\u56e2\u961f\u5f00\u53d1\u7684\u4e00\u5957\u7f51\u7edc\u6570\u636e\u5305\u5206\u6790\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u7684\u529f\u80fd\u662f\u622a\u53d6\u7f51\u7edc\u6570\u636e\u5305\uff0c\u5e76\u663e\u793a\u51fa\u8be6\u7ec6\u7684\u6570\u636e\u4ee5\u4f9b\u5206\u6790\u3002DAAP dissector\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u97f3\u9891\u5171\u4eab\u534f\u8bae\u89e3\u6790\u5668\u3002 \r\n\r\nWireshark 2.2.7\u7248\u672c\u4e2d\u7684DAAP\u89e3\u6790\u5668\u7684epan/dissectors/packet-daap.c\u6587\u4ef6\u7684\u0027dissect_daap_one_tag\u0027\u51fd\u6570\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u6808\u8017\u5c3d\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": "Wireshark \u0027dissect_daap_one_tag\u0027\u51fd\u6570\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Wireshark Wireshark 2.2.7"
  },
  "referenceLink": "http://www.securityfocus.com/bid/99087",
  "serverity": "\u4e2d",
  "submitTime": "2017-06-26",
  "title": "Wireshark \u0027dissect_daap_one_tag\u0027\u51fd\u6570\u62d2\u7edd\u670d\u52a1\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

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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.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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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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