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CNVD-2017-36405

Vulnerability from cnvd - Published: 2017-12-06
VLAI
Title
LibTIFF存在多个本地内存破坏漏洞
Description
LibTIFF是一个用来读写标签图像文件格式的库。 LibTIFF存在多个本地内存破坏漏洞,允许远程攻击者利用漏洞构建恶意文件,诱使用户解析,可使应用程序崩溃或执行任意代码。
Severity
Patch Name
LibTIFF存在多个本地内存破坏漏洞的补丁
Patch Description
LibTIFF是一个用来读写标签图像文件格式的库。 LibTIFF存在多个本地内存破坏漏洞,允许远程攻击者利用漏洞构建恶意文件,诱使用户解析,可使应用程序崩溃或执行任意代码。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这个安全问题,请到厂商的主页下载: http://www.libtiff.org/

Reference
http://www.securityfocus.com/bid/101696
Impacted products
Name
Libtiff LibTiff 4.0.8
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "101696"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-16232"
    }
  },
  "description": "LibTIFF\u662f\u4e00\u4e2a\u7528\u6765\u8bfb\u5199\u6807\u7b7e\u56fe\u50cf\u6587\u4ef6\u683c\u5f0f\u7684\u5e93\u3002\r\n\r\nLibTIFF\u5b58\u5728\u591a\u4e2a\u672c\u5730\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u5229\u7528\u6f0f\u6d1e\u6784\u5efa\u6076\u610f\u6587\u4ef6\uff0c\u8bf1\u4f7f\u7528\u6237\u89e3\u6790\uff0c\u53ef\u4f7f\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\u6216\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "ZHANG JIAWANG from cncert",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttp://www.libtiff.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-36405",
  "openTime": "2017-12-06",
  "patchDescription": "LibTIFF\u662f\u4e00\u4e2a\u7528\u6765\u8bfb\u5199\u6807\u7b7e\u56fe\u50cf\u6587\u4ef6\u683c\u5f0f\u7684\u5e93\u3002\r\n\r\nLibTIFF\u5b58\u5728\u591a\u4e2a\u672c\u5730\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u5229\u7528\u6f0f\u6d1e\u6784\u5efa\u6076\u610f\u6587\u4ef6\uff0c\u8bf1\u4f7f\u7528\u6237\u89e3\u6790\uff0c\u53ef\u4f7f\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\u6216\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": "LibTIFF\u5b58\u5728\u591a\u4e2a\u672c\u5730\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Libtiff LibTiff 4.0.8"
  },
  "referenceLink": "http://www.securityfocus.com/bid/101696",
  "serverity": "\u4e2d",
  "submitTime": "2017-11-10",
  "title": "LibTIFF\u5b58\u5728\u591a\u4e2a\u672c\u5730\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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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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