CNVD-2015-00739

Vulnerability from cnvd - Published: 2015-01-29
VLAI
Title
LibTIFF越界读写拒绝服务漏洞
Description
LibTiff是一款负责对TIFF图象格式进行编码/解码的应用库。 使用LibTiff库的"tiff2pdf"工具处理畸形TIFF图像存在越界读写漏洞,允许攻击者利用漏洞构建恶意应用,诱使应用解析,可使应用程序崩溃。
Severity
Patch Name
LibTIFF越界读写拒绝服务漏洞的补丁
Patch Description
ibTiff是一款负责对TIFF图象格式进行编码/解码的应用库。 使用LibTiff库的"tiff2pdf"工具处理畸形TIFF图像存在越界读写漏洞,允许攻击者利用漏洞构建恶意应用,诱使应用解析,可使应用程序崩溃。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

用户可参考如下厂商提供的安全补丁以修复该漏洞: http://bugzilla.maptools.org/show_bug.cgi?id=2487 http://bugzilla.maptools.org/show_bug.cgi?id=2488

Reference
http://www.conostix.com/pub/adv/CVE-2014-8128-LibTIFF-Out-of-bounds_Writes.txt http://seclists.org/oss-sec/2015/q1/247
Impacted products
Name
Libtiff Libtiff
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "72352"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2014-8129"
    }
  },
  "description": "LibTiff\u662f\u4e00\u6b3e\u8d1f\u8d23\u5bf9TIFF\u56fe\u8c61\u683c\u5f0f\u8fdb\u884c\u7f16\u7801/\u89e3\u7801\u7684\u5e94\u7528\u5e93\u3002\r\n\r\n\u4f7f\u7528LibTiff\u5e93\u7684\"tiff2pdf\"\u5de5\u5177\u5904\u7406\u7578\u5f62TIFF\u56fe\u50cf\u5b58\u5728\u8d8a\u754c\u8bfb\u5199\u6f0f\u6d1e\uff0c\u5141\u8bb8\u653b\u51fb\u8005\u5229\u7528\u6f0f\u6d1e\u6784\u5efa\u6076\u610f\u5e94\u7528\uff0c\u8bf1\u4f7f\u5e94\u7528\u89e3\u6790\uff0c\u53ef\u4f7f\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\u3002",
  "discovererName": "William Robinet and american fuzzy lop",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u5382\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u8865\u4e01\u4ee5\u4fee\u590d\u8be5\u6f0f\u6d1e\uff1a\r\nhttp://bugzilla.maptools.org/show_bug.cgi?id=2487\r\nhttp://bugzilla.maptools.org/show_bug.cgi?id=2488",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-00739",
  "openTime": "2015-01-29",
  "patchDescription": "ibTiff\u662f\u4e00\u6b3e\u8d1f\u8d23\u5bf9TIFF\u56fe\u8c61\u683c\u5f0f\u8fdb\u884c\u7f16\u7801/\u89e3\u7801\u7684\u5e94\u7528\u5e93\u3002 \r\n\r\n\u4f7f\u7528LibTiff\u5e93\u7684\"tiff2pdf\"\u5de5\u5177\u5904\u7406\u7578\u5f62TIFF\u56fe\u50cf\u5b58\u5728\u8d8a\u754c\u8bfb\u5199\u6f0f\u6d1e\uff0c\u5141\u8bb8\u653b\u51fb\u8005\u5229\u7528\u6f0f\u6d1e\u6784\u5efa\u6076\u610f\u5e94\u7528\uff0c\u8bf1\u4f7f\u5e94\u7528\u89e3\u6790\uff0c\u53ef\u4f7f\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\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\u8d8a\u754c\u8bfb\u5199\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Libtiff Libtiff"
  },
  "referenceLink": "http://www.conostix.com/pub/adv/CVE-2014-8128-LibTIFF-Out-of-bounds_Writes.txt\r\nhttp://seclists.org/oss-sec/2015/q1/247",
  "serverity": "\u4e2d",
  "submitTime": "2015-01-28",
  "title": "LibTIFF\u8d8a\u754c\u8bfb\u5199\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

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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