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CNVD-2018-05446

Vulnerability from cnvd - Published: 2018-03-16
VLAI
Title
Cimg堆缓冲区越边界读取漏洞
Description
CImg是一款开源的用于图像处理的C++工具库。 CImg 220版本中存在堆缓冲区越边界读取漏洞。供应商发布了安全公告及相关补丁信息,修复了此漏洞,建议用户下载使用。
Severity
Formal description

厂商已发布漏洞修复程序,请及时关注更新: https://github.com/dtschump/CImg/commit/8447076ef22322a14a0ce130837e44c5ba8095f4

Reference
https://github.com/xiaoqx/pocs/tree/master/cimg
Impacted products
Name
Cimg Cimg v.220
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-7588"
    }
  },
  "description": "CImg\u662f\u4e00\u6b3e\u5f00\u6e90\u7684\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u7684C++\u5de5\u5177\u5e93\u3002\r\n\r\nCImg 220\u7248\u672c\u4e2d\u5b58\u5728\u5806\u7f13\u51b2\u533a\u8d8a\u8fb9\u754c\u8bfb\u53d6\u6f0f\u6d1e\u3002\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\uff0c\u5efa\u8bae\u7528\u6237\u4e0b\u8f7d\u4f7f\u7528\u3002",
  "discovererName": "xiaoqx",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/dtschump/CImg/commit/8447076ef22322a14a0ce130837e44c5ba8095f4",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-05446",
  "openTime": "2018-03-16",
  "products": {
    "product": "Cimg Cimg v.220"
  },
  "referenceLink": "https://github.com/xiaoqx/pocs/tree/master/cimg",
  "serverity": "\u4e2d",
  "submitTime": "2018-03-02",
  "title": "Cimg\u5806\u7f13\u51b2\u533a\u8d8a\u8fb9\u754c\u8bfb\u53d6\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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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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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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