CNVD-2021-08886

Vulnerability from cnvd - Published: 2021-02-03
VLAI
Title
JasPer堆缓冲区溢出漏洞(CNVD-2021-08886)
Description
JasPer是一个开源项目,旨在提供JPEG-2000 Part-1标准中指定的编解码器的、基于自由软件的参考实现。 JasPer 2.0.24中的jp2/jp2_dec.c中的jp2_decode存在堆缓冲区溢出漏洞。该漏洞源于通道数和图像分量数之间存在无效关系。目前没有详细的漏洞细节提供。
Severity
Formal description

目前厂商暂未发布修复措施解决此安全问题,建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法: https://github.com/jasper-software/jasper/issues/259

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-3272
Impacted products
Name
Jasper JasPer 2.0.24
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-3272",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-3272"
    }
  },
  "description": "JasPer\u662f\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u65e8\u5728\u63d0\u4f9bJPEG-2000 Part-1\u6807\u51c6\u4e2d\u6307\u5b9a\u7684\u7f16\u89e3\u7801\u5668\u7684\u3001\u57fa\u4e8e\u81ea\u7531\u8f6f\u4ef6\u7684\u53c2\u8003\u5b9e\u73b0\u3002\n\nJasPer 2.0.24\u4e2d\u7684jp2/jp2_dec.c\u4e2d\u7684jp2_decode\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u901a\u9053\u6570\u548c\u56fe\u50cf\u5206\u91cf\u6570\u4e4b\u95f4\u5b58\u5728\u65e0\u6548\u5173\u7cfb\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\nhttps://github.com/jasper-software/jasper/issues/259",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-08886",
  "openTime": "2021-02-03",
  "products": {
    "product": "Jasper JasPer 2.0.24"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-3272",
  "serverity": "\u4e2d",
  "submitTime": "2021-01-28",
  "title": "JasPer\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2021-08886\uff09"
}



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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

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