CNVD-2020-54482

Vulnerability from cnvd - Published: 2020-09-24
VLAI
Title
Artifex Software MuPDF代码问题漏洞
Description
Artifex Software MuPDF是美国Artifex Software公司的一款免费的、轻量级的PDF阅读器。 Artifex Software MuPDF 1.14版本中的‘fz_load_jpeg’函数存在代码问题漏洞。该漏洞源于网络系统或产品的代码开发过程中存在设计或实现不当的问题。攻击者可利用该漏洞执行任意代码。
Severity
高
Patch Name
Artifex Software MuPDF代码问题漏洞的补丁
Patch Description
Artifex Software MuPDF是美国Artifex Software公司的一款免费的、轻量级的PDF阅读器。 Artifex Software MuPDF 1.14版本中的‘fz_load_jpeg’函数存在代码问题漏洞。该漏洞源于网络系统或产品的代码开发过程中存在设计或实现不当的问题。攻击者可利用该漏洞执行任意代码。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

厂商已发布漏洞修复程序,请及时关注更新: https://github.com/ArtifexSoftware/mupdf/commit/2be83b57e77938fddbb06bdffb11979ad89a9c7d

Reference
https://nvd.nist.gov/vuln/detail/CVE-2019-7321
Impacted products
Name
Artifex Software MuPDF 1.14
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-7321"
    }
  },
  "description": "Artifex Software MuPDF\u662f\u7f8e\u56fdArtifex Software\u516c\u53f8\u7684\u4e00\u6b3e\u514d\u8d39\u7684\u3001\u8f7b\u91cf\u7ea7\u7684PDF\u9605\u8bfb\u5668\u3002\n\nArtifex Software MuPDF 1.14\u7248\u672c\u4e2d\u7684\u2018fz_load_jpeg\u2019\u51fd\u6570\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u7684\u4ee3\u7801\u5f00\u53d1\u8fc7\u7a0b\u4e2d\u5b58\u5728\u8bbe\u8ba1\u6216\u5b9e\u73b0\u4e0d\u5f53\u7684\u95ee\u9898\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "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/ArtifexSoftware/mupdf/commit/2be83b57e77938fddbb06bdffb11979ad89a9c7d",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-54482",
  "openTime": "2020-09-24",
  "patchDescription": "Artifex Software MuPDF\u662f\u7f8e\u56fdArtifex Software\u516c\u53f8\u7684\u4e00\u6b3e\u514d\u8d39\u7684\u3001\u8f7b\u91cf\u7ea7\u7684PDF\u9605\u8bfb\u5668\u3002\r\n\r\nArtifex Software MuPDF 1.14\u7248\u672c\u4e2d\u7684\u2018fz_load_jpeg\u2019\u51fd\u6570\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u7684\u4ee3\u7801\u5f00\u53d1\u8fc7\u7a0b\u4e2d\u5b58\u5728\u8bbe\u8ba1\u6216\u5b9e\u73b0\u4e0d\u5f53\u7684\u95ee\u9898\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\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": "Artifex Software MuPDF\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Artifex Software  MuPDF 1.14"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-7321",
  "serverity": "\u9ad8",
  "submitTime": "2019-06-14",
  "title": "Artifex Software MuPDF\u4ee3\u7801\u95ee\u9898\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.
  • 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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