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CNVD-2021-34118

Vulnerability from cnvd - Published: 2021-05-12
VLAI
Title
Foxit Studio Photo越界写入漏洞(CNVD-2021-34118)
Description
Foxit Studio Photo是中国福昕(Foxit)公司的一套图像编辑软件。 Foxit Studio Photo 3.6.6.931版本在解析JP2文件时存在越界写入漏洞。该漏洞源于程序未对用户输入进行正确验证。攻击者可通过恶意页面或恶意文件利用该漏洞导致任意代码执行。
Severity
Patch Name
Foxit Studio Photo越界写入漏洞(CNVD-2021-34118)的补丁
Patch Description
Foxit Studio Photo是中国福昕(Foxit)公司的一套图像编辑软件。 Foxit Studio Photo 3.6.6.931版本在解析JP2文件时存在越界写入漏洞。该漏洞源于程序未对用户输入进行正确验证。攻击者可通过恶意页面或恶意文件利用该漏洞导致任意代码执行。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

目前厂商已发布升级补丁以修复漏洞,补丁获取链接: https://www.foxitsoftware.com/support/security-bulletins.html

Reference
https://www.zerodayinitiative.com/advisories/ZDI-21-480/
Impacted products
Name
Foxit Foxit Studio Photo 3.6.6.931
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-31437"
    }
  },
  "description": "Foxit Studio Photo\u662f\u4e2d\u56fd\u798f\u6615\uff08Foxit\uff09\u516c\u53f8\u7684\u4e00\u5957\u56fe\u50cf\u7f16\u8f91\u8f6f\u4ef6\u3002\n\nFoxit Studio Photo 3.6.6.931\u7248\u672c\u5728\u89e3\u6790JP2\u6587\u4ef6\u65f6\u5b58\u5728\u8d8a\u754c\u5199\u5165\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u5bf9\u7528\u6237\u8f93\u5165\u8fdb\u884c\u6b63\u786e\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u6076\u610f\u9875\u9762\u6216\u6076\u610f\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u4efb\u610f\u4ee3\u7801\u6267\u884c\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://www.foxitsoftware.com/support/security-bulletins.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-34118",
  "openTime": "2021-05-12",
  "patchDescription": "Foxit Studio Photo\u662f\u4e2d\u56fd\u798f\u6615\uff08Foxit\uff09\u516c\u53f8\u7684\u4e00\u5957\u56fe\u50cf\u7f16\u8f91\u8f6f\u4ef6\u3002\r\n\r\nFoxit Studio Photo 3.6.6.931\u7248\u672c\u5728\u89e3\u6790JP2\u6587\u4ef6\u65f6\u5b58\u5728\u8d8a\u754c\u5199\u5165\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u5bf9\u7528\u6237\u8f93\u5165\u8fdb\u884c\u6b63\u786e\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u6076\u610f\u9875\u9762\u6216\u6076\u610f\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u4efb\u610f\u4ee3\u7801\u6267\u884c\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": "Foxit Studio Photo\u8d8a\u754c\u5199\u5165\u6f0f\u6d1e\uff08CNVD-2021-34118\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Foxit Foxit Studio Photo 3.6.6.931"
  },
  "referenceLink": "https://www.zerodayinitiative.com/advisories/ZDI-21-480/",
  "serverity": "\u4e2d",
  "submitTime": "2021-04-28",
  "title": "Foxit Studio Photo\u8d8a\u754c\u5199\u5165\u6f0f\u6d1e\uff08CNVD-2021-34118\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

  • 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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