CNVD-2021-62175

Vulnerability from cnvd - Published: 2021-08-16
VLAI
Title
Exiv2存在未明漏洞(CNVD-2021-62175)
Description
Exiv2是一套用于管理图像元数据的C++库和命令行应用程序。该产品提供了读取和写入EXIF、IPTC和XMP等多种格式图像元数据的功能。 Exiv2 v0.27.1存在安全漏洞,该漏洞源于Databuf函数存在缓冲区溢出漏洞,攻击者可利用该漏洞导致拒绝服务(DOS)。
Severity
Patch Name
Exiv2存在未明漏洞(CNVD-2021-62175)的补丁
Patch Description
Exiv2是一套用于管理图像元数据的C++库和命令行应用程序。该产品提供了读取和写入EXIF、IPTC和XMP等多种格式图像元数据的功能。 Exiv2 v0.27.1存在安全漏洞,该漏洞源于Databuf函数存在缓冲区溢出漏洞,攻击者可利用该漏洞导致拒绝服务(DOS)。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://github.com/Exiv2/exiv2/issues/980

Reference
https://github.com/Exiv2/exiv2/issues/980
Impacted products
Name
Exiv2 Exiv2 v0.27.1
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-19716",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-19716"
    }
  },
  "description": "Exiv2\u662f\u4e00\u5957\u7528\u4e8e\u7ba1\u7406\u56fe\u50cf\u5143\u6570\u636e\u7684C++\u5e93\u548c\u547d\u4ee4\u884c\u5e94\u7528\u7a0b\u5e8f\u3002\u8be5\u4ea7\u54c1\u63d0\u4f9b\u4e86\u8bfb\u53d6\u548c\u5199\u5165EXIF\u3001IPTC\u548cXMP\u7b49\u591a\u79cd\u683c\u5f0f\u56fe\u50cf\u5143\u6570\u636e\u7684\u529f\u80fd\u3002\n\nExiv2 v0.27.1\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eDatabuf\u51fd\u6570\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1(DOS)\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://github.com/Exiv2/exiv2/issues/980",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-62175",
  "openTime": "2021-08-16",
  "patchDescription": "Exiv2\u662f\u4e00\u5957\u7528\u4e8e\u7ba1\u7406\u56fe\u50cf\u5143\u6570\u636e\u7684C++\u5e93\u548c\u547d\u4ee4\u884c\u5e94\u7528\u7a0b\u5e8f\u3002\u8be5\u4ea7\u54c1\u63d0\u4f9b\u4e86\u8bfb\u53d6\u548c\u5199\u5165EXIF\u3001IPTC\u548cXMP\u7b49\u591a\u79cd\u683c\u5f0f\u56fe\u50cf\u5143\u6570\u636e\u7684\u529f\u80fd\u3002\r\n\r\nExiv2 v0.27.1\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eDatabuf\u51fd\u6570\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1(DOS)\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": "Exiv2\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2021-62175\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Exiv2 Exiv2 v0.27.1"
  },
  "referenceLink": "https://github.com/Exiv2/exiv2/issues/980",
  "serverity": "\u9ad8",
  "submitTime": "2021-07-15",
  "title": "Exiv2\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2021-62175\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

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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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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