CNVD-2019-22431

Vulnerability from cnvd - Published: 2019-07-11
VLAI
Title
Xpdf无效内存访问漏洞
Description
Xpdf是一个免费PDF查看器和工具包,包括文本提取器、图像转换器、HTML转换器等。 Xpdf 4.01中的TextOutputDev.c中的TextPage::findGaps()函数存在无效内存访问漏洞。攻击者可通过将特制pdf文件发送到pdftops二进制文件利用该漏洞导致拒绝服务(分段错误),或可能造成其他影响。
Severity
中
Patch Name
Xpdf无效内存访问漏洞的补丁
Patch Description
Xpdf是一个免费PDF查看器和工具包,包括文本提取器、图像转换器、HTML转换器等。 Xpdf 4.01中的TextOutputDev.c中的TextPage::findGaps()函数存在无效内存访问漏洞。攻击者可通过将特制pdf文件发送到pdftops二进制文件利用该漏洞导致拒绝服务(分段错误),或可能造成其他影响。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://www.xpdfreader.com/download.html

Reference
https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-9877
Impacted products
Name
Foo Labs Xpdf 4.01.01
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-9877"
    }
  },
  "description": "Xpdf\u662f\u4e00\u4e2a\u514d\u8d39PDF\u67e5\u770b\u5668\u548c\u5de5\u5177\u5305\uff0c\u5305\u62ec\u6587\u672c\u63d0\u53d6\u5668\u3001\u56fe\u50cf\u8f6c\u6362\u5668\u3001HTML\u8f6c\u6362\u5668\u7b49\u3002\n\nXpdf 4.01\u4e2d\u7684TextOutputDev.c\u4e2d\u7684TextPage::findGaps()\u51fd\u6570\u5b58\u5728\u65e0\u6548\u5185\u5b58\u8bbf\u95ee\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5c06\u7279\u5236pdf\u6587\u4ef6\u53d1\u9001\u5230pdftops\u4e8c\u8fdb\u5236\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\uff08\u5206\u6bb5\u9519\u8bef\uff09\uff0c\u6216\u53ef\u80fd\u9020\u6210\u5176\u4ed6\u5f71\u54cd\u3002",
  "discovererName": "Loginsoft",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://www.xpdfreader.com/download.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-22431",
  "openTime": "2019-07-11",
  "patchDescription": "Xpdf\u662f\u4e00\u4e2a\u514d\u8d39PDF\u67e5\u770b\u5668\u548c\u5de5\u5177\u5305\uff0c\u5305\u62ec\u6587\u672c\u63d0\u53d6\u5668\u3001\u56fe\u50cf\u8f6c\u6362\u5668\u3001HTML\u8f6c\u6362\u5668\u7b49\u3002\r\n\r\nXpdf 4.01\u4e2d\u7684TextOutputDev.c\u4e2d\u7684TextPage::findGaps()\u51fd\u6570\u5b58\u5728\u65e0\u6548\u5185\u5b58\u8bbf\u95ee\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5c06\u7279\u5236pdf\u6587\u4ef6\u53d1\u9001\u5230pdftops\u4e8c\u8fdb\u5236\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\uff08\u5206\u6bb5\u9519\u8bef\uff09\uff0c\u6216\u53ef\u80fd\u9020\u6210\u5176\u4ed6\u5f71\u54cd\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": "Xpdf\u65e0\u6548\u5185\u5b58\u8bbf\u95ee\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Foo Labs Xpdf 4.01.01"
  },
  "referenceLink": "https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-9877",
  "serverity": "\u4e2d",
  "submitTime": "2019-03-20",
  "title": "Xpdf\u65e0\u6548\u5185\u5b58\u8bbf\u95ee\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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