CNVD-2019-03274

Vulnerability from cnvd - Published: 2019-01-30
VLAI
Title
LoboEvolution XML外部实体注入漏洞
Description
LoboEvolution是一款支持Java项目的、可扩展的Web浏览器。 LoboEvolution 9b75694cedfa4825d4a2330abf2719d470c654cd之前版本中XML的解析存在XML外部实体注入漏洞,攻击者可借助特制的XML文件利用该漏洞泄露敏感信息,造成拒绝服务或实施服务器端请求伪造攻击。
Severity
中
Patch Name
LoboEvolution XML外部实体注入漏洞的补丁
Patch Description
LoboEvolution是一款支持Java项目的、可扩展的Web浏览器。 LoboEvolution 9b75694cedfa4825d4a2330abf2719d470c654cd之前版本中XML的解析存在XML外部实体注入漏洞,攻击者可借助特制的XML文件利用该漏洞泄露敏感信息,造成拒绝服务或实施服务器端请求伪造攻击。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

厂商已发布了漏洞修复程序,请及时关注更新: https://github.com/oswetto/LoboEvolution/issues/38

Reference
https://github.com/oswetto/LoboEvolution/issues/38
Impacted products
Name
LoboEvolution LoboEvolution <9b75694cedfa4825d4a2330abf2719d470c654cd
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-1000540",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-1000540"
    }
  },
  "description": "LoboEvolution\u662f\u4e00\u6b3e\u652f\u6301Java\u9879\u76ee\u7684\u3001\u53ef\u6269\u5c55\u7684Web\u6d4f\u89c8\u5668\u3002\n\nLoboEvolution 9b75694cedfa4825d4a2330abf2719d470c654cd\u4e4b\u524d\u7248\u672c\u4e2dXML\u7684\u89e3\u6790\u5b58\u5728XML\u5916\u90e8\u5b9e\u4f53\u6ce8\u5165\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684XML\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u6cc4\u9732\u654f\u611f\u4fe1\u606f\uff0c\u9020\u6210\u62d2\u7edd\u670d\u52a1\u6216\u5b9e\u65bd\u670d\u52a1\u5668\u7aef\u8bf7\u6c42\u4f2a\u9020\u653b\u51fb\u3002",
  "discovererName": "ProDigySML",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/oswetto/LoboEvolution/issues/38",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-03274",
  "openTime": "2019-01-30",
  "patchDescription": "LoboEvolution\u662f\u4e00\u6b3e\u652f\u6301Java\u9879\u76ee\u7684\u3001\u53ef\u6269\u5c55\u7684Web\u6d4f\u89c8\u5668\u3002\r\n\r\nLoboEvolution 9b75694cedfa4825d4a2330abf2719d470c654cd\u4e4b\u524d\u7248\u672c\u4e2dXML\u7684\u89e3\u6790\u5b58\u5728XML\u5916\u90e8\u5b9e\u4f53\u6ce8\u5165\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684XML\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u6cc4\u9732\u654f\u611f\u4fe1\u606f\uff0c\u9020\u6210\u62d2\u7edd\u670d\u52a1\u6216\u5b9e\u65bd\u670d\u52a1\u5668\u7aef\u8bf7\u6c42\u4f2a\u9020\u653b\u51fb\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": "LoboEvolution XML\u5916\u90e8\u5b9e\u4f53\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "LoboEvolution LoboEvolution \u003c9b75694cedfa4825d4a2330abf2719d470c654cd"
  },
  "referenceLink": "https://github.com/oswetto/LoboEvolution/issues/38",
  "serverity": "\u4e2d",
  "submitTime": "2018-07-09",
  "title": "LoboEvolution XML\u5916\u90e8\u5b9e\u4f53\u6ce8\u5165\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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