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CNVD-2018-16247

Vulnerability from cnvd - Published: 2018-08-27
VLAI
Title
Laravel framework远程代码执行漏洞
Description
Laravel framework是一套简洁、优雅的PHP Web开发框架。 Laravel framework 5.5.40及之前版本和5.6.x版本至5.6.29版本存在远程代码执行漏洞。该漏洞源于对不可信X-XSRF-TOKEN值的非序列化调用。攻击者可利用该漏洞实现远程代码执行。
Severity
Patch Name
Laravel framework远程代码执行漏洞的补丁
Patch Description
Laravel framework是一套简洁、优雅的PHP Web开发框架。 Laravel framework 5.5.40及之前版本和5.6.x版本至5.6.29版本存在远程代码执行漏洞。该漏洞源于对不可信X-XSRF-TOKEN值的非序列化调用。攻击者可利用该漏洞实现远程代码执行。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

厂商已发布了漏洞修复程序,请及时关注更新: https://laravel.com/docs/5.6/upgrade#upgrade-5.6.30

Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-15133
Impacted products
Name
['Graham Campbell Laravel <=5.5.40', 'Graham Campbell Laravel 5.6.*,<5.6.29']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-15133"
    }
  },
  "description": "Laravel framework\u662f\u4e00\u5957\u7b80\u6d01\u3001\u4f18\u96c5\u7684PHP Web\u5f00\u53d1\u6846\u67b6\u3002\r\n\r\nLaravel framework 5.5.40\u53ca\u4e4b\u524d\u7248\u672c\u548c5.6.x\u7248\u672c\u81f35.6.29\u7248\u672c\u5b58\u5728\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bf9\u4e0d\u53ef\u4fe1X-XSRF-TOKEN\u503c\u7684\u975e\u5e8f\u5217\u5316\u8c03\u7528\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5b9e\u73b0\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u3002",
  "discovererName": "unknown",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://laravel.com/docs/5.6/upgrade#upgrade-5.6.30",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-16247",
  "openTime": "2018-08-27",
  "patchDescription": "Laravel framework\u662f\u4e00\u5957\u7b80\u6d01\u3001\u4f18\u96c5\u7684PHP Web\u5f00\u53d1\u6846\u67b6\u3002\r\n\r\nLaravel framework 5.5.40\u53ca\u4e4b\u524d\u7248\u672c\u548c5.6.x\u7248\u672c\u81f35.6.29\u7248\u672c\u5b58\u5728\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bf9\u4e0d\u53ef\u4fe1X-XSRF-TOKEN\u503c\u7684\u975e\u5e8f\u5217\u5316\u8c03\u7528\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5b9e\u73b0\u8fdc\u7a0b\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": "Laravel framework\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Graham Campbell Laravel \u003c=5.5.40",
      "Graham Campbell Laravel 5.6.*\uff0c\u003c5.6.29"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-15133",
  "serverity": "\u4e2d",
  "submitTime": "2018-08-10",
  "title": "Laravel framework\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\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

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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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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