CNVD-2017-00062

Vulnerability from cnvd - Published: 2017-01-04
VLAI
Title
Pivotal MySQL for PCF信息泄露漏洞
Description
MySQL for PCF是美国Pivotal公司的产品,它使CloudFoundry用户能够在高度可用的复制服务器集群上配置MySQL数据库,并自动将用户凭据提供给运行时环境变量中的应用程序。 MySQL for PCF存在信息泄露漏洞。攻击者可利用此漏洞获取敏感信息。
Severity
Patch Name
Pivotal MySQL for PCF信息泄露漏洞的补丁
Patch Description
MySQL for PCF是美国Pivotal公司的产品,它使CloudFoundry用户能够在高度可用的复制服务器集群上配置MySQL数据库,并自动将用户凭据提供给运行时环境变量中的应用程序。 MySQL for PCF存在信息泄露漏洞。攻击者可利用此漏洞获取敏感信息。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

用户可联系供应商获得补丁信息: https://pivotal.io/

Reference
http://www.securityfocus.com/bid/95146
Impacted products
Name
Pivotal MySQL for PCF 1.7.*,<1.7.10
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "95146"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-0898",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2016-0898"
    }
  },
  "description": "MySQL for PCF\u662f\u7f8e\u56fdPivotal\u516c\u53f8\u7684\u4ea7\u54c1\uff0c\u5b83\u4f7fCloudFoundry\u7528\u6237\u80fd\u591f\u5728\u9ad8\u5ea6\u53ef\u7528\u7684\u590d\u5236\u670d\u52a1\u5668\u96c6\u7fa4\u4e0a\u914d\u7f6eMySQL\u6570\u636e\u5e93\uff0c\u5e76\u81ea\u52a8\u5c06\u7528\u6237\u51ed\u636e\u63d0\u4f9b\u7ed9\u8fd0\u884c\u65f6\u73af\u5883\u53d8\u91cf\u4e2d\u7684\u5e94\u7528\u7a0b\u5e8f\u3002\r\n\r\nMySQL for PCF\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u3002",
  "discovererName": "Pivotal Team",
  "formalWay": "\u7528\u6237\u53ef\u8054\u7cfb\u4f9b\u5e94\u5546\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a\r\nhttps://pivotal.io/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-00062",
  "openTime": "2017-01-04",
  "patchDescription": "MySQL for PCF\u662f\u7f8e\u56fdPivotal\u516c\u53f8\u7684\u4ea7\u54c1\uff0c\u5b83\u4f7fCloudFoundry\u7528\u6237\u80fd\u591f\u5728\u9ad8\u5ea6\u53ef\u7528\u7684\u590d\u5236\u670d\u52a1\u5668\u96c6\u7fa4\u4e0a\u914d\u7f6eMySQL\u6570\u636e\u5e93\uff0c\u5e76\u81ea\u52a8\u5c06\u7528\u6237\u51ed\u636e\u63d0\u4f9b\u7ed9\u8fd0\u884c\u65f6\u73af\u5883\u53d8\u91cf\u4e2d\u7684\u5e94\u7528\u7a0b\u5e8f\u3002\r\n\r\nMySQL for PCF\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\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": "Pivotal MySQL for PCF\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Pivotal MySQL for PCF 1.7.*\uff0c\u003c1.7.10"
  },
  "referenceLink": "http://www.securityfocus.com/bid/95146",
  "serverity": "\u4e2d",
  "submitTime": "2016-12-30",
  "title": "Pivotal MySQL for PCF\u4fe1\u606f\u6cc4\u9732\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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