CNVD-2016-04036

Vulnerability from cnvd - Published: 2016-06-15
VLAI
Title
EMC Data Domain不安全密码重置漏洞
Description
EMC Data Domain系统是数据保护存储解决方案。 EMC Data Domain 5.4、5.5、5.6、5.7版本存在安全漏洞,可使用户更改密码,而无需提供当前密码,甚至更改同一角色其他用户的密码。
Severity
高
Patch Name
EMC Data Domain不安全密码重置漏洞的补丁
Patch Description
EMC Data Domain系统是数据保护存储解决方案。 EMC Data Domain 5.4、5.5、5.6、5.7版本存在安全漏洞,可使用户更改密码,而无需提供当前密码,甚至更改同一角色其他用户的密码。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

目前厂商已经发布了升级补丁以修复这个安全问题,请到厂商的主页下载: https://support.emc.com/downloads/32697_DD-OS

Reference
http://www.securityfocus.com/archive/1/538642/30/0/threaded
Impacted products
Name
['EMC Data Domain OS 5.4', 'EMC Data Domain OS 5.5', 'EMC Data Domain OS 5.6', 'EMC Data Domain OS 5.7']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-0912"
    }
  },
  "description": "EMC Data Domain\u7cfb\u7edf\u662f\u6570\u636e\u4fdd\u62a4\u5b58\u50a8\u89e3\u51b3\u65b9\u6848\u3002\r\n\r\nEMC Data Domain 5.4\u30015.5\u30015.6\u30015.7\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u53ef\u4f7f\u7528\u6237\u66f4\u6539\u5bc6\u7801\uff0c\u800c\u65e0\u9700\u63d0\u4f9b\u5f53\u524d\u5bc6\u7801\uff0c\u751a\u81f3\u66f4\u6539\u540c\u4e00\u89d2\u8272\u5176\u4ed6\u7528\u6237\u7684\u5bc6\u7801\u3002",
  "discovererName": "EMC",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttps://support.emc.com/downloads/32697_DD-OS",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-04036",
  "openTime": "2016-06-15",
  "patchDescription": "EMC Data Domain\u7cfb\u7edf\u662f\u6570\u636e\u4fdd\u62a4\u5b58\u50a8\u89e3\u51b3\u65b9\u6848\u3002\r\n\r\nEMC Data Domain 5.4\u30015.5\u30015.6\u30015.7\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u53ef\u4f7f\u7528\u6237\u66f4\u6539\u5bc6\u7801\uff0c\u800c\u65e0\u9700\u63d0\u4f9b\u5f53\u524d\u5bc6\u7801\uff0c\u751a\u81f3\u66f4\u6539\u540c\u4e00\u89d2\u8272\u5176\u4ed6\u7528\u6237\u7684\u5bc6\u7801\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": "EMC Data Domain\u4e0d\u5b89\u5168\u5bc6\u7801\u91cd\u7f6e\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "EMC Data Domain OS 5.4",
      "EMC Data Domain OS 5.5",
      "EMC Data Domain OS 5.6",
      "EMC Data Domain OS 5.7"
    ]
  },
  "referenceLink": "http://www.securityfocus.com/archive/1/538642/30/0/threaded",
  "serverity": "\u9ad8",
  "submitTime": "2016-06-14",
  "title": "EMC Data Domain\u4e0d\u5b89\u5168\u5bc6\u7801\u91cd\u7f6e\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Loading…

Loading…

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.


Loading…