CNVD-2015-01115

Vulnerability from cnvd - Published: 2015-02-12
VLAI
Title
EMC Documentum D2信息泄露漏洞
Description
EMC Documentum D2是一个企业文档管理软件。 EMC Documentum D2-API组建会记录用于加密D2敏感系统的使用MD5哈希的密码和用户凭据记录到日志文件中,低特权用户可获取MD5哈希,并执行恶意操作。
Severity
Patch Name
EMC Documentum D2信息泄露漏洞的补丁
Patch Description
EMC Documentum D2是一个企业文档管理软件。 EMC Documentum D2-API组建会记录用于加密D2敏感系统的使用MD5哈希的密码和用户凭据记录到日志文件中,低特权用户可获取MD5哈希,并执行恶意操作。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

EMC Documentum D2 4.1 P22和EMC Documentum D2 4.2 P11已经修复该漏洞,建议用户下载更新: http://www.emc.com/?fromGlobalSiteSelect

Reference
http://www.securityfocus.com/archive/1/534621
Impacted products
Name
['EMC Documentum D2 3.1', 'EMC Documentum D2 3.1SP1', 'EMC Documentum D2 4.0', 'EMC Documentum D2 4.1', 'EMC Documentum D2 4.2']
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "72501"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-0517"
    }
  },
  "description": "EMC Documentum D2\u662f\u4e00\u4e2a\u4f01\u4e1a\u6587\u6863\u7ba1\u7406\u8f6f\u4ef6\u3002\r\n\r\nEMC Documentum D2-API\u7ec4\u5efa\u4f1a\u8bb0\u5f55\u7528\u4e8e\u52a0\u5bc6D2\u654f\u611f\u7cfb\u7edf\u7684\u4f7f\u7528MD5\u54c8\u5e0c\u7684\u5bc6\u7801\u548c\u7528\u6237\u51ed\u636e\u8bb0\u5f55\u5230\u65e5\u5fd7\u6587\u4ef6\u4e2d\uff0c\u4f4e\u7279\u6743\u7528\u6237\u53ef\u83b7\u53d6MD5\u54c8\u5e0c\uff0c\u5e76\u6267\u884c\u6076\u610f\u64cd\u4f5c\u3002",
  "discovererName": "EMC",
  "formalWay": "EMC Documentum D2 4.1 P22\u548cEMC Documentum D2 4.2 P11\u5df2\u7ecf\u4fee\u590d\u8be5\u6f0f\u6d1e\uff0c\u5efa\u8bae\u7528\u6237\u4e0b\u8f7d\u66f4\u65b0\uff1a\r\nhttp://www.emc.com/?fromGlobalSiteSelect",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-01115",
  "openTime": "2015-02-12",
  "patchDescription": "EMC Documentum D2\u662f\u4e00\u4e2a\u4f01\u4e1a\u6587\u6863\u7ba1\u7406\u8f6f\u4ef6\u3002 \r\n\r\nEMC Documentum D2-API\u7ec4\u5efa\u4f1a\u8bb0\u5f55\u7528\u4e8e\u52a0\u5bc6D2\u654f\u611f\u7cfb\u7edf\u7684\u4f7f\u7528MD5\u54c8\u5e0c\u7684\u5bc6\u7801\u548c\u7528\u6237\u51ed\u636e\u8bb0\u5f55\u5230\u65e5\u5fd7\u6587\u4ef6\u4e2d\uff0c\u4f4e\u7279\u6743\u7528\u6237\u53ef\u83b7\u53d6MD5\u54c8\u5e0c\uff0c\u5e76\u6267\u884c\u6076\u610f\u64cd\u4f5c\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 Documentum D2\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "EMC Documentum D2 3.1",
      "EMC Documentum D2  3.1SP1",
      "EMC Documentum D2  4.0",
      "EMC Documentum D2  4.1",
      "EMC Documentum D2  4.2"
    ]
  },
  "referenceLink": "http://www.securityfocus.com/archive/1/534621",
  "serverity": "\u4e2d",
  "submitTime": "2015-02-06",
  "title": "EMC Documentum D2\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

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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