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CNVD-2017-06148

Vulnerability from cnvd - Published: 2017-05-09
VLAI
Title
Unitrends Enterprise Backup‘token’cookie修改提权漏洞
Description
Unitrends Enterprise Backup是美国Unitrends公司的一套企业级数据保护软件。该软件提供数据备份、数据恢复和重复数据删除等功能。 Unitrends Enterprise Backup 9.0.0之前的版本中存在安全漏洞。攻击者可通过更改在登陆时发布的‘token’cookie利用该漏洞将权限提升至root权限。
Severity
Formal description

厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://www.unitrends.com/sro-pages/master/enterprisebackup

Reference
https://rhinosecuritylabs.com/penetration-testing/dns-zone-transfer-attack/ https://nvd.nist.gov/vuln/detail/CVE-2017-7279
Impacted products
Name
Unitrends Enterprise Backup <9.0.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-7279"
    }
  },
  "description": "Unitrends Enterprise Backup\u662f\u7f8e\u56fdUnitrends\u516c\u53f8\u7684\u4e00\u5957\u4f01\u4e1a\u7ea7\u6570\u636e\u4fdd\u62a4\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u63d0\u4f9b\u6570\u636e\u5907\u4efd\u3001\u6570\u636e\u6062\u590d\u548c\u91cd\u590d\u6570\u636e\u5220\u9664\u7b49\u529f\u80fd\u3002\r\n\r\nUnitrends Enterprise Backup 9.0.0\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u66f4\u6539\u5728\u767b\u9646\u65f6\u53d1\u5e03\u7684\u2018token\u2019cookie\u5229\u7528\u8be5\u6f0f\u6d1e\u5c06\u6743\u9650\u63d0\u5347\u81f3root\u6743\u9650\u3002",
  "discovererName": "unknown",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://www.unitrends.com/sro-pages/master/enterprisebackup",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-06148",
  "openTime": "2017-05-09",
  "products": {
    "product": "Unitrends Enterprise Backup \u003c9.0.0"
  },
  "referenceLink": "https://rhinosecuritylabs.com/penetration-testing/dns-zone-transfer-attack/\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2017-7279",
  "serverity": "\u9ad8",
  "submitTime": "2017-04-21",
  "title": "Unitrends Enterprise Backup\u2018token\u2019cookie\u4fee\u6539\u63d0\u6743\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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