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CNVD-2017-33581

Vulnerability from cnvd - Published: 2017-11-10
VLAI
Title
Kaltura PHP对象注入漏洞
Description
Kaltura是美国Kaltura公司的一套开源的在线视频平台。 Kaltura 13.2.0之前的版本中‘getUserzoneCookie’函数存在安全漏洞。远程攻击者可借助特制的userzone cookie利用该漏洞绕过保护机制,注入并执行任意的PHP代码。
Severity
Patch Name
Kaltura PHP对象注入漏洞的补丁
Patch Description
Kaltura是美国Kaltura公司的一套开源的在线视频平台。 Kaltura 13.2.0之前的版本中‘getUserzoneCookie’函数存在安全漏洞。远程攻击者可借助特制的userzone cookie利用该漏洞绕过保护机制,注入并执行任意的PHP代码。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

厂商已发布漏洞修复程序,请及时关注更新: https://github.com/kaltura/server/commit/6a6d14328b7a1493e8c47f9565461e5f88be20c9#diff-0770640cc76112cbf77bebc604852682

Reference
https://telekomsecurity.github.io/assets/advisories/20170912_kaltura-advisory.txt http://www.exploitalert.com/view-details.html?id=27841
Impacted products
Name
Kaltura Kaltura <13.2.0
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "100976"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-14143"
    }
  },
  "description": "Kaltura\u662f\u7f8e\u56fdKaltura\u516c\u53f8\u7684\u4e00\u5957\u5f00\u6e90\u7684\u5728\u7ebf\u89c6\u9891\u5e73\u53f0\u3002\r\n\r\nKaltura 13.2.0\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u2018getUserzoneCookie\u2019\u51fd\u6570\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684userzone cookie\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7\u4fdd\u62a4\u673a\u5236\uff0c\u6ce8\u5165\u5e76\u6267\u884c\u4efb\u610f\u7684PHP\u4ee3\u7801\u3002",
  "discovererName": "Daniel Jensen",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/kaltura/server/commit/6a6d14328b7a1493e8c47f9565461e5f88be20c9#diff-0770640cc76112cbf77bebc604852682",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-33581",
  "openTime": "2017-11-10",
  "patchDescription": "Kaltura\u662f\u7f8e\u56fdKaltura\u516c\u53f8\u7684\u4e00\u5957\u5f00\u6e90\u7684\u5728\u7ebf\u89c6\u9891\u5e73\u53f0\u3002\r\n\r\nKaltura 13.2.0\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u2018getUserzoneCookie\u2019\u51fd\u6570\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684userzone cookie\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7\u4fdd\u62a4\u673a\u5236\uff0c\u6ce8\u5165\u5e76\u6267\u884c\u4efb\u610f\u7684PHP\u4ee3\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": "Kaltura PHP\u5bf9\u8c61\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Kaltura Kaltura \u003c13.2.0"
  },
  "referenceLink": "https://telekomsecurity.github.io/assets/advisories/20170912_kaltura-advisory.txt\r\nhttp://www.exploitalert.com/view-details.html?id=27841",
  "serverity": "\u9ad8",
  "submitTime": "2017-09-20",
  "title": "Kaltura PHP\u5bf9\u8c61\u6ce8\u5165\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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