CNVD-2019-18849

Vulnerability from cnvd - Published: 2019-06-21
VLAI
Title
IBM Campaign任意下载漏洞
Description
IBM Campaign(前称Unica Campaign)是美国IBM公司的一套用于帮助营销人员设计、执行、衡量和优化营销广告的管理解决方案。 IBM Campaign 9.1.2版本和10.1版本中存在安全漏洞。攻击者可通过发送包含‘..’序列的特制URL请求利用该漏洞查看系统上的任意文件。
Severity
中
Patch Name
IBM Campaign任意下载漏洞的补丁
Patch Description
IBM Campaign(前称Unica Campaign)是美国IBM公司的一套用于帮助营销人员设计、执行、衡量和优化营销广告的管理解决方案。 IBM Campaign 9.1.2版本和10.1版本中存在安全漏洞。攻击者可通过发送包含‘..’序列的特制URL请求利用该漏洞查看系统上的任意文件。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

目前厂商已发布升级补丁以修复漏洞,补丁获取链接: https://www-01.ibm.com/support/docview.wss?uid=ibm10887817

Reference
https://www-01.ibm.com/support/docview.wss?uid=ibm10887817
Impacted products
Name
['IBM Campaign 9.1.2', 'IBM Campaign 10.1']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-4384",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-4384"
    }
  },
  "description": "IBM Campaign\uff08\u524d\u79f0Unica Campaign\uff09\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u5957\u7528\u4e8e\u5e2e\u52a9\u8425\u9500\u4eba\u5458\u8bbe\u8ba1\u3001\u6267\u884c\u3001\u8861\u91cf\u548c\u4f18\u5316\u8425\u9500\u5e7f\u544a\u7684\u7ba1\u7406\u89e3\u51b3\u65b9\u6848\u3002\n\nIBM Campaign 9.1.2\u7248\u672c\u548c10.1\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u53d1\u9001\u5305\u542b\u2018..\u2019\u5e8f\u5217\u7684\u7279\u5236URL\u8bf7\u6c42\u5229\u7528\u8be5\u6f0f\u6d1e\u67e5\u770b\u7cfb\u7edf\u4e0a\u7684\u4efb\u610f\u6587\u4ef6\u3002",
  "discovererName": "Pierre d\u0027Huy",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://www-01.ibm.com/support/docview.wss?uid=ibm10887817",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-18849",
  "openTime": "2019-06-21",
  "patchDescription": "IBM Campaign\uff08\u524d\u79f0Unica Campaign\uff09\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u5957\u7528\u4e8e\u5e2e\u52a9\u8425\u9500\u4eba\u5458\u8bbe\u8ba1\u3001\u6267\u884c\u3001\u8861\u91cf\u548c\u4f18\u5316\u8425\u9500\u5e7f\u544a\u7684\u7ba1\u7406\u89e3\u51b3\u65b9\u6848\u3002\r\n\r\nIBM Campaign 9.1.2\u7248\u672c\u548c10.1\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u53d1\u9001\u5305\u542b\u2018..\u2019\u5e8f\u5217\u7684\u7279\u5236URL\u8bf7\u6c42\u5229\u7528\u8be5\u6f0f\u6d1e\u67e5\u770b\u7cfb\u7edf\u4e0a\u7684\u4efb\u610f\u6587\u4ef6\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": "IBM Campaign\u4efb\u610f\u4e0b\u8f7d\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "IBM Campaign 9.1.2",
      "IBM Campaign 10.1"
    ]
  },
  "referenceLink": "https://www-01.ibm.com/support/docview.wss?uid=ibm10887817",
  "serverity": "\u4e2d",
  "submitTime": "2019-06-21",
  "title": "IBM Campaign\u4efb\u610f\u4e0b\u8f7d\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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