CNVD-2019-40822

Vulnerability from cnvd - Published: 2019-11-15
VLAI
Title
IBM Security Identity Manager XML外部实体注入漏洞
Description
IBM Security Identity Manager 是美国IBM公司的是一种基于策略的自动化解决方案,可管理跨IT环境的用户访问,有助于在整个企业范围内推动有效的身份管理和治理。 IBM Security Identity Manager 7.0.1版本中在处理XML数据时存在XML外部实体注入漏洞,远程攻击者可利用该漏洞泄露敏感信息或占用内存资源。
Severity
Patch Name
IBM Security Identity Manager XML外部实体注入漏洞的补丁
Patch Description
IBM Security Identity Manager 是美国IBM公司的是一种基于策略的自动化解决方案,可管理跨IT环境的用户访问,有助于在整个企业范围内推动有效的身份管理和治理。 IBM Security Identity Manager 7.0.1版本中在处理XML数据时存在XML外部实体注入漏洞,远程攻击者可利用该漏洞泄露敏感信息或占用内存资源。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

厂商已发布了漏洞修复程序,请及时关注更新: http://www.ibm.com/support/docview.wss?uid=ibm10796380

Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-1970 https://exchange.xforce.ibmcloud.com/vulnerabilities/153751
Impacted products
Name
IBM Security Identity Manager 7.0.1
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "107152"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-1970",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2018-1970"
    }
  },
  "description": "IBM Security Identity Manager \u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u662f\u4e00\u79cd\u57fa\u4e8e\u7b56\u7565\u7684\u81ea\u52a8\u5316\u89e3\u51b3\u65b9\u6848\uff0c\u53ef\u7ba1\u7406\u8de8IT\u73af\u5883\u7684\u7528\u6237\u8bbf\u95ee\uff0c\u6709\u52a9\u4e8e\u5728\u6574\u4e2a\u4f01\u4e1a\u8303\u56f4\u5185\u63a8\u52a8\u6709\u6548\u7684\u8eab\u4efd\u7ba1\u7406\u548c\u6cbb\u7406\u3002\n\nIBM Security Identity Manager 7.0.1\u7248\u672c\u4e2d\u5728\u5904\u7406XML\u6570\u636e\u65f6\u5b58\u5728XML\u5916\u90e8\u5b9e\u4f53\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6cc4\u9732\u654f\u611f\u4fe1\u606f\u6216\u5360\u7528\u5185\u5b58\u8d44\u6e90\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttp://www.ibm.com/support/docview.wss?uid=ibm10796380",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-40822",
  "openTime": "2019-11-15",
  "patchDescription": "IBM Security Identity Manager \u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u662f\u4e00\u79cd\u57fa\u4e8e\u7b56\u7565\u7684\u81ea\u52a8\u5316\u89e3\u51b3\u65b9\u6848\uff0c\u53ef\u7ba1\u7406\u8de8IT\u73af\u5883\u7684\u7528\u6237\u8bbf\u95ee\uff0c\u6709\u52a9\u4e8e\u5728\u6574\u4e2a\u4f01\u4e1a\u8303\u56f4\u5185\u63a8\u52a8\u6709\u6548\u7684\u8eab\u4efd\u7ba1\u7406\u548c\u6cbb\u7406\u3002\r\n\r\nIBM Security Identity Manager 7.0.1\u7248\u672c\u4e2d\u5728\u5904\u7406XML\u6570\u636e\u65f6\u5b58\u5728XML\u5916\u90e8\u5b9e\u4f53\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6cc4\u9732\u654f\u611f\u4fe1\u606f\u6216\u5360\u7528\u5185\u5b58\u8d44\u6e90\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 Security Identity Manager XML\u5916\u90e8\u5b9e\u4f53\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "IBM Security Identity Manager 7.0.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-1970\r\nhttps://exchange.xforce.ibmcloud.com/vulnerabilities/153751",
  "serverity": "\u4e2d",
  "submitTime": "2019-08-08",
  "title": "IBM Security Identity Manager XML\u5916\u90e8\u5b9e\u4f53\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

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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.
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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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