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CNVD-2022-66265

Vulnerability from cnvd - Published: 2022-09-30
VLAI
Title
IBM Cognos Controller XML外部实体注入漏洞
Description
IBM Cognos Controller是美国IBM公司的一套商业智能与计划解决方案。该产品具有流程自动化、财务审计控制、创建和管理财务报告等功能。 IBM Cognos Controller存在XML外部实体注入漏洞,该漏洞源于产品未能正确过滤XML数据中的特殊字符,攻击者可利用该漏洞获取敏感信息或消耗内存资源。
Severity
Patch Name
IBM Cognos Controller XML外部实体注入漏洞的补丁
Patch Description
IBM Cognos Controller是美国IBM公司的一套商业智能与计划解决方案。该产品具有流程自动化、财务审计控制、创建和管理财务报告等功能。 IBM Cognos Controller存在XML外部实体注入漏洞,该漏洞源于产品未能正确过滤XML数据中的特殊字符,攻击者可利用该漏洞获取敏感信息或消耗内存资源。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: https://www.ibm.com/support/pages/node/6509856

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-4875
Impacted products
Name
['IBM Cognos Controller 10.4.0', 'IBM Cognos Controller 10.4.1', 'IBM Cognos Controller 10.4.2']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-4875",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-4875"
    }
  },
  "description": "IBM Cognos Controller\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u5957\u5546\u4e1a\u667a\u80fd\u4e0e\u8ba1\u5212\u89e3\u51b3\u65b9\u6848\u3002\u8be5\u4ea7\u54c1\u5177\u6709\u6d41\u7a0b\u81ea\u52a8\u5316\u3001\u8d22\u52a1\u5ba1\u8ba1\u63a7\u5236\u3001\u521b\u5efa\u548c\u7ba1\u7406\u8d22\u52a1\u62a5\u544a\u7b49\u529f\u80fd\u3002\n\nIBM Cognos Controller\u5b58\u5728XML\u5916\u90e8\u5b9e\u4f53\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u4ea7\u54c1\u672a\u80fd\u6b63\u786e\u8fc7\u6ee4XML\u6570\u636e\u4e2d\u7684\u7279\u6b8a\u5b57\u7b26\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u6216\u6d88\u8017\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\nhttps://www.ibm.com/support/pages/node/6509856",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-66265",
  "openTime": "2022-09-30",
  "patchDescription": "IBM Cognos Controller\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u5957\u5546\u4e1a\u667a\u80fd\u4e0e\u8ba1\u5212\u89e3\u51b3\u65b9\u6848\u3002\u8be5\u4ea7\u54c1\u5177\u6709\u6d41\u7a0b\u81ea\u52a8\u5316\u3001\u8d22\u52a1\u5ba1\u8ba1\u63a7\u5236\u3001\u521b\u5efa\u548c\u7ba1\u7406\u8d22\u52a1\u62a5\u544a\u7b49\u529f\u80fd\u3002\r\n\r\nIBM Cognos Controller\u5b58\u5728XML\u5916\u90e8\u5b9e\u4f53\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u4ea7\u54c1\u672a\u80fd\u6b63\u786e\u8fc7\u6ee4XML\u6570\u636e\u4e2d\u7684\u7279\u6b8a\u5b57\u7b26\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u6216\u6d88\u8017\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 Cognos Controller XML\u5916\u90e8\u5b9e\u4f53\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "IBM Cognos Controller 10.4.0",
      "IBM Cognos Controller 10.4.1",
      "IBM Cognos Controller 10.4.2"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-4875",
  "serverity": "\u4e2d",
  "submitTime": "2022-03-31",
  "title": "IBM Cognos Controller 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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  • 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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