CNVD-2024-15374

Vulnerability from cnvd - Published: 2024-03-22
VLAI
Title
IBM Content Navigator路径遍历漏洞
Description
IBM Content Navigator是美国国际商业机器(IBM)公司的一款Web客户机。该产品支持从Web浏览器搜索和处理存储在内容服务器中的文档。 IBM Content Navigator存在路径遍历漏洞,远程攻击者可利用该漏洞遍历系统上的目录。
Severity
中
Patch Name
IBM Content Navigator路径遍历漏洞的补丁
Patch Description
IBM Content Navigator是美国国际商业机器(IBM)公司的一款Web客户机。该产品支持从Web浏览器搜索和处理存储在内容服务器中的文档。 IBM Content Navigator存在路径遍历漏洞,远程攻击者可利用该漏洞遍历系统上的目录。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/7039783

Reference
https://exchange.xforce.ibmcloud.com/vulnerabilities/261115
Impacted products
Name
['IBM Filenet Content Manager Component 5.5.8.0', 'IBM Filenet Content Manager Component 5.5.10.0', 'IBM Filenet Content Manager Component 5.5.11.0']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2023-38366"
    }
  },
  "description": "IBM Content Navigator\u662f\u7f8e\u56fd\u56fd\u9645\u5546\u4e1a\u673a\u5668\uff08IBM\uff09\u516c\u53f8\u7684\u4e00\u6b3eWeb\u5ba2\u6237\u673a\u3002\u8be5\u4ea7\u54c1\u652f\u6301\u4eceWeb\u6d4f\u89c8\u5668\u641c\u7d22\u548c\u5904\u7406\u5b58\u50a8\u5728\u5185\u5bb9\u670d\u52a1\u5668\u4e2d\u7684\u6587\u6863\u3002\n\nIBM Content Navigator\u5b58\u5728\u8def\u5f84\u904d\u5386\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u904d\u5386\u7cfb\u7edf\u4e0a\u7684\u76ee\u5f55\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/7039783",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2024-15374",
  "openTime": "2024-03-22",
  "patchDescription": "IBM Content Navigator\u662f\u7f8e\u56fd\u56fd\u9645\u5546\u4e1a\u673a\u5668\uff08IBM\uff09\u516c\u53f8\u7684\u4e00\u6b3eWeb\u5ba2\u6237\u673a\u3002\u8be5\u4ea7\u54c1\u652f\u6301\u4eceWeb\u6d4f\u89c8\u5668\u641c\u7d22\u548c\u5904\u7406\u5b58\u50a8\u5728\u5185\u5bb9\u670d\u52a1\u5668\u4e2d\u7684\u6587\u6863\u3002\r\n\r\nIBM Content Navigator\u5b58\u5728\u8def\u5f84\u904d\u5386\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u904d\u5386\u7cfb\u7edf\u4e0a\u7684\u76ee\u5f55\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 Content Navigator\u8def\u5f84\u904d\u5386\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "IBM Filenet Content Manager Component 5.5.8.0",
      "IBM Filenet Content Manager Component  5.5.10.0",
      "IBM Filenet Content Manager Component 5.5.11.0"
    ]
  },
  "referenceLink": "https://exchange.xforce.ibmcloud.com/vulnerabilities/261115",
  "serverity": "\u4e2d",
  "submitTime": "2024-03-05",
  "title": "IBM Content Navigator\u8def\u5f84\u904d\u5386\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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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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