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CNVD-2024-41251

Vulnerability from cnvd - Published: 2024-10-21
VLAI
Title
IBM QRadar Suite日志信息泄露漏洞(CNVD-2024-41251)
Description
IBM QRadar Suite是美国国际商业机器(IBM)公司的一款集成式的安全信息与事件管理(SIEM)解决方案,用于监控和分析组织中的网络活动以检测潜在的安全威胁。 IBM QRadar Suite存在日志信息泄露漏洞,攻击者可利用该漏洞读取日志文件中的敏感信息。
Severity
Patch Name
IBM QRadar Suite日志信息泄露漏洞(CNVD-2024-41251)的补丁
Patch Description
IBM QRadar Suite是美国国际商业机器(IBM)公司的一款集成式的安全信息与事件管理(SIEM)解决方案,用于监控和分析组织中的网络活动以检测潜在的安全威胁。 IBM QRadar Suite存在日志信息泄露漏洞,攻击者可利用该漏洞读取日志文件中的敏感信息。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/7118642

Reference
https://exchange.xforce.ibmcloud.com/vulnerabilities/279975
Impacted products
Name
['IBM IBM Cloud Pak for Security >=1.10.0.0,<=1.10.11.0', 'IBM IBM QRadar Suite >=1.10.12.0,<=1.10.17.0']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2024-22335"
    }
  },
  "description": "IBM QRadar Suite\u662f\u7f8e\u56fd\u56fd\u9645\u5546\u4e1a\u673a\u5668\uff08IBM\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u96c6\u6210\u5f0f\u7684\u5b89\u5168\u4fe1\u606f\u4e0e\u4e8b\u4ef6\u7ba1\u7406\uff08SIEM\uff09\u89e3\u51b3\u65b9\u6848\uff0c\u7528\u4e8e\u76d1\u63a7\u548c\u5206\u6790\u7ec4\u7ec7\u4e2d\u7684\u7f51\u7edc\u6d3b\u52a8\u4ee5\u68c0\u6d4b\u6f5c\u5728\u7684\u5b89\u5168\u5a01\u80c1\u3002\n\nIBM QRadar Suite\u5b58\u5728\u65e5\u5fd7\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8bfb\u53d6\u65e5\u5fd7\u6587\u4ef6\u4e2d\u7684\u654f\u611f\u4fe1\u606f\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/7118642",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2024-41251",
  "openTime": "2024-10-21",
  "patchDescription": "IBM QRadar Suite\u662f\u7f8e\u56fd\u56fd\u9645\u5546\u4e1a\u673a\u5668\uff08IBM\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u96c6\u6210\u5f0f\u7684\u5b89\u5168\u4fe1\u606f\u4e0e\u4e8b\u4ef6\u7ba1\u7406\uff08SIEM\uff09\u89e3\u51b3\u65b9\u6848\uff0c\u7528\u4e8e\u76d1\u63a7\u548c\u5206\u6790\u7ec4\u7ec7\u4e2d\u7684\u7f51\u7edc\u6d3b\u52a8\u4ee5\u68c0\u6d4b\u6f5c\u5728\u7684\u5b89\u5168\u5a01\u80c1\u3002\r\n\r\nIBM QRadar Suite\u5b58\u5728\u65e5\u5fd7\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8bfb\u53d6\u65e5\u5fd7\u6587\u4ef6\u4e2d\u7684\u654f\u611f\u4fe1\u606f\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 QRadar Suite\u65e5\u5fd7\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2024-41251\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "IBM IBM Cloud Pak for Security \u003e=1.10.0.0\uff0c\u003c=1.10.11.0",
      "IBM IBM QRadar Suite \u003e=1.10.12.0\uff0c\u003c=1.10.17.0"
    ]
  },
  "referenceLink": "https://exchange.xforce.ibmcloud.com/vulnerabilities/279975",
  "serverity": "\u4e2d",
  "submitTime": "2024-02-22",
  "title": "IBM QRadar Suite\u65e5\u5fd7\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2024-41251\uff09"
}



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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.
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  • 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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