CNVD-2023-95286

Vulnerability from cnvd - Published: 2023-12-04
VLAI
Title
IBM QRadar WinCollect Agent代码问题漏洞
Description
IBM QRadar WinCollect Agent是美国国际商业机器(IBM)公司的一款用于收集和发送Windows事件日志的代理程序。 IBM QRadar WinCollect Agent 10.0版本至10.1.7版本存在代码问题漏洞,该漏洞源于编码不当。攻击者可利用该漏洞执行未经授权的操作。
Severity
低
Patch Name
IBM QRadar WinCollect Agent代码问题漏洞的补丁
Patch Description
IBM QRadar WinCollect Agent是美国国际商业机器(IBM)公司的一款用于收集和发送Windows事件日志的代理程序。 IBM QRadar WinCollect Agent 10.0版本至10.1.7版本存在代码问题漏洞,该漏洞源于编码不当。攻击者可利用该漏洞执行未经授权的操作。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/7081403

Reference
https://nvd.nist.gov/vuln/detail/CVE-2023-26279
Impacted products
Name
IBM IBM QRadar WinCollect Agent >=10.0,<=10.1.7
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2023-26279",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2023-26279"
    }
  },
  "description": "IBM QRadar WinCollect Agent\u662f\u7f8e\u56fd\u56fd\u9645\u5546\u4e1a\u673a\u5668\uff08IBM\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u7528\u4e8e\u6536\u96c6\u548c\u53d1\u9001Windows\u4e8b\u4ef6\u65e5\u5fd7\u7684\u4ee3\u7406\u7a0b\u5e8f\u3002\n\nIBM QRadar WinCollect Agent 10.0\u7248\u672c\u81f310.1.7\u7248\u672c\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f16\u7801\u4e0d\u5f53\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u672a\u7ecf\u6388\u6743\u7684\u64cd\u4f5c\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/7081403",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2023-95286",
  "openTime": "2023-12-04",
  "patchDescription": "IBM QRadar WinCollect Agent\u662f\u7f8e\u56fd\u56fd\u9645\u5546\u4e1a\u673a\u5668\uff08IBM\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u7528\u4e8e\u6536\u96c6\u548c\u53d1\u9001Windows\u4e8b\u4ef6\u65e5\u5fd7\u7684\u4ee3\u7406\u7a0b\u5e8f\u3002\r\n\r\nIBM QRadar WinCollect Agent 10.0\u7248\u672c\u81f310.1.7\u7248\u672c\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f16\u7801\u4e0d\u5f53\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u672a\u7ecf\u6388\u6743\u7684\u64cd\u4f5c\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 WinCollect Agent\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "IBM IBM QRadar WinCollect Agent \u003e=10.0\uff0c\u003c=10.1.7"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2023-26279",
  "serverity": "\u4f4e",
  "submitTime": "2023-11-27",
  "title": "IBM QRadar WinCollect Agent\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Loading…

Loading…

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.


Loading…