CNVD-2022-08966

Vulnerability from cnvd - Published: 2022-02-09
VLAI
Title
IBM Security Verify Access未授权访问漏洞
Description
IBM Security Verify Access(ISAM)是美国IBM公司的一款提高用户访问安全的服务。 IBM Security Verify Access 10.0.0.0、10.0.1.0和10.0.2.0版本存在安全漏洞,攻击者可利用该漏洞以系统上的任何用户身份进行身份验证。
Severity
中
Patch Name
IBM Security Verify Access未授权访问漏洞的补丁
Patch Description
IBM Security Verify Access(ISAM)是美国IBM公司的一款提高用户访问安全的服务。 IBM Security Verify Access 10.0.0.0、10.0.1.0和10.0.2.0版本存在安全漏洞,攻击者可利用该漏洞以系统上的任何用户身份进行身份验证。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

目前厂商已发布升级补丁以修复漏洞,补丁获取链接:https://www.ibm.com/support/pages/node/6552318

Reference
https://www.ibm.com/support/pages/node/6552318
Impacted products
Name
['IBM IBM Security Verify Access 10.0.0.0', 'IBM IBM Security Verify Access 10.0.1.0', 'IBM IBM Security Verify Access 10.0.2.0']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-39070",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-39070"
    }
  },
  "description": "IBM Security Verify Access\uff08ISAM\uff09\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u6b3e\u63d0\u9ad8\u7528\u6237\u8bbf\u95ee\u5b89\u5168\u7684\u670d\u52a1\u3002\n\nIBM Security Verify Access 10.0.0.0\u300110.0.1.0\u548c10.0.2.0\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4ee5\u7cfb\u7edf\u4e0a\u7684\u4efb\u4f55\u7528\u6237\u8eab\u4efd\u8fdb\u884c\u8eab\u4efd\u9a8c\u8bc1\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1ahttps://www.ibm.com/support/pages/node/6552318",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-08966",
  "openTime": "2022-02-09",
  "patchDescription": "IBM Security Verify Access\uff08ISAM\uff09\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u6b3e\u63d0\u9ad8\u7528\u6237\u8bbf\u95ee\u5b89\u5168\u7684\u670d\u52a1\u3002\r\n\r\nIBM Security Verify Access 10.0.0.0\u300110.0.1.0\u548c10.0.2.0\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4ee5\u7cfb\u7edf\u4e0a\u7684\u4efb\u4f55\u7528\u6237\u8eab\u4efd\u8fdb\u884c\u8eab\u4efd\u9a8c\u8bc1\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 Verify Access\u672a\u6388\u6743\u8bbf\u95ee\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "IBM IBM Security Verify Access 10.0.0.0",
      "IBM IBM Security Verify Access 10.0.1.0",
      "IBM IBM Security Verify Access 10.0.2.0"
    ]
  },
  "referenceLink": "https://www.ibm.com/support/pages/node/6552318",
  "serverity": "\u4e2d",
  "submitTime": "2022-02-08",
  "title": "IBM Security Verify Access\u672a\u6388\u6743\u8bbf\u95ee\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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