CNVD-2020-32639

Vulnerability from cnvd - Published: 2020-06-12
VLAI
Title
IBM MobileFirst Foundation授权问题漏洞
Description
IBM MobileFirst Foundation是美国IBM公司的一套用于构建和部署下一代数字应用程序的平台。 IBM MobileFirst Foundation存在授权问题漏洞,该漏洞源于用户退出会话后,程序未正确使会话cookie失效。攻击者可利用该漏洞未授权访问会话。
Severity
Patch Name
IBM MobileFirst Foundation授权问题漏洞的补丁
Patch Description
IBM MobileFirst Foundation是美国IBM公司的一套用于构建和部署下一代数字应用程序的平台。 IBM MobileFirst Foundation存在授权问题漏洞,该漏洞源于用户退出会话后,程序未正确使会话cookie失效。攻击者可利用该漏洞未授权访问会话。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/6220230

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-4229
Impacted products
Name
IBM MobileFirst Foundation 8.0.0.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-4229"
    }
  },
  "description": "IBM MobileFirst Foundation\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u5957\u7528\u4e8e\u6784\u5efa\u548c\u90e8\u7f72\u4e0b\u4e00\u4ee3\u6570\u5b57\u5e94\u7528\u7a0b\u5e8f\u7684\u5e73\u53f0\u3002\n\nIBM MobileFirst Foundation\u5b58\u5728\u6388\u6743\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7528\u6237\u9000\u51fa\u4f1a\u8bdd\u540e\uff0c\u7a0b\u5e8f\u672a\u6b63\u786e\u4f7f\u4f1a\u8bddcookie\u5931\u6548\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u672a\u6388\u6743\u8bbf\u95ee\u4f1a\u8bdd\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/6220230",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-32639",
  "openTime": "2020-06-12",
  "patchDescription": "IBM MobileFirst Foundation\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u5957\u7528\u4e8e\u6784\u5efa\u548c\u90e8\u7f72\u4e0b\u4e00\u4ee3\u6570\u5b57\u5e94\u7528\u7a0b\u5e8f\u7684\u5e73\u53f0\u3002\r\n\r\nIBM MobileFirst Foundation\u5b58\u5728\u6388\u6743\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7528\u6237\u9000\u51fa\u4f1a\u8bdd\u540e\uff0c\u7a0b\u5e8f\u672a\u6b63\u786e\u4f7f\u4f1a\u8bddcookie\u5931\u6548\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u672a\u6388\u6743\u8bbf\u95ee\u4f1a\u8bdd\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 MobileFirst Foundation\u6388\u6743\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "IBM MobileFirst Foundation 8.0.0.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-4229",
  "serverity": "\u9ad8",
  "submitTime": "2020-06-08",
  "title": "IBM MobileFirst Foundation\u6388\u6743\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…

Detection rules are retrieved from Rulezet.

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…