CNVD-2022-18214

Vulnerability from cnvd - Published: 2022-03-10
VLAI
Title
Oracle MySQL Cluster缓冲区溢出漏洞(CNVD-2022-18214)
Description
MySQL Cluster是美国甲骨文(Oracle)公司的 MySQL 的适合于分布式计算环境的高实用、高冗余版本。 Oracle MySQL Cluster存在缓冲区溢出漏洞,攻击者可利用该漏洞在服务帐户的上下文中执行代码。
Severity
中
Patch Name
Oracle MySQL Cluster缓冲区溢出漏洞(CNVD-2022-18214)的补丁
Patch Description
MySQL Cluster是美国甲骨文(Oracle)公司的 MySQL 的适合于分布式计算环境的高实用、高冗余版本。 Oracle MySQL Cluster存在缓冲区溢出漏洞,攻击者可利用该漏洞在服务帐户的上下文中执行代码。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.oracle.com/security-alerts/cpujan2022.html

Reference
https://www.cybersecurity-help.cz/vdb/SB2022011902
Impacted products
Name
['Oracle MySQL Cluster <=7.4.34', 'Oracle MySQL Cluster <=7.5.24', 'Oracle MySQL Cluster <=7.6.20', 'Oracle MySQL Cluster <=8.0.27']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-21337",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-21337"
    }
  },
  "description": "MySQL Cluster\u662f\u7f8e\u56fd\u7532\u9aa8\u6587\uff08Oracle\uff09\u516c\u53f8\u7684 MySQL \u7684\u9002\u5408\u4e8e\u5206\u5e03\u5f0f\u8ba1\u7b97\u73af\u5883\u7684\u9ad8\u5b9e\u7528\u3001\u9ad8\u5197\u4f59\u7248\u672c\u3002\n\nOracle MySQL Cluster\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u670d\u52a1\u5e10\u6237\u7684\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4ee3\u7801\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.oracle.com/security-alerts/cpujan2022.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-18214",
  "openTime": "2022-03-10",
  "patchDescription": "MySQL Cluster\u662f\u7f8e\u56fd\u7532\u9aa8\u6587\uff08Oracle\uff09\u516c\u53f8\u7684 MySQL \u7684\u9002\u5408\u4e8e\u5206\u5e03\u5f0f\u8ba1\u7b97\u73af\u5883\u7684\u9ad8\u5b9e\u7528\u3001\u9ad8\u5197\u4f59\u7248\u672c\u3002\r\n\r\nOracle MySQL Cluster\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u670d\u52a1\u5e10\u6237\u7684\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4ee3\u7801\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": "Oracle MySQL Cluster\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2022-18214\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Oracle MySQL Cluster \u003c=7.4.34",
      "Oracle MySQL Cluster \u003c=7.5.24",
      "Oracle MySQL Cluster \u003c=7.6.20",
      "Oracle MySQL Cluster \u003c=8.0.27"
    ]
  },
  "referenceLink": "https://www.cybersecurity-help.cz/vdb/SB2022011902",
  "serverity": "\u4e2d",
  "submitTime": "2022-01-21",
  "title": "Oracle MySQL Cluster\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2022-18214\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

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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