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CNVD-2022-18210

Vulnerability from cnvd - Published: 2022-03-10
VLAI
Title
Oracle MySQL Cluster信息泄露漏洞(CNVD-2022-18210)
Description
MySQL Cluster是一个写可扩展、实时、兼容ACID的事务型数据库,旨在保证99.999%的可用性。 Oracle MySQL Cluster存在信息泄露漏洞,攻击者可利用该漏洞导致读取超出数组末尾。
Severity
Patch Name
Oracle MySQL Cluster信息泄露漏洞(CNVD-2022-18210)的补丁
Patch Description
MySQL Cluster是一个写可扩展、实时、兼容ACID的事务型数据库,旨在保证99.999%的可用性。 Oracle MySQL Cluster存在信息泄露漏洞,攻击者可利用该漏洞导致读取超出数组末尾。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.oracle.com/security-alerts/cpujan2022.html
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-2022-21319",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-21319"
    }
  },
  "description": "MySQL Cluster\u662f\u4e00\u4e2a\u5199\u53ef\u6269\u5c55\u3001\u5b9e\u65f6\u3001\u517c\u5bb9ACID\u7684\u4e8b\u52a1\u578b\u6570\u636e\u5e93\uff0c\u65e8\u5728\u4fdd\u8bc199.999\uff05\u7684\u53ef\u7528\u6027\u3002\n\nOracle MySQL Cluster\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u8bfb\u53d6\u8d85\u51fa\u6570\u7ec4\u672b\u5c3e\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-2022-18210",
  "openTime": "2022-03-10",
  "patchDescription": "MySQL Cluster\u662f\u4e00\u4e2a\u5199\u53ef\u6269\u5c55\u3001\u5b9e\u65f6\u3001\u517c\u5bb9ACID\u7684\u4e8b\u52a1\u578b\u6570\u636e\u5e93\uff0c\u65e8\u5728\u4fdd\u8bc199.999\uff05\u7684\u53ef\u7528\u6027\u3002\r\n\r\nOracle MySQL Cluster\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u8bfb\u53d6\u8d85\u51fa\u6570\u7ec4\u672b\u5c3e\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\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2022-18210\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.oracle.com/security-alerts/cpujan2022.html",
  "serverity": "\u4f4e",
  "submitTime": "2022-01-25",
  "title": "Oracle MySQL Cluster\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2022-18210\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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Detection rules are retrieved from Rulezet.

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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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