CNVD-2021-29746

Vulnerability from cnvd - Published: 2021-04-20
VLAI
Title
Apache Ignite H2文件访问漏洞
Description
Apache Ignite是美国阿帕奇(Apache)软件基金会的一套高性能、集成化和分布式的用于大规模的数据集处理的内存计算和事务管理平台。 Apache Ignite中存在安全漏洞。攻击者可借助H2所提供的SQL功能利用该漏洞访问文件系统。
Severity
Patch Name
Apache Ignite H2文件访问漏洞的补丁
Patch Description
Apache Ignite是美国阿帕奇(Apache)软件基金会的一套高性能、集成化和分布式的用于大规模的数据集处理的内存计算和事务管理平台。 Apache Ignite中存在安全漏洞。攻击者可借助H2所提供的SQL功能利用该漏洞访问文件系统。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://lists.apache.org/thread.html/r1933faf8a26c431f38a5f8dbbfab80254454e54e33a79be474b67dc4%40%3Cdev.ignite.apache.org%3E

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-1963
Impacted products
Name
Apache Ignite <=2.8.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-1963"
    }
  },
  "description": "Apache Ignite\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u7684\u4e00\u5957\u9ad8\u6027\u80fd\u3001\u96c6\u6210\u5316\u548c\u5206\u5e03\u5f0f\u7684\u7528\u4e8e\u5927\u89c4\u6a21\u7684\u6570\u636e\u96c6\u5904\u7406\u7684\u5185\u5b58\u8ba1\u7b97\u548c\u4e8b\u52a1\u7ba1\u7406\u5e73\u53f0\u3002\n\nApache Ignite\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9H2\u6240\u63d0\u4f9b\u7684SQL\u529f\u80fd\u5229\u7528\u8be5\u6f0f\u6d1e\u8bbf\u95ee\u6587\u4ef6\u7cfb\u7edf\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\uff1a\r\nhttps://lists.apache.org/thread.html/r1933faf8a26c431f38a5f8dbbfab80254454e54e33a79be474b67dc4%40%3Cdev.ignite.apache.org%3E",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-29746",
  "openTime": "2021-04-20",
  "patchDescription": "Apache Ignite\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u7684\u4e00\u5957\u9ad8\u6027\u80fd\u3001\u96c6\u6210\u5316\u548c\u5206\u5e03\u5f0f\u7684\u7528\u4e8e\u5927\u89c4\u6a21\u7684\u6570\u636e\u96c6\u5904\u7406\u7684\u5185\u5b58\u8ba1\u7b97\u548c\u4e8b\u52a1\u7ba1\u7406\u5e73\u53f0\u3002\r\n\r\nApache Ignite\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9H2\u6240\u63d0\u4f9b\u7684SQL\u529f\u80fd\u5229\u7528\u8be5\u6f0f\u6d1e\u8bbf\u95ee\u6587\u4ef6\u7cfb\u7edf\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": "Apache Ignite H2\u6587\u4ef6\u8bbf\u95ee\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apache Ignite \u003c=2.8.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-1963",
  "serverity": "\u4e2d",
  "submitTime": "2020-06-04",
  "title": "Apache Ignite H2\u6587\u4ef6\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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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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