CNVD-2021-42142

Vulnerability from cnvd - Published: 2021-06-13
VLAI
Title
MongoDB输入验证错误漏洞
Description
Mongodb Server是美国Mongodb公司的一套开源的NoSQL数据库。该数据库提供面向集合的存储、动态查询、数据复制及自动故障转移等功能。 MongoDB mongo-go-driver中存在输入验证错误漏洞,该漏洞源于在go对象编码成Json时,驱动程序无法对输入数据进行完全的安全验证。攻击者可通过带有特定字符串的Go对象项编组的文档中注入额外的字段。
Severity
Patch Name
MongoDB输入验证错误漏洞的补丁
Patch Description
Mongodb Server是美国Mongodb公司的一套开源的NoSQL数据库。该数据库提供面向集合的存储、动态查询、数据复制及自动故障转移等功能。 MongoDB mongo-go-driver中存在输入验证错误漏洞,该漏洞源于在go对象编码成Json时,驱动程序无法对输入数据进行完全的安全验证。攻击者可通过带有特定字符串的Go对象项编组的文档中注入额外的字段。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://github.com/mongodb/mongo-go-driver/releases/tag/v1.5.1

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-20329
Impacted products
Name
MongoDB mongo-go-driver <1.5.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-20329"
    }
  },
  "description": "Mongodb Server\u662f\u7f8e\u56fdMongodb\u516c\u53f8\u7684\u4e00\u5957\u5f00\u6e90\u7684NoSQL\u6570\u636e\u5e93\u3002\u8be5\u6570\u636e\u5e93\u63d0\u4f9b\u9762\u5411\u96c6\u5408\u7684\u5b58\u50a8\u3001\u52a8\u6001\u67e5\u8be2\u3001\u6570\u636e\u590d\u5236\u53ca\u81ea\u52a8\u6545\u969c\u8f6c\u79fb\u7b49\u529f\u80fd\u3002\n\nMongoDB mongo-go-driver\u4e2d\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728go\u5bf9\u8c61\u7f16\u7801\u6210Json\u65f6\uff0c\u9a71\u52a8\u7a0b\u5e8f\u65e0\u6cd5\u5bf9\u8f93\u5165\u6570\u636e\u8fdb\u884c\u5b8c\u5168\u7684\u5b89\u5168\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5e26\u6709\u7279\u5b9a\u5b57\u7b26\u4e32\u7684Go\u5bf9\u8c61\u9879\u7f16\u7ec4\u7684\u6587\u6863\u4e2d\u6ce8\u5165\u989d\u5916\u7684\u5b57\u6bb5\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://github.com/mongodb/mongo-go-driver/releases/tag/v1.5.1",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-42142",
  "openTime": "2021-06-13",
  "patchDescription": "Mongodb Server\u662f\u7f8e\u56fdMongodb\u516c\u53f8\u7684\u4e00\u5957\u5f00\u6e90\u7684NoSQL\u6570\u636e\u5e93\u3002\u8be5\u6570\u636e\u5e93\u63d0\u4f9b\u9762\u5411\u96c6\u5408\u7684\u5b58\u50a8\u3001\u52a8\u6001\u67e5\u8be2\u3001\u6570\u636e\u590d\u5236\u53ca\u81ea\u52a8\u6545\u969c\u8f6c\u79fb\u7b49\u529f\u80fd\u3002\r\n\r\nMongoDB mongo-go-driver\u4e2d\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728go\u5bf9\u8c61\u7f16\u7801\u6210Json\u65f6\uff0c\u9a71\u52a8\u7a0b\u5e8f\u65e0\u6cd5\u5bf9\u8f93\u5165\u6570\u636e\u8fdb\u884c\u5b8c\u5168\u7684\u5b89\u5168\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5e26\u6709\u7279\u5b9a\u5b57\u7b26\u4e32\u7684Go\u5bf9\u8c61\u9879\u7f16\u7ec4\u7684\u6587\u6863\u4e2d\u6ce8\u5165\u989d\u5916\u7684\u5b57\u6bb5\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": "MongoDB\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "MongoDB mongo-go-driver \u003c1.5.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-20329",
  "serverity": "\u4e2d",
  "submitTime": "2021-06-12",
  "title": "MongoDB\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\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

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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  • 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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