CNVD-2022-55672

Vulnerability from cnvd - Published: 2022-08-08
VLAI
Title
JetBrains Ktor Native安全特征问题漏洞
Description
JetBrains Ktor Native是捷克JetBrains公司的一个用于创建微服务、Web应用程序等的异步框架。 JetBrains Ktor Native 2.0.0之前版本存在安全特征问题漏洞,该漏洞源于用于随机数生成的随机值未使用SecureRandom实现。目前没有详细漏洞细节提供。
Severity
中
Patch Name
JetBrains Ktor Native安全特征问题漏洞的补丁
Patch Description
JetBrains Ktor Native是捷克JetBrains公司的一个用于创建微服务、Web应用程序等的异步框架。 JetBrains Ktor Native 2.0.0之前版本存在安全特征问题漏洞,该漏洞源于用于随机数生成的随机值未使用SecureRandom实现。目前没有详细漏洞细节提供。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.jetbrains.com/privacy-security/issues-fixed/

Reference
https://www.jetbrains.com/privacy-security/issues-fixed/
Impacted products
Name
JetBrains JetBrains Ktor Native <2.0.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-29035",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-29035"
    }
  },
  "description": "JetBrains Ktor Native\u662f\u6377\u514bJetBrains\u516c\u53f8\u7684\u4e00\u4e2a\u7528\u4e8e\u521b\u5efa\u5fae\u670d\u52a1\u3001Web\u5e94\u7528\u7a0b\u5e8f\u7b49\u7684\u5f02\u6b65\u6846\u67b6\u3002\n\nJetBrains Ktor Native 2.0.0\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5b89\u5168\u7279\u5f81\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7528\u4e8e\u968f\u673a\u6570\u751f\u6210\u7684\u968f\u673a\u503c\u672a\u4f7f\u7528SecureRandom\u5b9e\u73b0\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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.jetbrains.com/privacy-security/issues-fixed/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-55672",
  "openTime": "2022-08-08",
  "patchDescription": "JetBrains Ktor Native\u662f\u6377\u514bJetBrains\u516c\u53f8\u7684\u4e00\u4e2a\u7528\u4e8e\u521b\u5efa\u5fae\u670d\u52a1\u3001Web\u5e94\u7528\u7a0b\u5e8f\u7b49\u7684\u5f02\u6b65\u6846\u67b6\u3002\r\n\r\nJetBrains Ktor Native 2.0.0\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5b89\u5168\u7279\u5f81\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7528\u4e8e\u968f\u673a\u6570\u751f\u6210\u7684\u968f\u673a\u503c\u672a\u4f7f\u7528SecureRandom\u5b9e\u73b0\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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": "JetBrains Ktor Native\u5b89\u5168\u7279\u5f81\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "JetBrains JetBrains Ktor Native \u003c2.0.0"
  },
  "referenceLink": "https://www.jetbrains.com/privacy-security/issues-fixed/",
  "serverity": "\u4e2d",
  "submitTime": "2022-05-10",
  "title": "JetBrains Ktor Native\u5b89\u5168\u7279\u5f81\u95ee\u9898\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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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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