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CNVD-2018-21199

Vulnerability from cnvd - Published: 2018-10-18
VLAI
Title
Libssh服务器端身份验证绕过漏洞
Description
libssh是一个C函数库,用来实现SSH2协议。 Libssh服务器端存在身份验证绕过漏洞,通过向服务器提供SSH2_MSG_USERAUTH_SUCCESS消息来代替服务器正常启动身份验证的SSH2_MSG_USERAUTH_REQUEST消息,攻击者可以在没有任何凭据的情况下成功进行身份验证。
Severity
Patch Name
Libssh服务器端身份验证绕过漏洞的补丁
Patch Description
libssh是一个C函数库,用来实现SSH2协议。 Libssh服务器端存在身份验证绕过漏洞,通过向服务器提供SSH2_MSG_USERAUTH_SUCCESS消息来代替服务器正常启动身份验证的SSH2_MSG_USERAUTH_REQUEST消息,攻击者可以在没有任何凭据的情况下成功进行身份验证。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

用户可联系供应商获得补丁信息: https://www.libssh.org/2018/10/16/libssh-0-8-4-and-0-7-6-security-and-bugfix-release/

Reference
https://www.libssh.org/2018/10/16/libssh-0-8-4-and-0-7-6-security-and-bugfix-release/
Impacted products
Name
['libssh libssh >=0.6', 'libssh libssh <0.8.4', 'libssh libssh <0.7.6']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-10933"
    }
  },
  "description": "libssh\u662f\u4e00\u4e2aC\u51fd\u6570\u5e93\uff0c\u7528\u6765\u5b9e\u73b0SSH2\u534f\u8bae\u3002\r\n\r\nLibssh\u670d\u52a1\u5668\u7aef\u5b58\u5728\u8eab\u4efd\u9a8c\u8bc1\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u901a\u8fc7\u5411\u670d\u52a1\u5668\u63d0\u4f9bSSH2_MSG_USERAUTH_SUCCESS\u6d88\u606f\u6765\u4ee3\u66ff\u670d\u52a1\u5668\u6b63\u5e38\u542f\u52a8\u8eab\u4efd\u9a8c\u8bc1\u7684SSH2_MSG_USERAUTH_REQUEST\u6d88\u606f\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5728\u6ca1\u6709\u4efb\u4f55\u51ed\u636e\u7684\u60c5\u51b5\u4e0b\u6210\u529f\u8fdb\u884c\u8eab\u4efd\u9a8c\u8bc1\u3002",
  "discovererName": "unknown",
  "formalWay": "\u7528\u6237\u53ef\u8054\u7cfb\u4f9b\u5e94\u5546\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a\r\nhttps://www.libssh.org/2018/10/16/libssh-0-8-4-and-0-7-6-security-and-bugfix-release/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-21199",
  "openTime": "2018-10-18",
  "patchDescription": "libssh\u662f\u4e00\u4e2aC\u51fd\u6570\u5e93\uff0c\u7528\u6765\u5b9e\u73b0SSH2\u534f\u8bae\u3002\r\n\r\nLibssh\u670d\u52a1\u5668\u7aef\u5b58\u5728\u8eab\u4efd\u9a8c\u8bc1\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u901a\u8fc7\u5411\u670d\u52a1\u5668\u63d0\u4f9bSSH2_MSG_USERAUTH_SUCCESS\u6d88\u606f\u6765\u4ee3\u66ff\u670d\u52a1\u5668\u6b63\u5e38\u542f\u52a8\u8eab\u4efd\u9a8c\u8bc1\u7684SSH2_MSG_USERAUTH_REQUEST\u6d88\u606f\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5728\u6ca1\u6709\u4efb\u4f55\u51ed\u636e\u7684\u60c5\u51b5\u4e0b\u6210\u529f\u8fdb\u884c\u8eab\u4efd\u9a8c\u8bc1\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": "Libssh\u670d\u52a1\u5668\u7aef\u8eab\u4efd\u9a8c\u8bc1\u7ed5\u8fc7\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "libssh libssh \u003e=0.6",
      "libssh libssh \u003c0.8.4",
      "libssh libssh \u003c0.7.6"
    ]
  },
  "referenceLink": "https://www.libssh.org/2018/10/16/libssh-0-8-4-and-0-7-6-security-and-bugfix-release/",
  "serverity": "\u9ad8",
  "submitTime": "2018-10-18",
  "title": "Libssh\u670d\u52a1\u5668\u7aef\u8eab\u4efd\u9a8c\u8bc1\u7ed5\u8fc7\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.
  • 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.
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  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
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  • 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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