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CNVD-2017-03079

Vulnerability from cnvd - Published: 2017-03-22
VLAI
Title
nefarious2身份认证漏洞
Description
nefarious2是一个用于Evilnet的IRC守护进程。 nefarious2中的ircd/m_authenticate.c文件的‘m_authenticate’函数存在安全漏洞。远程攻击者可借助特制的‘AUTHENTICATE’参数利用该漏洞伪造证书指纹,以其他用户身份登录。
Severity
Patch Name
nefarious2身份认证漏洞的补丁
Patch Description
nefarious2是一个用于Evilnet的IRC守护进程。 nefarious2中的ircd/m_authenticate.c文件的‘m_authenticate’函数存在安全漏洞。远程攻击者可借助特制的‘AUTHENTICATE’参数利用该漏洞伪造证书指纹,以其他用户身份登录。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

目前厂商已经发布了升级补丁以修复此安全问题,补丁获取链接: https://github.com/evilnet/nefarious2/commit/f50a84bad996d438e7b31b9e74c32a41e43f8be5

Reference
https://github.com/evilnet/nefarious2/commit/f50a84bad996d438e7b31b9e74c32a41e43f8be5 http://www.openwall.com/lists/oss-security/2016/09/05/9
Impacted products
Name
nefarious2 nefarious2 2.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-7145"
    }
  },
  "description": "nefarious2\u662f\u4e00\u4e2a\u7528\u4e8eEvilnet\u7684IRC\u5b88\u62a4\u8fdb\u7a0b\u3002\r\n\r\nnefarious2\u4e2d\u7684ircd/m_authenticate.c\u6587\u4ef6\u7684\u2018m_authenticate\u2019\u51fd\u6570\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684\u2018AUTHENTICATE\u2019\u53c2\u6570\u5229\u7528\u8be5\u6f0f\u6d1e\u4f2a\u9020\u8bc1\u4e66\u6307\u7eb9\uff0c\u4ee5\u5176\u4ed6\u7528\u6237\u8eab\u4efd\u767b\u5f55\u3002",
  "discovererName": "unknown",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://github.com/evilnet/nefarious2/commit/f50a84bad996d438e7b31b9e74c32a41e43f8be5",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-03079",
  "openTime": "2017-03-22",
  "patchDescription": "nefarious2\u662f\u4e00\u4e2a\u7528\u4e8eEvilnet\u7684IRC\u5b88\u62a4\u8fdb\u7a0b\u3002\r\n\r\nnefarious2\u4e2d\u7684ircd/m_authenticate.c\u6587\u4ef6\u7684\u2018m_authenticate\u2019\u51fd\u6570\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684\u2018AUTHENTICATE\u2019\u53c2\u6570\u5229\u7528\u8be5\u6f0f\u6d1e\u4f2a\u9020\u8bc1\u4e66\u6307\u7eb9\uff0c\u4ee5\u5176\u4ed6\u7528\u6237\u8eab\u4efd\u767b\u5f55\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": "nefarious2\u8eab\u4efd\u8ba4\u8bc1\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "nefarious2 nefarious2 2.0"
  },
  "referenceLink": "https://github.com/evilnet/nefarious2/commit/f50a84bad996d438e7b31b9e74c32a41e43f8be5\r\nhttp://www.openwall.com/lists/oss-security/2016/09/05/9",
  "serverity": "\u9ad8",
  "submitTime": "2017-03-09",
  "title": "nefarious2\u8eab\u4efd\u8ba4\u8bc1\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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