GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CNVD-2018-08486

Vulnerability from cnvd - Published: 2018-04-26
VLAI
Title
Ruby安全绕过漏洞(CNVD-2018-08486)
Description
Ruby是一种简单快捷的面向对象(面向对象程序设计)脚本语言。 Ruby存在安全绕过漏洞,攻击者可以利用此漏洞绕过某些安全限制并执行未经授权的操作。
Severity
Patch Name
Ruby安全绕过漏洞(CNVD-2018-08486)的补丁
Patch Description
Ruby是一种简单快捷的面向对象(面向对象程序设计)脚本语言。 Ruby存在安全绕过漏洞,攻击者可以利用此漏洞绕过某些安全限制并执行未经授权的操作。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

厂商已发布漏洞修复程序,请及时关注更新: https://www.ruby-lang.org/en/news/2018/03/28/ruby-2-2-10-released/

Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-8779
Impacted products
Name
['Ruby Ruby <2.2.10', 'Ruby Ruby 2.3.x (<2.3.7)', 'Ruby Ruby 2.4.x (<2.4.4)', 'Ruby Ruby 2.5.x (<2.5.1)', 'Ruby Ruby 2.6.0-preview1']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-8779"
    }
  },
  "description": "Ruby\u662f\u4e00\u79cd\u7b80\u5355\u5feb\u6377\u7684\u9762\u5411\u5bf9\u8c61\uff08\u9762\u5411\u5bf9\u8c61\u7a0b\u5e8f\u8bbe\u8ba1\uff09\u811a\u672c\u8bed\u8a00\u3002\r\n\r\nRuby\u5b58\u5728\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u6b64\u6f0f\u6d1e\u7ed5\u8fc7\u67d0\u4e9b\u5b89\u5168\u9650\u5236\u5e76\u6267\u884c\u672a\u7ecf\u6388\u6743\u7684\u64cd\u4f5c\u3002",
  "discovererName": "ooooooo_q",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://www.ruby-lang.org/en/news/2018/03/28/ruby-2-2-10-released/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-08486",
  "openTime": "2018-04-26",
  "patchDescription": "Ruby\u662f\u4e00\u79cd\u7b80\u5355\u5feb\u6377\u7684\u9762\u5411\u5bf9\u8c61\uff08\u9762\u5411\u5bf9\u8c61\u7a0b\u5e8f\u8bbe\u8ba1\uff09\u811a\u672c\u8bed\u8a00\u3002\r\n\r\nRuby\u5b58\u5728\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u6b64\u6f0f\u6d1e\u7ed5\u8fc7\u67d0\u4e9b\u5b89\u5168\u9650\u5236\u5e76\u6267\u884c\u672a\u7ecf\u6388\u6743\u7684\u64cd\u4f5c\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": "Ruby\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\uff08CNVD-2018-08486\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Ruby Ruby \u003c2.2.10",
      "Ruby Ruby 2.3.x (\u003c2.3.7)",
      "Ruby Ruby 2.4.x (\u003c2.4.4)",
      "Ruby Ruby 2.5.x (\u003c2.5.1)",
      "Ruby Ruby 2.6.0-preview1"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-8779",
  "serverity": "\u4e2d",
  "submitTime": "2018-04-04",
  "title": "Ruby\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\uff08CNVD-2018-08486\uff09"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…