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

CNVD-2020-29879

Vulnerability from cnvd - Published: 2020-05-26
VLAI
Title
Sensio Labs Symfony存在未明漏洞(CNVD-2020-29879)
Description
Sensio Labs Symfony是法国Sensio Labs公司的一套免费的、基于MVC架构的PHP开发框架。该框架提供常用的功能组件及工具,可用于快速创建复杂的WEB程序。 Sensio Labs Symfony 5.0.5之前版本和4.4.5之前版本中存在未明漏洞。目前没有详细的漏洞细节提供。
Severity
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/symfony/symfony/security/advisories/GHSA-m884-279h-32v2

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-5274
Impacted products
Name
['Sensio Labs Symfony <5.0.5', 'Sensio Labs Symfony <4.4.5']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-5274"
    }
  },
  "description": "Sensio Labs Symfony\u662f\u6cd5\u56fdSensio Labs\u516c\u53f8\u7684\u4e00\u5957\u514d\u8d39\u7684\u3001\u57fa\u4e8eMVC\u67b6\u6784\u7684PHP\u5f00\u53d1\u6846\u67b6\u3002\u8be5\u6846\u67b6\u63d0\u4f9b\u5e38\u7528\u7684\u529f\u80fd\u7ec4\u4ef6\u53ca\u5de5\u5177\uff0c\u53ef\u7528\u4e8e\u5feb\u901f\u521b\u5efa\u590d\u6742\u7684WEB\u7a0b\u5e8f\u3002\n\nSensio Labs Symfony 5.0.5\u4e4b\u524d\u7248\u672c\u548c4.4.5\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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/symfony/symfony/security/advisories/GHSA-m884-279h-32v2",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-29879",
  "openTime": "2020-05-26",
  "products": {
    "product": [
      "Sensio Labs Symfony \u003c5.0.5",
      "Sensio Labs Symfony \u003c4.4.5"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-5274",
  "serverity": "\u4e2d",
  "submitTime": "2020-03-31",
  "title": "Sensio Labs Symfony\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2020-29879\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…