Vulnerability-Lookup

CNVD-2018-14345

Vulnerability from cnvd - Published: 2018-08-01

Title

Symfony认证绕过漏洞

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，它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。Ldap component是其中的一个轻量级目录访问协议组件。 Sensio Labs Symfony中的Ldap组件存在安全漏洞。远程攻击者可借助有效的用户名和空密码进行登录利用该漏洞绕过身份验证。

Severity

高

Patch Name

Symfony认证绕过漏洞的补丁

Patch Description

Formal description

厂商已发布漏洞修复程序，请及时关注更新： https://symfony.com/blog/cve-2018-11407-unauthorized-access-on-a-misconfigured-ldap-server-when-using-an-empty-password

Reference

https://symfony.com/blog/cve-2018-11407-unauthorized-access-on-a-misconfigured-ldap-server-when-using-an-empty-password

Impacted products

Name
['Sensio Labs Symfony 3.3.，<3.3.17', 'Sensio Labs Symfony 2.8.，<2.8.37', 'Sensio Labs Symfony 3.4.，<3.4.7', 'Sensio Labs Symfony 4.0.，<4.0.7']

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2018-11407"
    }
  },
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  "discovererName": "Th\u00e9o Boug\u00e9",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-14345",
  "openTime": "2018-08-01",
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  "products": {
    "product": [
      "Sensio Labs Symfony 3.3.*\uff0c\u003c3.3.17",
      "Sensio Labs Symfony 2.8.*\uff0c\u003c2.8.37",
      "Sensio Labs Symfony 3.4.*\uff0c\u003c3.4.7",
      "Sensio Labs Symfony 4.0.*\uff0c\u003c4.0.7"
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  },
  "referenceLink": "https://symfony.com/blog/cve-2018-11407-unauthorized-access-on-a-misconfigured-ldap-server-when-using-an-empty-password",
  "serverity": "\u9ad8",
  "submitTime": "2018-06-14",
  "title": "Symfony\u8ba4\u8bc1\u7ed5\u8fc7\u6f0f\u6d1e"
}

CVE-2018-11407 (GCVE-0-2018-11407)

Vulnerability from cvelistv5 – Published: 2018-06-13 16:00 – Updated: 2024-08-05 08:10

Summary

An issue was discovered in the Ldap component in Symfony 2.8.x before 2.8.37, 3.3.x before 3.3.17, 3.4.x before 3.4.7, and 4.0.x before 4.0.7. It allows remote attackers to bypass authentication by logging in with a "null" password and valid username, which triggers an unauthenticated bind. NOTE: this issue exists because of an incomplete fix for CVE-2016-2403.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2316 records in the last 180 days details

References

1 reference

URL	Tags
https://symfony.com/blog/cve-2018-11407-unauthori…	x_refsource_CONFIRM

Date Public

2018-05-25 00:00

Show details on NVD website

JSON

To clipboard

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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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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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