Vulnerability-Lookup

CNVD-2017-02433

Vulnerability from cnvd - Published: 2017-03-06

Title

Ping Identity 'mod_auth_openidc'模块认证绕过漏洞

Description

云安全服务公司Ping Identity为客户提供企业身份安全服务。 Ping Identity 'mod_auth_openidc'存在认证绕过漏洞。攻击者利用该漏洞绕过认证机制执行未授权操作并发动进一步的攻击。

Severity

中

Patch Name

Ping Identity 'mod_auth_openidc'模块认证绕过漏洞的补丁

Patch Description

云安全服务公司Ping Identity为客户提供企业身份安全服务。 Ping Identity 'mod_auth_openidc'存在认证绕过漏洞。攻击者利用该漏洞绕过认证机制执行未授权操作并发动进一步的攻击。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

厂商已发布了漏洞修复程序，请及时关注更新： https://github.com/pingidentity/mod_auth_openidc/releases/tag/v2.1.5

Reference

http://www.securityfocus.com/bid/96301

Impacted products

Name
['Ping Identity Corporation mod_auth_openidc 2.1.4', 'Ping Identity Corporation mod_auth_openidc 2.1.3', 'Ping Identity Corporation mod_auth_openidc 2.1.1', 'Ping Identity Corporation mod_auth_openidc 2.1', 'Ping Identity Corporation mod_auth_openidc 2.0', 'Ping Identity Corporation mod_auth_openidc 1.5', 'Ping Identity Corporation mod_auth_openidc 1.0.1']

Show details on source website

JSON

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{
  "bids": {
    "bid": {
      "bidNumber": "96301"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-6062",
      "cveUrl": "https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-6062"
    }
  },
  "description": "\u4e91\u5b89\u5168\u670d\u52a1\u516c\u53f8Ping Identity\u4e3a\u5ba2\u6237\u63d0\u4f9b\u4f01\u4e1a\u8eab\u4efd\u5b89\u5168\u670d\u52a1\u3002\r\n\r\nPing Identity \u0027mod_auth_openidc\u0027\u5b58\u5728\u8ba4\u8bc1\u7ed5\u8fc7\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7\u8ba4\u8bc1\u673a\u5236\u6267\u884c\u672a\u6388\u6743\u64cd\u4f5c\u5e76\u53d1\u52a8\u8fdb\u4e00\u6b65\u7684\u653b\u51fb\u3002",
  "discovererName": "wouterhund",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/pingidentity/mod_auth_openidc/releases/tag/v2.1.5",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-02433",
  "openTime": "2017-03-06",
  "patchDescription": "\u4e91\u5b89\u5168\u670d\u52a1\u516c\u53f8Ping Identity\u4e3a\u5ba2\u6237\u63d0\u4f9b\u4f01\u4e1a\u8eab\u4efd\u5b89\u5168\u670d\u52a1\u3002\r\n\r\nPing Identity \u0027mod_auth_openidc\u0027\u5b58\u5728\u8ba4\u8bc1\u7ed5\u8fc7\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7\u8ba4\u8bc1\u673a\u5236\u6267\u884c\u672a\u6388\u6743\u64cd\u4f5c\u5e76\u53d1\u52a8\u8fdb\u4e00\u6b65\u7684\u653b\u51fb\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": "Ping Identity \u0027mod_auth_openidc\u0027\u6a21\u5757\u8ba4\u8bc1\u7ed5\u8fc7\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Ping Identity Corporation mod_auth_openidc 2.1.4",
      "Ping Identity Corporation mod_auth_openidc 2.1.3",
      "Ping Identity Corporation mod_auth_openidc 2.1.1",
      "Ping Identity Corporation mod_auth_openidc  2.1",
      "Ping Identity Corporation mod_auth_openidc  2.0",
      "Ping Identity Corporation mod_auth_openidc  1.5",
      "Ping Identity Corporation mod_auth_openidc  1.0.1"
    ]
  },
  "referenceLink": "http://www.securityfocus.com/bid/96301",
  "serverity": "\u4e2d",
  "submitTime": "2017-02-24",
  "title": "Ping Identity \u0027mod_auth_openidc\u0027\u6a21\u5757\u8ba4\u8bc1\u7ed5\u8fc7\u6f0f\u6d1e"
}

CVE-2017-6062 (GCVE-0-2017-6062)

Vulnerability from cvelistv5 – Published: 2017-03-02 06:00 – Updated: 2024-08-05 15:18

Summary

The "OpenID Connect Relying Party and OAuth 2.0 Resource Server" (aka mod_auth_openidc) module before 2.1.5 for the Apache HTTP Server does not skip OIDC_CLAIM_ and OIDCAuthNHeader headers in an "OIDCUnAuthAction pass" configuration, which allows remote attackers to bypass authentication via crafted HTTP traffic.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

6 references

URL	Tags
https://github.com/pingidentity/mod_auth_openidc/…	x_refsource_CONFIRM
https://github.com/pingidentity/mod_auth_openidc/…	x_refsource_CONFIRM
https://github.com/pingidentity/mod_auth_openidc/…	x_refsource_CONFIRM
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA

Date Public

2017-03-01 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.

Detection rules are retrieved from Rulezet.

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.