Vulnerability-Lookup

CNVD-2019-27672

Vulnerability from cnvd - Published: 2019-08-15

Title

WordPress WPGraphQL访问控制错误漏洞

Description

WPGraphQL是一个免费的开源WordPress插件，为任何WordPress站点提供可扩展的GraphQL架构和API。 WordPress WPGraphQL存在访问控制错误漏洞，攻击者可利用该漏洞在任意文章上发表评论。

Severity

中

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://www.wpgraphql.com/

Reference

https://www.exploit-db.com/exploits/46886 https://nvd.nist.gov/vuln/detail/CVE-2019-9881

Impacted products

Name
WordPress WPGraphQL 0.2.3

Show details on source website

JSON

To clipboard

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-9881"
    }
  },
  "description": "WPGraphQL\u662f\u4e00\u4e2a\u514d\u8d39\u7684\u5f00\u6e90WordPress\u63d2\u4ef6\uff0c\u4e3a\u4efb\u4f55WordPress\u7ad9\u70b9\u63d0\u4f9b\u53ef\u6269\u5c55\u7684GraphQL\u67b6\u6784\u548cAPI\u3002\n\nWordPress WPGraphQL\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u4efb\u610f\u6587\u7ae0\u4e0a\u53d1\u8868\u8bc4\u8bba\u3002",
  "discovererName": "Simone Quatrini",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://www.wpgraphql.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-27672",
  "openTime": "2019-08-15",
  "products": {
    "product": "WordPress WPGraphQL 0.2.3"
  },
  "referenceLink": "https://www.exploit-db.com/exploits/46886 https://nvd.nist.gov/vuln/detail/CVE-2019-9881",
  "serverity": "\u4e2d",
  "submitTime": "2019-05-22",
  "title": "WordPress WPGraphQL\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e"
}

CVE-2019-9881 (GCVE-0-2019-9881)

Vulnerability from cvelistv5 – Published: 2019-06-10 17:37 – Updated: 2024-08-04 22:01

Summary

The createComment mutation in the WPGraphQL 0.2.3 plugin for WordPress allows unauthenticated users to post comments on any article, even when 'allow comment' is disabled.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2350 records in the last 180 days details

References

5 references

URL	Tags
https://wpvulndb.com/vulnerabilities/9282	x_refsource_MISC
http://packetstormsecurity.com/files/153025/WordP…	x_refsource_MISC
https://www.pentestpartners.com/security-blog/pwn…	x_refsource_MISC
https://github.com/pentestpartners/snippets/blob/…	x_refsource_MISC
https://github.com/wp-graphql/wp-graphql/releases…	x_refsource_CONFIRM

Date Public

2019-05-08 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.

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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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