Vulnerability-Lookup

GHSA-WWVR-R64C-3GHH

Vulnerability from github – Published: 2022-03-11 00:02 – Updated: 2022-03-17 00:02

Details

A Cross-Site Scripting (XSS) attack can cause arbitrary code (JavaScript) to run in a user’s browser while the browser is connected to a trusted website. The attack targets your application's users and not the application itself while using your application as the attack's vehicle. The XSS payload executes whenever the user opens the login page of the WordPress application.

Severity

5.4 (Medium)


                  
                    CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N

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{
  "affected": [],
  "aliases": [
    "CVE-2021-33851"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-03-10T17:42:00Z",
    "severity": "MODERATE"
  },
  "details": "A Cross-Site Scripting (XSS) attack can cause arbitrary code (JavaScript) to run in a user\u2019s browser while the browser is connected to a trusted website. The attack targets your application\u0027s users and not the application itself while using your application as the attack\u0027s vehicle. The XSS payload executes whenever the user opens the login page of the WordPress application.",
  "id": "GHSA-wwvr-r64c-3ghh",
  "modified": "2022-03-17T00:02:00Z",
  "published": "2022-03-11T00:02:32Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-33851"
    },
    {
      "type": "WEB",
      "url": "https://cybersecurityworks.com/zerodays/cve-2021-33851-stored-cross-site-scripting-in-wordpress-customize-login-image.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2021-33851 (GCVE-0-2021-33851)

Vulnerability from cvelistv5 – Published: 2022-03-09 16:54 – Updated: 2024-08-04 00:05

Summary

A cross-site scripting (XSS) attack can cause arbitrary code (JavaScript) to run in a user's browser and can use an application as the vehicle for the attack. The XSS payload given in the "Custom logo link" executes whenever the user opens the Settings Page of the "Customize Login Image" Plugin.

Severity

No CVSS data available.

CWE

CWE-79

Assigner

CSW CNA under the mitre root

CNA scorecard – unranked: 0 records in the last 180 days, 10 needed details

References

1 reference

URL	Tags
https://cybersecurityworks.com/zerodays/cve-2021-…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
n/a	WordPress Customize Login Image Plugin	Affected: Version 3.4

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JSON

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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

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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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