Vulnerability-Lookup

GSD-2023-2079

Vulnerability from gsd - Updated: 2023-12-13 01:20

Details

The "Buy Me a Coffee – Button and Widget Plugin" plugin for WordPress is vulnerable to Cross-Site Request Forgery due to missing nonce validation on the recieve_post, bmc_disconnect, name_post, and widget_post functions in versions up to, and including, 3.7. This makes it possible for unauthenticated attackers to update the plugins settings, via a forged request granted the attacker can trick a site's administrator into performing an action such as clicking on a link.

Aliases

CVE-2023-2079

Aliases

CVE-2023-2079

JSON

To clipboard

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    "id": "GSD-2023-2079"
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      "lastModifiedDate": "2023-07-18T18:56Z",
      "publishedDate": "2023-07-11T03:15Z"
    }
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}

CVE-2023-2079 (GCVE-0-2023-2079)

Vulnerability from cvelistv5 – Published: 2023-07-11 02:03 – Updated: 2026-04-08 16:57

Title

Buy Me a Coffee – Button and Widget Plugin <= 3.7 - Cross-Site Request Forgery

Summary

Severity

7.1 (High)


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

SSVC

Exploitation: poc Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-11-08 14:59 UTC

CWE

CWE-352 - Cross-Site Request Forgery (CSRF)

Assigner

Wordfence mitre root

References

4 references

URL	Tags
https://www.wordfence.com/threat-intel/vulnerabil…
https://plugins.trac.wordpress.org/browser/buymea…
https://plugins.trac.wordpress.org/browser/buymea…
https://plugins.trac.wordpress.org/changeset?sfp_…

Impacted products

1 product

Vendor	Product	Version
buymeacoffee	Buy Me a Coffee – Button and Widget Plugin	Affected: 0 , ≤ 3.7 (semver)

Credits

István Márton

Show details on NVD website

JSON

To clipboard

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            "url": "https://plugins.trac.wordpress.org/browser/buymeacoffee/trunk/includes/class-buy-me-a-coffee.php?rev=2319979#L162"
          },
          {
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            "url": "https://plugins.trac.wordpress.org/browser/buymeacoffee/trunk/admin/class-buy-me-a-coffee-admin.php?rev=2816542"
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          {
            "tags": [
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            "url": "https://plugins.trac.wordpress.org/changeset?sfp_email=\u0026sfph_mail=\u0026reponame=\u0026old=2935565%40buymeacoffee\u0026new=2935565%40buymeacoffee\u0026sfp_email=\u0026sfph_mail="
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        "title": "CVE Program Container"
      },
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                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2024-11-08T14:59:37.167438Z",
                "version": "2.0.3"
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      "credits": [
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          "type": "finder",
          "value": "Istv\u00e1n M\u00e1rton"
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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.

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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GSD-2023-2079

CVE-2023-2079 (GCVE-0-2023-2079)

Tags

Sightings

Nomenclature

Related by attack behaviour