Vulnerability-Lookup

GHSA-JXPW-QH57-H233

Vulnerability from github – Published: 2023-08-16 06:30 – Updated: 2024-04-04 06:58

Details

The WP Remote Users Sync plugin for WordPress is vulnerable to Server Side Request Forgery via the 'notify_ping_remote' AJAX function in versions up to, and including, 1.2.12. This can allow authenticated attackers with subscriber-level permissions or above to make web requests to arbitrary locations originating from the web application and can be used to query and modify information from internal services. This was partially patched in version 1.2.12 and fully patched in version 1.2.13.

Severity

8.5 (High)


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

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JSON

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{
  "affected": [],
  "aliases": [
    "CVE-2023-3958"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-08-16T05:15:10Z",
    "severity": "MODERATE"
  },
  "details": "The WP Remote Users Sync plugin for WordPress is vulnerable to Server Side Request Forgery via the \u0027notify_ping_remote\u0027 AJAX function in versions up to, and including, 1.2.12. This can allow authenticated attackers with subscriber-level permissions or above to make web requests to arbitrary locations originating from the web application and can be used to query and modify information from internal services. This was partially patched in version 1.2.12 and fully patched in version 1.2.13.",
  "id": "GHSA-jxpw-qh57-h233",
  "modified": "2024-04-04T06:58:52Z",
  "published": "2023-08-16T06:30:26Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-3958"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/browser/wp-remote-users-sync/trunk/inc/api/class-wprus-api-abstract.php#L674"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/changeset/2946667/wp-remote-users-sync#file127"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/changeset/2953845/wp-remote-users-sync#file0"
    },
    {
      "type": "WEB",
      "url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/2e78c759-4a54-4ee4-8eff-df91fe9dad46?source=cve"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2023-3958 (GCVE-0-2023-3958)

Vulnerability from cvelistv5 – Published: 2023-08-16 04:36 – Updated: 2026-04-08 16:44

Title

WP Remote Users Sync <= 1.2.12 - Authenticated (Subscriber+) Server Side Request Forgery

Summary

Severity

8.5 (High)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-02-05 18:28 UTC

CWE

CWE-918 - Server-Side Request Forgery (SSRF)

Assigner

Wordfence mitre root

References

4 references

URL	Tags
https://www.wordfence.com/threat-intel/vulnerabil…
https://plugins.trac.wordpress.org/browser/wp-rem…
https://plugins.trac.wordpress.org/changeset/2946…
https://plugins.trac.wordpress.org/changeset/2953…

Impacted products

1 product

Vendor	Product	Version
frogerme	WP Remote Users Sync	Affected: 0 , ≤ 1.2.12 (semver)

Credits

István Márton

Show details on NVD website

JSON

To clipboard

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  "containers": {
    "adp": [
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        "providerMetadata": {
          "dateUpdated": "2024-08-02T07:08:50.691Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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        "references": [
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            "url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/2e78c759-4a54-4ee4-8eff-df91fe9dad46?source=cve"
          },
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            "tags": [
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            "url": "https://plugins.trac.wordpress.org/browser/wp-remote-users-sync/trunk/inc/api/class-wprus-api-abstract.php#L674"
          },
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              "content": {
                "id": "CVE-2023-3958",
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                    "Exploitation": "none"
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                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-02-05T18:28:44.733030Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
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        ],
        "providerMetadata": {
          "dateUpdated": "2025-02-05T19:35:54.745Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
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          "vendor": "frogerme",
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            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N",
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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.