Vulnerability-Lookup

GHSA-4VR9-8JJ4-GFWV

Vulnerability from github – Published: 2026-03-21 06:30 – Updated: 2026-03-21 06:30

Details

The Performance Monitor plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 1.0.6. This is due to insufficient validation of the 'url' parameter in the '/wp-json/performance-monitor/v1/curl_data' REST API endpoint. This makes it possible for unauthenticated attackers to make web requests to arbitrary locations, including internal services, via the Gopher protocol and other dangerous protocols. This can be exploited to achieve Remote Code Execution by chaining with services like Redis.

Severity

7.2 (High)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2026-1648"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-03-21T04:16:54Z",
    "severity": "HIGH"
  },
  "details": "The Performance Monitor plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 1.0.6. This is due to insufficient validation of the \u0027url\u0027 parameter in the \u0027/wp-json/performance-monitor/v1/curl_data\u0027 REST API endpoint. This makes it possible for unauthenticated attackers to make web requests to arbitrary locations, including internal services, via the Gopher protocol and other dangerous protocols. This can be exploited to achieve Remote Code Execution by chaining with services like Redis.",
  "id": "GHSA-4vr9-8jj4-gfwv",
  "modified": "2026-03-21T06:30:24Z",
  "published": "2026-03-21T06:30:24Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-1648"
    },
    {
      "type": "WEB",
      "url": "https://github.com/assetnote/blind-ssrf-chains"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/browser/performance-monitor/tags/1.0.6/admin/class-curl.php#L50"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/browser/performance-monitor/tags/1.0.6/includes/class-rest-callback.php#L168"
    },
    {
      "type": "WEB",
      "url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/c8f42f17-bce2-421e-9031-bfa0f8c26b2a?source=cve"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2026-1648 (GCVE-0-2026-1648)

Vulnerability from cvelistv5 – Published: 2026-03-21 03:27 – Updated: 2026-04-08 17:21

Title

Performance Monitor <= 1.0.6 - Unauthenticated Server-Side Request Forgery via 'url' Parameter

Summary

Severity

7.2 (High)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-03-23 16:58 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/perfor…
https://plugins.trac.wordpress.org/browser/perfor…
https://github.com/assetnote/blind-ssrf-chains

Impacted products

1 product

Vendor	Product	Version
qrolic	Performance Monitor	Affected: 0 , ≤ 1.0.6 (semver)

Credits

Afshin Shekaari

Show details on NVD website

JSON

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                "id": "CVE-2026-1648",
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                    "Exploitation": "none"
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                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-03-23T16:58:57.358956Z",
                "version": "2.0.3"
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      "credits": [
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          "type": "finder",
          "value": "Afshin Shekaari"
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        {
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          "value": "The Performance Monitor plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 1.0.6. This is due to insufficient validation of the \u0027url\u0027 parameter in the \u0027/wp-json/performance-monitor/v1/curl_data\u0027 REST API endpoint. This makes it possible for unauthenticated attackers to make web requests to arbitrary locations, including internal services, via the Gopher protocol and other dangerous protocols. This can be exploited to achieve Remote Code Execution by chaining with services like Redis."
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          "url": "https://plugins.trac.wordpress.org/browser/performance-monitor/tags/1.0.6/includes/class-rest-callback.php#L168"
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          "url": "https://plugins.trac.wordpress.org/browser/performance-monitor/tags/1.0.6/admin/class-curl.php#L50"
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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.