GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

GHSA-HG2R-RG5C-CGFV

Vulnerability from github – Published: 2025-06-14 09:32 – Updated: 2025-06-14 09:32
VLAI
Details

The AI Image Lab – Free AI Image Generator plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to, and including, 1.0.6. This is due to missing or incorrect nonce validation on the 'wpz-ai-images' page. This makes it possible for unauthenticated attackers to update the plugin's API key via a forged request granted they can trick a site administrator into performing an action such as clicking on a link.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-4592"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-352"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-06-14T09:15:23Z",
    "severity": "MODERATE"
  },
  "details": "The AI Image Lab \u2013 Free AI Image Generator plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to, and including, 1.0.6. This is due to missing or incorrect nonce validation on the \u0027wpz-ai-images\u0027 page. This makes it possible for unauthenticated attackers to update the plugin\u0027s API key via a forged request granted they can trick a site administrator into performing an action such as clicking on a link.",
  "id": "GHSA-hg2r-rg5c-cgfv",
  "modified": "2025-06-14T09:32:02Z",
  "published": "2025-06-14T09:32:02Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-4592"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/browser/ai-image-generator-lab/trunk/includes/admin/admin-page.php#L3"
    },
    {
      "type": "WEB",
      "url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/61d56713-59af-4ad9-8744-6c6a5e5fe213?source=cve"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N",
      "type": "CVSS_V3"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…