GHSA-8C22-3V87-C9P2
Vulnerability from github – Published: 2024-10-16 03:31 – Updated: 2024-10-16 03:31
VLAI
Details
The UltimateAI plugin for WordPress is vulnerable to authentication bypass in all versions up to, and including, 2.8.3. This is due to the improper empty value check and a missing default activated value check in the 'ultimate_ai_change_pass' function. This makes it possible for unauthenticated attackers to reset the password of the first user, whose account is not yet activated or the first user who activated their account, who are subscribers.
Severity
5.6 (Medium)
{
"affected": [],
"aliases": [
"CVE-2024-9104"
],
"database_specific": {
"cwe_ids": [
"CWE-703"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-10-16T02:15:06Z",
"severity": "MODERATE"
},
"details": "The UltimateAI plugin for WordPress is vulnerable to authentication bypass in all versions up to, and including, 2.8.3. This is due to the improper empty value check and a missing default activated value check in the \u0027ultimate_ai_change_pass\u0027 function. This makes it possible for unauthenticated attackers to reset the password of the first user, whose account is not yet activated or the first user who activated their account, who are subscribers.",
"id": "GHSA-8c22-3v87-c9p2",
"modified": "2024-10-16T03:31:33Z",
"published": "2024-10-16T03:31:33Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-9104"
},
{
"type": "WEB",
"url": "https://codecanyon.net/item/ultimateai-ai-enhanced-wordpress-plugin-with-saas-for-content-code-chat-and-image-generation/51201953"
},
{
"type": "WEB",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/3faf976d-0763-4e47-9bc3-18c791ec4487?source=cve"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:L",
"type": "CVSS_V3"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
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