CVE-2026-15988 (GCVE-0-2026-15988)
Vulnerability from cvelistv5 – Published: 2026-08-01 06:48 – Updated: 2026-08-01 06:48
VLAI
EPSS
VEX
Title
AI Engine <= 3.6.5 - Cross-Site Request Forgery to Privilege Escalation via REQUEST_URI Substring Match
Summary
The AI Engine – The Chatbot, AI Framework & MCP for WordPress plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to, and including, 3.6.5 This is due to missing or incorrect nonce validation on the reauth_for_authorize function. This makes it possible for unauthenticated attackers to create new administrator accounts with attacker-supplied credentials via a CSRF-based REST authentication bypass, granted they can trick a site administrator into performing an action such as clicking on a link. This bypass can be combined with WordPress's ?_method=POST method-override support to convert a top-navigation GET request into an authenticated POST to the REST users endpoint, requiring no existing account on the attacker's part.
Severity
8.8 (High)
CWE
- CWE-352 - Cross-Site Request Forgery (CSRF)
Assigner
References
7 references
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tigroumeow | AI Engine – The Chatbot, AI Framework & MCP for WordPress |
Affected:
0 , ≤ 3.6.5
(semver)
|
Credits
{
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"product": "AI Engine \u2013 The Chatbot, AI Framework \u0026 MCP for WordPress",
"vendor": "tigroumeow",
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}
],
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"problemTypes": [
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],
"providerMetadata": {
"dateUpdated": "2026-08-01T06:48:48.163Z",
"orgId": "b15e7b5b-3da4-40ae-a43c-f7aa60e62599",
"shortName": "Wordfence"
},
"references": [
{
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/45816c45-42bc-4163-b700-a1e913f32c97?source=cve"
},
{
"url": "https://plugins.trac.wordpress.org/browser/ai-engine/tags/3.6.2/labs/mcp-oauth.php#L127"
},
{
"url": "https://plugins.trac.wordpress.org/browser/ai-engine/tags/3.6.2/labs/mcp-oauth.php#L120"
},
{
"url": "https://plugins.trac.wordpress.org/browser/ai-engine/tags/3.6.2/labs/mcp-oauth.php#L121"
},
{
"url": "https://plugins.trac.wordpress.org/browser/ai-engine/tags/3.6.2/labs/mcp-oauth.php#L49"
},
{
"url": "https://plugins.trac.wordpress.org/changeset?old_path=%2Fai-engine/tags/3.6.5\u0026new_path=%2Fai-engine/tags/3.6.6"
},
{
"url": "https://plugins.trac.wordpress.org/changeset/3628188/ai-engine/trunk/labs/mcp-oauth.php"
}
],
"timeline": [
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"lang": "en",
"time": "2026-07-16T19:42:37.000Z",
"value": "Vendor Notified"
},
{
"lang": "en",
"time": "2026-07-31T18:40:58.000Z",
"value": "Disclosed"
}
],
"title": "AI Engine \u003c= 3.6.5 - Cross-Site Request Forgery to Privilege Escalation via REQUEST_URI Substring Match"
}
},
"cveMetadata": {
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"datePublished": "2026-08-01T06:48:48.163Z",
"dateReserved": "2026-07-16T19:26:38.291Z",
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"epss": {
"cve": "CVE-2026-15988",
"date": "2026-08-03",
"epss": "0.00217",
"percentile": "0.12215"
},
"nvd": "{\"cve\":{\"id\":\"CVE-2026-15988\",\"sourceIdentifier\":\"security@wordfence.com\",\"published\":\"2026-08-01T08:16:29.610\",\"lastModified\":\"2026-08-01T08:16:29.610\",\"vulnStatus\":\"Received\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"The AI Engine \u2013 The Chatbot, AI Framework \u0026 MCP for WordPress plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to, and including, 3.6.5 This is due to missing or incorrect nonce validation on the reauth_for_authorize function. This makes it possible for unauthenticated attackers to create new administrator accounts with attacker-supplied credentials via a CSRF-based REST authentication bypass, granted they can trick a site administrator into performing an action such as clicking on a link. This bypass can be combined with WordPress\u0027s ?_method=POST method-override support to convert a top-navigation GET request into an authenticated POST to the REST users endpoint, requiring no existing account on the attacker\u0027s part.\"}],\"affected\":[{\"source\":\"security@wordfence.com\",\"affectedData\":[{\"vendor\":\"tigroumeow\",\"product\":\"AI Engine \u2013 The Chatbot, AI Framework \u0026 MCP for WordPress\",\"defaultStatus\":\"unaffected\",\"versions\":[{\"version\":\"0\",\"lessThanOrEqual\":\"3.6.5\",\"versionType\":\"semver\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security@wordfence.com\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H\",\"baseScore\":8.8,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"REQUIRED\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":2.8,\"impactScore\":5.9}]},\"weaknesses\":[{\"source\":\"security@wordfence.com\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-352\"}]}],\"references\":[{\"url\":\"https://plugins.trac.wordpress.org/browser/ai-engine/tags/3.6.2/labs/mcp-oauth.php#L120\",\"source\":\"security@wordfence.com\"},{\"url\":\"https://plugins.trac.wordpress.org/browser/ai-engine/tags/3.6.2/labs/mcp-oauth.php#L121\",\"source\":\"security@wordfence.com\"},{\"url\":\"https://plugins.trac.wordpress.org/browser/ai-engine/tags/3.6.2/labs/mcp-oauth.php#L127\",\"source\":\"security@wordfence.com\"},{\"url\":\"https://plugins.trac.wordpress.org/browser/ai-engine/tags/3.6.2/labs/mcp-oauth.php#L49\",\"source\":\"security@wordfence.com\"},{\"url\":\"https://plugins.trac.wordpress.org/changeset/3628188/ai-engine/trunk/labs/mcp-oauth.php\",\"source\":\"security@wordfence.com\"},{\"url\":\"https://plugins.trac.wordpress.org/changeset?old_path=%2Fai-engine/tags/3.6.5\u0026new_path=%2Fai-engine/tags/3.6.6\",\"source\":\"security@wordfence.com\"},{\"url\":\"https://www.wordfence.com/threat-intel/vulnerabilities/id/45816c45-42bc-4163-b700-a1e913f32c97?source=cve\",\"source\":\"security@wordfence.com\"}]}}"
}
}
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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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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.
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