FKIE_CVE-2026-93368
Vulnerability from fkie_nvd - Published: 2026-09-23 09:17 - Updated: 2026-09-23 19:19
Severity
Summary
The Rename wp-login.php to anything you want plugin for WordPress is vulnerable to time-based SQL Injection via 'log' (Username) Parameter in all versions up to, and including, 2.0.1 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. This makes it possible for unauthenticated attackers to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database. WordPress core applies wp_unslash() to the 'log' POST value before dispatching the wp_login_failed action, stripping magic-quotes backslash escaping and allowing a raw single quote to reach the plugin's handler unimpeded.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Rename wp-login.php to anything you want",
"vendor": "travispluse",
"versions": [
{
"lessThanOrEqual": "2.0.1",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "security@wordfence.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The Rename wp-login.php to anything you want plugin for WordPress is vulnerable to time-based SQL Injection via \u0027log\u0027 (Username) Parameter in all versions up to, and including, 2.0.1 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. This makes it possible for unauthenticated attackers to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database. WordPress core applies wp_unslash() to the \u0027log\u0027 POST value before dispatching the wp_login_failed action, stripping magic-quotes backslash escaping and allowing a raw single quote to reach the plugin\u0027s handler unimpeded."
}
],
"id": "CVE-2026-93368",
"lastModified": "2026-09-23T19:19:45.020",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "security@wordfence.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-93368",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-23T18:37:24.330305Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-23T09:17:09.247",
"references": [
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/rename-wp-loginphp-to-anything-you-want/tags/2.0.1/init.php#L217"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/rename-wp-loginphp-to-anything-you-want/tags/2.0.1/init.php#L388"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/rename-wp-loginphp-to-anything-you-want/tags/2.0.1/init.php#L398"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/rename-wp-loginphp-to-anything-you-want/tags/2.0.1/init.php#L421"
},
{
"source": "security@wordfence.com",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/89a07c47-b57c-49de-9f7c-a2bb29e3fecc?source=cve"
}
],
"sourceIdentifier": "security@wordfence.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-89"
}
],
"source": "security@wordfence.com",
"type": "Secondary"
}
]
}
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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.
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.
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.
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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.
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