FKIE_CVE-2026-18881
Vulnerability from fkie_nvd - Published: 2026-08-05 08:16 - Updated: 2026-08-12 21:00
Severity
Summary
The TableOn – WordPress Posts Table Filterable plugin for WordPress is vulnerable to blind SQL Injection via the `filter_data[comment_count]` parameter of the public `tableon_get_table_data` AJAX action in all versions up to, and including, 1.0.5.1. This is due to insufficient escaping on the user-supplied parameter and lack of sufficient preparation on the existing SQL query — the value is split on `:` and both halves are interpolated directly into a `posts_where` SQL clause without `intval()` casting or `$wpdb->prepare()`. This makes it possible for unauthenticated attackers to append additional SQL queries into the already-existing query that can be used to extract sensitive information from the database (researcher demonstrated extraction of database(), wp_users.user_login, and wp_users.user_pass).
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "TableOn \u2013 WordPress Posts Table Filterable",
"vendor": "realmag777",
"versions": [
{
"lessThanOrEqual": "1.0.5.1",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "security@wordfence.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The TableOn \u2013 WordPress Posts Table Filterable plugin for WordPress is vulnerable to blind SQL Injection via the `filter_data[comment_count]` parameter of the public `tableon_get_table_data` AJAX action in all versions up to, and including, 1.0.5.1. This is due to insufficient escaping on the user-supplied parameter and lack of sufficient preparation on the existing SQL query \u2014 the value is split on `:` and both halves are interpolated directly into a `posts_where` SQL clause without `intval()` casting or `$wpdb-\u003eprepare()`. This makes it possible for unauthenticated attackers to append additional SQL queries into the already-existing query that can be used to extract sensitive information from the database (researcher demonstrated extraction of database(), wp_users.user_login, and wp_users.user_pass)."
}
],
"id": "CVE-2026-18881",
"lastModified": "2026-08-12T21:00:37.147",
"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-2026-18881",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-05T13:29:48.228149Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-08-05T08:16:32.750",
"references": [
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/posts-table-filterable/tags/1.0.6/profiles/default/default.php#L765"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/posts-table-filterable/trunk/index.php#L76"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/posts-table-filterable/trunk/profiles/default/default.php#L765"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/changeset?sfp_email=\u0026sfph_mail=\u0026reponame=\u0026old=3520311%40posts-table-filterable%2Ftrunk\u0026new=3520313%40posts-table-filterable%2Ftrunk"
},
{
"source": "security@wordfence.com",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/ac53ade6-b654-4169-a50a-96b3de3d108d?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.
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.
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