FKIE_CVE-2017-20244
Vulnerability from fkie_nvd - Published: 2026-06-09 13:16 - Updated: 2026-07-21 07:10
Severity
Summary
Wow Forms WordPress Plugin version 2.1 contains an SQL injection vulnerability that allows unauthenticated attackers to read arbitrary database information by exploiting an unescaped POST parameter. Attackers can inject SQL code through the 'mwpformid' parameter in requests to the admin-ajax.php endpoint with the 'send_mwp_form' action to extract sensitive database contents.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "Wow Forms",
"vendor": "Wow-Company",
"versions": [
{
"status": "affected",
"version": "2.1"
}
]
}
],
"source": "disclosure@vulncheck.com"
}
],
"cveTags": [
{
"sourceIdentifier": "disclosure@vulncheck.com",
"tags": [
"unsupported-when-assigned"
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Wow Forms WordPress Plugin version 2.1 contains an SQL injection vulnerability that allows unauthenticated attackers to read arbitrary database information by exploiting an unescaped POST parameter. Attackers can inject SQL code through the \u0027mwpformid\u0027 parameter in requests to the admin-ajax.php endpoint with the \u0027send_mwp_form\u0027 action to extract sensitive database contents."
},
{
"lang": "es",
"value": "El plugin de WordPress Wow Forms versi\u00f3n 2.1 contiene una vulnerabilidad de inyecci\u00f3n SQL que permite a atacantes no autenticados leer informaci\u00f3n arbitraria de la base de datos explotando un par\u00e1metro POST sin escapar. Los atacantes pueden inyectar c\u00f3digo SQL a trav\u00e9s del par\u00e1metro \u0027mwpformid\u0027 en solicitudes al endpoint admin-ajax.php con la acci\u00f3n \u0027send_mwp_form\u0027 para extraer contenido sensible de la base de datos."
}
],
"id": "CVE-2017-20244",
"lastModified": "2026-07-21T07:10:00.117",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.2,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 4.2,
"source": "disclosure@vulncheck.com",
"type": "Secondary"
}
],
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "LOW",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "disclosure@vulncheck.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2017-20244",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-06-09T13:09:48.391151Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-06-09T13:16:34.123",
"references": [
{
"source": "disclosure@vulncheck.com",
"url": "http://wow-company.com/"
},
{
"source": "disclosure@vulncheck.com",
"url": "https://tad.group"
},
{
"source": "disclosure@vulncheck.com",
"url": "https://wordpress.org/plugins/mwp-forms/"
},
{
"source": "disclosure@vulncheck.com",
"url": "https://www.exploit-db.com/exploits/41922"
},
{
"source": "disclosure@vulncheck.com",
"url": "https://www.vulncheck.com/advisories/wow-forms-wordpress-plugin-sql-injection"
}
],
"sourceIdentifier": "disclosure@vulncheck.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-89"
}
],
"source": "disclosure@vulncheck.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.
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