FKIE_CVE-2017-20246
Vulnerability from fkie_nvd - Published: 2026-06-09 13:16 - Updated: 2026-07-21 07:10
Severity
Summary
KittyCatfish 2.2 plugin for WordPress contains an SQL injection vulnerability that allows unauthenticated attackers to read database contents by exploiting an unescaped GET parameter. Attackers can inject SQL code through the 'kc_ad' parameter in base.css.php or kittycatfish.php to extract sensitive database information using boolean-based blind or time-based blind techniques.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "KittyCatfish",
"vendor": "Missilesilo",
"versions": [
{
"status": "affected",
"version": "2.2"
}
]
}
],
"source": "disclosure@vulncheck.com"
}
],
"cveTags": [
{
"sourceIdentifier": "disclosure@vulncheck.com",
"tags": [
"unsupported-when-assigned"
]
}
],
"descriptions": [
{
"lang": "en",
"value": "KittyCatfish 2.2 plugin for WordPress contains an SQL injection vulnerability that allows unauthenticated attackers to read database contents by exploiting an unescaped GET parameter. Attackers can inject SQL code through the \u0027kc_ad\u0027 parameter in base.css.php or kittycatfish.php to extract sensitive database information using boolean-based blind or time-based blind techniques."
},
{
"lang": "es",
"value": "El plugin KittyCatfish 2.2 para WordPress contiene una vulnerabilidad de inyecci\u00f3n SQL que permite a atacantes no autenticados leer el contenido de la base de datos explotando un par\u00e1metro GET sin escapar. Los atacantes pueden inyectar c\u00f3digo SQL a trav\u00e9s del par\u00e1metro \u0027kc_ad\u0027 en base.css.php o kittycatfish.php para extraer informaci\u00f3n sensible de la base de datos utilizando t\u00e9cnicas de inyecci\u00f3n ciega basada en booleanos o basada en tiempo."
}
],
"id": "CVE-2017-20246",
"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-2017-20246",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-06-09T16:11:00.627764Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-06-09T13:16:34.410",
"references": [
{
"source": "disclosure@vulncheck.com",
"url": "https://tad.group"
},
{
"source": "disclosure@vulncheck.com",
"url": "https://wordpress.org/plugins-wp/kittycatfish/"
},
{
"source": "disclosure@vulncheck.com",
"url": "https://www.exploit-db.com/exploits/41919"
},
{
"source": "disclosure@vulncheck.com",
"url": "https://www.vulncheck.com/advisories/kittycatfish-plugin-for-wordpress-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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