FKIE_CVE-2024-12601
Vulnerability from fkie_nvd - Published: 2024-12-17 12:15 - Updated: 2026-06-17 07:00
Severity
Summary
The Calculated Fields Form plugin for WordPress is vulnerable to Denial of Service in all versions up to, and including, 5.2.63. This is due to unlimited height and width parameters for CAPTCHA images. This makes it possible for unauthenticated attackers to send multiple requests with large values, resulting in slowing server resources if the server does not mitigate Denial of Service attacks.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| codepeople | calculated_fields_form | * |
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Calculated Fields Form",
"vendor": "codepeople",
"versions": [
{
"lessThanOrEqual": "5.2.63",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "security@wordfence.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:codepeople:calculated_fields_form:*:*:*:*:*:wordpress:*:*",
"matchCriteriaId": "E5A937AD-63DC-4026-AD3D-5E3EF6AC1981",
"versionEndExcluding": "5.2.64",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The Calculated Fields Form plugin for WordPress is vulnerable to Denial of Service in all versions up to, and including, 5.2.63. This is due to unlimited height and width parameters for CAPTCHA images. This makes it possible for unauthenticated attackers to send multiple requests with large values, resulting in slowing server resources if the server does not mitigate Denial of Service attacks."
},
{
"lang": "es",
"value": "El complemento Calculated Fields Form para WordPress es vulnerable a ataques de denegaci\u00f3n de servicio en todas las versiones hasta la 5.2.63 incluida. Esto se debe a los par\u00e1metros de alto y ancho ilimitados para las im\u00e1genes CAPTCHA. Esto hace posible que atacantes no autenticados env\u00eden m\u00faltiples solicitudes con valores grandes, lo que resulta en una ralentizaci\u00f3n de los recursos del servidor si este no mitiga los ataques de denegaci\u00f3n de servicio."
}
],
"id": "CVE-2024-12601",
"lastModified": "2026-06-17T07:00:01.760",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 1.4,
"source": "security@wordfence.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2024-12601",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-12-17T15:42:28.630139Z",
"version": "2.0.3"
}
}
]
},
"published": "2024-12-17T12:15:20.543",
"references": [
{
"source": "security@wordfence.com",
"tags": [
"Product"
],
"url": "https://plugins.trac.wordpress.org/browser/calculated-fields-form/trunk/captcha/captcha.php#L74"
},
{
"source": "security@wordfence.com",
"tags": [
"Product"
],
"url": "https://plugins.trac.wordpress.org/browser/calculated-fields-form/trunk/captcha/captcha.php#L75"
},
{
"source": "security@wordfence.com",
"tags": [
"Patch"
],
"url": "https://plugins.trac.wordpress.org/changeset/3207826/"
},
{
"source": "security@wordfence.com",
"tags": [
"Third Party Advisory"
],
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/1eade2ed-9a75-4857-a2c5-a21e016e7029?source=cve"
}
],
"sourceIdentifier": "security@wordfence.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-400"
}
],
"source": "security@wordfence.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-noinfo"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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