FKIE_CVE-2026-112067
Vulnerability from fkie_nvd - Published: 2026-10-20 10:17 - Updated: 2026-10-20 19:28
Severity
Summary
The extension hides the correct answer to each CAPTCHA inside the image data of the CAPTCHA itself. Anyone who can request a CAPTCHA image can read the answer from it and submit it, so automated clients can pass the challenge. This applies to the default configuration, because the audio feature that causes the answer to be embedded is enabled by default. Forms that rely on the CAPTCHA as their only protection against automated submissions are exposed to abuse by bots.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://packagist.org/",
"defaultStatus": "unaffected",
"packageName": "blueways/bw-captcha",
"product": "Extension \"Accessible Form Captcha\"",
"vendor": "TYPO3",
"versions": [
{
"lessThan": "5.4.2",
"status": "affected",
"version": "4.0.0",
"versionType": "semver"
}
]
}
],
"source": "f4fb688c-4412-4426-b4b8-421ecf27b14a"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The extension hides the correct answer to each CAPTCHA inside the image data of the CAPTCHA itself. Anyone who can request a CAPTCHA image can read the answer from it and submit it, so automated clients can pass the challenge. This applies to the default configuration, because the audio feature that causes the answer to be embedded is enabled by default. Forms that rely on the CAPTCHA as their only protection against automated submissions are exposed to abuse by bots."
}
],
"id": "CVE-2026-112067",
"lastModified": "2026-10-20T19:28:52.970",
"metrics": {
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 6.9,
"baseSeverity": "MEDIUM",
"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:N/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": "NONE",
"vulnIntegrityImpact": "LOW",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "f4fb688c-4412-4426-b4b8-421ecf27b14a",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-112067",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-10-20T19:07:28.937445Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-10-20T10:17:03.883",
"references": [
{
"source": "f4fb688c-4412-4426-b4b8-421ecf27b14a",
"url": "https://typo3.org/security/advisory/typo3-ext-sa-2026-030"
}
],
"sourceIdentifier": "f4fb688c-4412-4426-b4b8-421ecf27b14a",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-656"
},
{
"lang": "en",
"value": "CWE-804"
}
],
"source": "f4fb688c-4412-4426-b4b8-421ecf27b14a",
"type": "Secondary"
}
]
}
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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.
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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.