FKIE_CVE-2026-41276
Vulnerability from fkie_nvd - Published: 2026-04-23 20:16 - Updated: 2026-10-26 22:10
Severity
Summary
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, this vulnerability allows remote attackers to bypass authentication on affected installations of FlowiseAI Flowise. Authentication is not required to exploit this vulnerability. The specific flaw exists within the resetPassword method of the AccountService class. There is no check performed to ensure that a password reset token has actually been generated for a user account. By default the value of the reset token stored in a users account is null, or an empty string if they've reset their password before. An attacker with knowledge of the user's email address can submit a request to the "/api/v1/account/reset-password" endpoint containing a null or empty string reset token value and reset that user's password to a value of their choosing. This vulnerability is fixed in 3.1.0.
References
| URL | Tags | ||
|---|---|---|---|
| security-advisories@github.com | https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-f6hc-c5jr-878p | Exploit, Vendor Advisory | |
| 134c704f-9b21-4f2e-91b3-4a467353bcc0 | https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-f6hc-c5jr-878p | Exploit, Vendor Advisory |
{
"affected": [
{
"affectedData": [
{
"product": "Flowise",
"vendor": "FlowiseAI",
"versions": [
{
"status": "affected",
"version": "\u003c 3.1.0"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:flowiseai:flowise:*:*:*:*:*:*:*:*",
"matchCriteriaId": "CB30DB8F-4F72-4FD3-90FB-8331F1CBB78E",
"versionEndExcluding": "3.1.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Flowise is a drag \u0026 drop user interface to build a customized large language model flow. Prior to 3.1.0, this vulnerability allows remote attackers to bypass authentication on affected installations of FlowiseAI Flowise. Authentication is not required to exploit this vulnerability. The specific flaw exists within the resetPassword method of the AccountService class. There is no check performed to ensure that a password reset token has actually been generated for a user account. By default the value of the reset token stored in a users account is null, or an empty string if they\u0027ve reset their password before. An attacker with knowledge of the user\u0027s email address can submit a request to the \"/api/v1/account/reset-password\" endpoint containing a null or empty string reset token value and reset that user\u0027s password to a value of their choosing. This vulnerability is fixed in 3.1.0."
},
{
"lang": "es",
"value": "Flowise es una interfaz de usuario de arrastrar y soltar para construir un flujo de modelo de lenguaje grande personalizado. Antes de la versi\u00f3n 3.1.0, esta vulnerabilidad permite a atacantes remotos omitir la autenticaci\u00f3n en instalaciones afectadas de FlowiseAI Flowise. La autenticaci\u00f3n no es necesaria para explotar esta vulnerabilidad. La falla espec\u00edfica existe dentro del m\u00e9todo resetPassword de la clase AccountService. No se realiza ninguna verificaci\u00f3n para asegurar que se haya generado realmente un token de restablecimiento de contrase\u00f1a para una cuenta de usuario. Por defecto, el valor del token de restablecimiento almacenado en la cuenta de un usuario es nulo, o una cadena vac\u00eda si han restablecido su contrase\u00f1a anteriormente. Un atacante con conocimiento de la direcci\u00f3n de correo electr\u00f3nico del usuario puede enviar una solicitud al endpoint \u2019/api/v1/account/reset-password\u2019 que contenga un valor de token de restablecimiento nulo o una cadena vac\u00eda y restablecer la contrase\u00f1a de ese usuario a un valor de su elecci\u00f3n. Esta vulnerabilidad est\u00e1 corregida en la versi\u00f3n 3.1.0."
}
],
"id": "CVE-2026-41276",
"lastModified": "2026-10-26T22:10:00.163",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"cvssMetricV40": [
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"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "HIGH",
"attackRequirements": "PRESENT",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 7.7,
"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": "PASSIVE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/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": "HIGH",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "HIGH",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-41276",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-04-24T14:43:03.196394Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-04-23T20:16:16.270",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Vendor Advisory"
],
"url": "https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-f6hc-c5jr-878p"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"tags": [
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"url": "https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-f6hc-c5jr-878p"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-287"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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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