FKIE_CVE-2025-13427
Vulnerability from fkie_nvd - Published: 2025-12-18 22:15 - Updated: 2026-09-30 16:10
Severity
Summary
An authentication bypass vulnerability in Google Cloud Dialogflow CX Messenger allowed unauthenticated users to interact with restricted chat agents, gaining access to the agents' knowledge and the ability to trigger their intents, by manipulating initialization parameters or crafting specific API requests.
All versions after August 20th, 2025 have been updated to protect from this vulnerability. No user action is required for this.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Dialogflow CX Messenger",
"vendor": "Google Cloud",
"versions": [
{
"lessThanOrEqual": "2025-08-20",
"status": "affected",
"version": "0",
"versionType": "date"
}
]
}
],
"source": "f45cbf4e-4146-4068-b7e1-655ffc2c548c"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "An authentication bypass vulnerability in Google Cloud Dialogflow CX Messenger allowed unauthenticated users to interact with restricted chat agents, gaining access to the agents\u0027 knowledge and the ability to trigger their intents, by manipulating initialization parameters or crafting specific API requests. \n\nAll versions after August 20th, 2025 have been updated to protect from this vulnerability. No user action is required for this."
},
{
"lang": "es",
"value": "Una vulnerabilidad de omisi\u00f3n de autenticaci\u00f3n en Google Cloud Dialogflow CX Messenger permiti\u00f3 a usuarios no autenticados interactuar con agentes de chat restringidos, obteniendo acceso al conocimiento de los agentes y la capacidad de activar sus intenciones, manipulando par\u00e1metros de inicializaci\u00f3n o elaborando solicitudes de API espec\u00edficas.\n\nTodas las versiones posteriores al 20 de agosto de 2025 han sido actualizadas para protegerse de esta vulnerabilidad. No se requiere ninguna acci\u00f3n del usuario para esto."
}
],
"id": "CVE-2025-13427",
"lastModified": "2026-09-30T16:10:00.223",
"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": "LOW",
"subIntegrityImpact": "LOW",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:N/SC:L/SI:L/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": "LOW",
"vulnIntegrityImpact": "LOW",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-13427",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-12-19T15:13:24.619402Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-12-18T22:15:55.590",
"references": [
{
"source": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
"url": "https://docs.cloud.google.com/dialogflow/docs/release-notes#December_11_2025"
}
],
"sourceIdentifier": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-287"
}
],
"source": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
"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.
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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