Banana Navy
Catalog FR
Lab · Threat modeling IA · Fiche détaillée

Synthetic voice spoofing (cloning, TTS, conversion)

the attacker produces a voice that is not a real human's or that imitates a victim, via cloning, speech synthesis (TTS), voice conversion or a synthetic call, to trigger actions or unwarranted credit.

SheetF2
CategoryS-TB7-01 (spoofing, identité vocale)
Layers6 · Deepfake Detection, 3 · Audio Capture, 8 · Speaker Verification
Systemvoicebot IA

deep synthetic-audio detection (anti-spoofing ensemble), explicit confidence thresholds, human escalation when in doubt, alerts on supposedly synthetic emergency calls.

The threat

the attacker produces a voice that is not a real human's or that imitates a victim, via cloning, speech synthesis (TTS), voice conversion or a synthetic call, to trigger actions or unwarranted credit.

Angle mortWhy classic frameworks miss it

voice identity is not a binary identifier like a password; classic frameworks do not model a speech signature that can be generated artificially and pass a simple presence check.

MitigationProposed approach

deep synthetic-audio detection (anti-spoofing ensemble), explicit confidence thresholds, human escalation when in doubt, alerts on supposedly synthetic emergency calls.

The proposed control
no critical path validated on a single voice analysis.

Expected evidence
a cloned sample does not obtain a sensitive action without an additional control.

SourcesReferences and public research

MITRE ATLAS 2026.07AML.T0043 Craft Adversarial Data
Recherche publiquePublic research sources: MITRE ATLAS 2026.07 (verified technique mapping), OWASP GenAI (catégories par abus de modèle), and the public risk-voicebot (aivansoul/risk-voicebot) template defining the 20 checkpoints. No client registry data: generic sheet, no rating, no verdict.
couche 6 · Deepfake Detectioncouche 3 · Audio Capturecouche 8 · Speaker Verification

Explore the 20 security layers

MITRE ATLAS 2026.07 · OWASP GenAI · risk-voicebot