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

Transcription and speech tampering

the attacker exploits transcription limits (errors, multilingual confusion, adversarial spoken phrases) to make the system read something other than what is said.

SheetF7
CategoryT-TB7-01 + AI2-TB7
Layers9 · STT Transcription
Systemvoicebot IA

explicit transcription confidence threshold, language detection, human fallback on sensitive intents, deterministic validation before the critical path.

The threat

the attacker exploits transcription limits (errors, multilingual confusion, adversarial spoken phrases) to make the system read something other than what is said.

Angle mortWhy classic frameworks miss it

transcription is not a validated form field; a misunderstood utterance can trigger a high-impact action without any classic injection.

MitigationProposed approach

explicit transcription confidence threshold, language detection, human fallback on sensitive intents, deterministic validation before the critical path.

The proposed control
a low-confidence transcription does not trigger a sensitive action.

Expected evidence
demonstrate that an adversarial phrase never reaches the critical decision.

SourcesReferences and public research

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 9 · STT Transcription

Explore the 20 security layers

MITRE ATLAS 2026.07 · OWASP GenAI · risk-voicebot