domains / families / security / detecting-deepfake-audio-in-vishing-attacks

detecting-deepfake-audio-in-vishing-attacks

separate

Detect AI-generated deepfake audio used in voice phishing (vishing) by extracting spectral features (MFCC, spectral centroid, spectral contrast, zero-crossing rate) and classifying samples with machine learning models, supporting batch audio analysis, confidence scoring, and forensic reporting. Use for deepfake voice detection, vishing investigations, AI-generated speech analysis, voice cloning detection, or audio authenticity verification.

When to use

• A suspected vishing call used an AI-cloned executive voice to authorize a wire transfer
• Security operations received a voicemail that sounds like the CEO but the tone seems off
• Incident response needs to determine whether a recorded phone call contains synthetic speech
• Fraud investigation requires forensic proof that audio was AI-generated
• Red team exercises use voice cloning and blue team needs detection capability

When not to use

• text-based phishing (email/SMS)
• email header analysis
• URL detonation

Skill page

Source