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detecting-deepfake-audio-in-vishing-attacks

Detects AI-generated deepfake audio used in voice phishing (vishing) attacks by extracting spectral features (MFCC, spectral centroid, spectral contrast, zero-crossing rate) and classifying samples with machine learning models. Supports batch analysis of audio files, generates confidence scores, and produces forensic reports. Activates for requests involving deepfake voice detection, vishing investigation, AI-generated speech analysis, voice cloning detection, or audio authenticity verification.

internal/tools/skills/data/social-engineering-defense/detecting-deepfake-audio-in-vishing-attacks/SKILL.md

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Nov 8, 2026
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Apache-2.0

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# Detecting Deepfake Audio in Vishing Attacks

## 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

**Do not use** for text-based phishing (email/SMS); use email header analysis or URL detonation tools instead.

## Detection Gaps & Validation
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