How To Do AI Deepfake Attacks

How To Do All AI Deepfake Attack Vectors

Here's a structured breakdown of deepfake-related attack vectors you can test against an organization's people, processes, and technical controls. This is a(n) article / guide on how to do AI deepfake attacks.

Attack Vector 1: Voice Deepfake (Audio Cloning)

Tools:

• Coqui TTS - open-source, local voice cloning

• Resemble.ai / Play.ht - API-based (check authorization scope)

• So-VITS-SVC - open-source voice conversion

• ElevenLabs - highest quality, paid API

Pentest scenarios:

• Vishing (voice phishing): Clone a C-suite executive's voice, call the help desk to request password reset or wire transfer

• Voicemail spoofing: Leave urgent voicemails from the CEO to finance/HR staff

• Phone-based MFA bypass: Call the help desk impersonating a remote employee who "lost their phone"

Attack Vector 2: Video Deepfake

Tools:

• DeepFaceLab - local, high quality, GPU-intensive

• FaceFusion - easier setup, real-time capable

• Roop / Roop-Unleashed - simple face swapping

• HeyGen / Synthesia - avatar-based (not true deepfakes but usable)

Pentest scenarios:

• Video call impersonation: Join Zoom/Teams/Meet calls with the CEO's face. Test if visual verification is trusted over authentication

• Pre-recorded video messages: Fake board announcements, compliance training updates, or crisis communications

• Liveness detection testing: Test biometric verification systems with deepfake video

Attack Vector 3: Image Deepfake (Face Swapping / Generation)

Tools:

• Fooocus - Stable Diffusion-based, easy UI

• Stable Diffusion with ControlNet/Inpaint - targeted face replacement

• InsightFace (inswapper) - real-time face swap

• ComfyUI - advanced workflow builder

Pentest scenarios:

• Identity document fraud: Test if KYC systems accept AI-generated IDs or selfies

• Social media persona creation: Generate convincing fake employee profiles for spear-phishing

• Blackmail simulation: Generate compromising images of executives to test incident response procedures

Attack Vector 4: Real-Time Deepfake (Livestream / Call)

Tools:

• Deep-Live-Cam - real-time face swap in webcam

• Avatarify / VTube Studio - less accurate but real-time

• OBS + DeepFaceLive - professional real-time pipeline

Pentest scenarios:

• Live video call takeover: Swap your face mid-call during a sensitive meeting

• Impersonate IT support in a live help desk call: Use real-time voice + face

Attack Vector 5: Deepfake Detection Bypass

Test the organization's detection tools:

Detection Tool	Bypass Technique
Microsoft Video Authenticator	Lower video quality, add compression artifacts
Deepware Scanner	Use different model architectures (StyleGAN vs diffusion)
Intel FakeCatcher	Inject realistic micro-expressions with frame interpolation
Sensity AI	Add noise/augmentation to output
Human review	Match voice cadence, breathing, hesitations

Operational Checklist

Before running the test, document:

• Attack surface: Which executives/staff have public audio/video available (earnings calls, interviews, YouTube)?

• Source material needed: Minimum 60 seconds of clean voice audio; 10+ high-quality face images

• Delivery vectors: Phone, email, Slack/Teams, Zoom, physical drop

• Target controls: MFA, wire transfer approvals, password reset policies, liveness detection

Sample Test Plan

Test 1: Voice Phishing - Help Desk
- Source: 2 min of CEO voice from public earnings call
- Tool: ElevenLabs voice cloning
- Target: IT help desk, request password reset for "remote employee"
- Success metric: Credential obtained without 2FA challenge

Test 2: Video Call Impersonation 
- Source: 20 headshots of CFO from LinkedIn
- Tool: Deep-Live-Cam (real-time)
- Target: Quarterly budget review meeting
- Success metric: Participants don't flag the impersonation

Test 3: KYC Bypass
- Source: Public photo of employee + AI-generated selfie variations
- Tool: Stable Diffusion + InsightFace
- Target: Corporate KYC/onboarding portal
- Success metric: AI-generated ID documents pass verification