⚠️ This is a simulation for educational purposes. No real AI is used.

🎭 Deepfake Awareness Demo

Learn to identify AI-generated synthetic media and voice cloning

Understanding Deepfakes

Deepfakes are AI-generated synthetic media that can convincingly impersonate real people's faces, voices, or both. These can be used for fraud, impersonation, misinformation, and social engineering attacks.

This demonstration teaches you to recognize common deepfake indicators without requiring technical expertise. Real-world detection combines human observation with AI analysis tools.

Types of Deepfake Threats

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Video Deepfakes

What they are: AI-generated videos that replace one person's face with another's or create entirely synthetic people.

Common uses in attacks:

  • CEO fraud: Fake video calls requesting urgent wire transfers
  • Impersonation: Creating fake statements from public figures
  • Misinformation: Fabricating events that never happened
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Voice Cloning

What it is: AI that can replicate someone's voice from just a few seconds of audio.

Common uses in attacks:

  • Phone scams: Impersonating family members in distress
  • Business fraud: Faking executive approval for payments
  • Voicemail spoofing: Creating fake urgent messages
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Face Swaps

What they are: Photos or videos where one person's face is replaced with another's.

Common uses in attacks:

  • Identity theft: Creating fake profile pictures
  • Impersonation: Fabricating presence at events
  • Verification bypass: Defeating facial recognition

Interactive Deepfake Analysis

Simulated Video Frame Analysis

Below is a placeholder representing a video frame. Click "Analyze for Deepfake Indicators" to see what an AI detection tool would flag.

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Simulated Video Frame - "Executive Message"

0:00 / 0:45 • 1080p

Common Deepfake Indicators

Learn to spot these warning signs with your own eyes, even without AI tools:

👁️ Facial Anomalies

  • Unnatural blinking: Too frequent, too rare, or irregular patterns
  • Eye inconsistencies: Different sizes, misaligned gaze, or odd reflections
  • Facial boundaries: Blurring or artifacts around hairline, jaw, or neck
  • Expression lag: Delayed emotional responses or frozen features

💡 Lighting Issues

  • Inconsistent shadows: Face lit differently than environment
  • Skin tone mismatch: Face and neck appear different colors
  • Reflection errors: Face doesn't reflect light like surroundings
  • Light source conflicts: Multiple impossible lighting angles

👄 Audio-Visual Sync

  • Lip-sync errors: Mouth movements don't match speech precisely
  • Teeth anomalies: Blurred, morphing, or unrealistic teeth
  • Voice inconsistencies: Robotic cadence or unnatural emphasis
  • Background noise mismatch: Voice quality doesn't match environment

🎬 Video Artifacts

  • Pixelation around face: Lower quality in facial region
  • Frame inconsistency: Face clarity varies frame-to-frame
  • Motion blur errors: Face doesn't blur naturally with movement
  • Edge warping: Background distorts near face boundaries

Voice Cloning Indicators

When you receive unexpected phone calls or audio messages, watch for these signs:

Audio Deepfake Red Flags

  • Robotic or flat emotional tone: Voice lacks natural emotional variation or sounds slightly mechanical
  • Breathing inconsistencies: No natural breaths, or breathing doesn't sync with speech patterns
  • Pacing abnormalities: Unusually steady cadence without natural pauses or hesitations
  • Background noise mismatch: Voice quality doesn't match claimed environment (e.g., perfect clarity from "noisy airport")
  • Pronunciation quirks: Emphasis on wrong syllables or slight mispronunciations the real person wouldn't make
  • Emotional incongruence: Urgent words spoken without matching stress or emotion in voice
  • ⚠️ Critical Rule for Voice Verification:

    If someone calls asking for sensitive information or urgent action—especially money transfers—hang up and call them back at a known, verified number. Real emergencies can wait 2 minutes for verification.

    Real-World Deepfake Attack Scenarios

    Case Examples (Educational)

    📱 Family Emergency Scam

    Attack: Voice-cloned call from "family member" claiming they're arrested and need bail money immediately.

    Why it works: Emotional distress + urgency + familiar voice = bypassed critical thinking.

    Defense: Hang up. Call the family member directly. Call other family to verify. Real emergencies allow time for verification.

    💼 CEO Fraud Video Call

    Attack: Deepfake video conference with "CEO" approving unusual wire transfer during "travel."

    Why it works: Authority + visual confirmation + time pressure = compliance without verification.

    Defense: Verify through separate channel. Follow financial authorization procedures regardless of who requests bypass.

    🎤 Fake News Statements

    Attack: Synthetic video of public figure making inflammatory or false statements.

    Why it works: Visual "proof" + confirmation bias + rapid social sharing = widespread misinformation.

    Defense: Check multiple credible sources. Look for official confirmations. Watch for deepfake indicators before sharing.

    Protecting Yourself from Deepfakes

    🔍 Verify Everything Important

    For any video/audio requesting action (especially financial):

    • Contact the person through a different, verified channel
    • Ask questions only the real person would know
    • Trust verification processes over visual/audio "proof"

    ⏸️ Pause and Analyze

    When something feels off about a video or call:

    • Watch/listen multiple times for indicators
    • Check lighting, sync, and audio quality
    • Look for unnatural movements or expressions
    • Trust your instincts if something seems wrong

    🛡️ Use AI Detection Tools

    Leverage technology to help:

    • Use AI-powered deepfake detection services
    • Check official source verification tools
    • Run suspicious media through multiple detectors
    • Understand tool limitations and confidence levels

    Practice Recognition

    Now that you understand deepfake indicators, test your skills:

    Complete Full Detection Walkthrough → Practice Trust Decisions →