Facial Boundary Artifacts
Detects blending seams, flickering edges, and unnatural transitions around the face region where the deepfake overlay meets the original frame.
Video Call Fraud
Detect Deepfake Video Call Scams
Fraudsters use AI to impersonate executives, colleagues, and family members on live video calls. Verify recordings and clips before acting on urgent requests.
Deepfake Detection
CEO Fraud Prevention
Real-Time Analysis
Drag & drop a video here
or click to browse files
Supported formats: MP4, MOV, AVI, WebM
Maximum file size: 500MB
Privacy-first: Your videos are never stored
Understanding the Threat
Anatomy of a Deepfake Video Call Scam
These attacks follow a predictable playbook that targets trust and urgency within organizations.
- 1
Target Research
Attackers harvest publicly available video of executives from earnings calls, interviews, social media, and conference recordings to build training data for the deepfake model.
- 2
Deepfake Generation
Using face-swap and voice-clone tools, attackers create a real-time deepfake that mimics the target executive on a live video call or in a pre-recorded message.
- 3
Urgent Request
The fake executive contacts a finance team member or subordinate via video call, requesting an urgent wire transfer, credential share, or sensitive data export.
- 4
Extraction
Funds are wired to attacker-controlled accounts or credentials are harvested before anyone questions the legitimacy of the call.
Detection Technology
What Our Detector Analyzes
Our AI examines multiple signal layers to identify synthetic video content in call recordings.
Lip-Sync Consistency
Measures alignment between mouth movements and the audio waveform, catching delays and mismatches that deepfake generators struggle to eliminate.
Temporal Coherence
Analyzes frame-to-frame consistency in lighting, head pose, and eye gaze to detect sudden jumps and warping artifacts across the video timeline.
Compression Fingerprints
Examines codec-level artifacts and encoding patterns that differ between native video capture and AI-generated or re-encoded synthetic footage.
Why It Matters
Real-World Impact
Deepfake video call scams represent one of the fastest-growing categories of corporate fraud. In early 2024, a multinational finance firm lost $25 million after an employee was deceived by a deepfake video call impersonating the company CFO. The FBI has warned that business email compromise schemes increasingly leverage real-time deepfakes, and fraud losses from impersonation scams continue to climb year over year.
Step-by-Step Guide
How to Verify a Suspicious Video Call
Follow these steps to authenticate a recorded video call or clip before acting on financial or sensitive requests.
1
Record or Obtain the Clip
Save the video call recording or suspicious clip from the conferencing platform.
Most enterprise video platforms allow meeting recordings. If you received a pre-recorded message, save the file directly.
2
Upload for AI Analysis
Upload the video to our detector for multi-layer deepfake analysis.
We analyze visual, audio, and temporal signals simultaneously. Your video is processed securely and never stored.
3
Review the Detection Report
Examine the AI confidence score and signal breakdown for each detection layer.
A high score indicates likely synthetic content. Pay attention to which specific signals flagged anomalies.
4
Verify Through a Separate Channel
Contact the person through a known, separate communication channel to confirm the request.
Call their verified phone number or meet in person. Never rely solely on the same channel the suspicious request came through.
Frequently Asked Questions
Can your tool detect deepfakes in real-time video calls?
Our tool analyzes recorded video clips and call recordings. For real-time protection, we recommend recording suspicious calls and uploading them for analysis. Live detection is an area of active development.
How accurate is deepfake video call detection?
Detection accuracy varies by the sophistication of the deepfake. Our system achieves high accuracy against current-generation face-swap tools and voice cloners. We continuously update our models as new deepfake techniques emerge.
What video formats are supported for call recordings?
We support MP4, MOV, WebM, and AVI formats up to 1GB. Most video conferencing platforms export recordings in compatible formats.
How can our organization protect against video call deepfakes?
Implement verification protocols for financial requests, require multi-channel confirmation for large transactions, train employees to recognize deepfake indicators, and use AI detection tools to verify suspicious calls.
Are the uploaded video calls stored on your servers?
No. We operate on a privacy-first basis. Videos are analyzed and immediately discarded. Only metadata such as the detection score and timestamp is saved if you are signed in.
What should I do if I suspect a deepfake video call scam?
Do not act on the request. Save the recording and upload it for analysis. Contact the supposed caller through a verified separate channel. Report the incident to your IT security team and, if financial loss occurred, to law enforcement.
Related Use Cases
News Verification
Synthetic News Footage Detection
AI-generated news broadcasts and fake press conferences are undermining public trust. Verify video footage before it spreads.
Social Media SafetySocial Media Deepfake Detection
Face-swap videos, fake celebrity endorsements, and AI-generated clips flood social media. Verify what you see before you share or believe it.