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Screenshots

  • AdverseVideo Detector AI screenshot 1
  • AdverseVideo Detector AI screenshot 2
  • AdverseVideo Detector AI screenshot 3
  • AdverseVideo Detector AI screenshot 4

About AdverseVideo Detector AI

AdverseVideo Detector AI is a research-backed platform that analyzes video content for potential cybersecurity threat indicators. Built on peer-reviewed research published at the IEEE International Conference on Intelligence and Security Informatics. FEATURES: - Multimodal AI analysis using GPT-4 Vision and Whisper - Frame-by-frame visual threat detection - Audio transcript analysis for suspicious keywords - Comprehensive risk scoring (0-100 scale) - Detailed threat assessment reports DESIGNED FOR: - Academic researchers studying cyber threats - Cybersecurity professionals conducting content analysis - Educational institutions teaching security awareness - Security teams monitoring online threat content HOW IT WORKS: 1. Submit a YouTube video URL 2. AI analyzes video frames, audio, and metadata 3. Receive comprehensive threat assessment 4. Review detailed findings and risk score TECHNOLOGY: - Advanced computer vision (GPT-4 Vision) - Speech-to-text analysis (OpenAI Whisper) - Custom threat detection algorithms - Research-validated risk scoring For educational and research purposes. Based on published academic research in cyber threat intelligence.

Ratings & reviews

5.0

46 ratings

5 ★ 100% 4 ★ 0% 3 ★ 0% 2 ★ 0% 1 ★ 0%

What’s new

Version 1.1.0 · Updated March 20, 2026

Added a new Threat Intelligence section with curated, real-world cyber threat reports related to malicious video campaigns. Improved analysis results with clearer risk presentation, including video details, warnings, frame-by-frame findings, and text analysis in one view. Enhanced app navigation and tab experience for faster access to Analyze, Threats, Impact, and More. Improved performance and reliability for video analysis requests, including better handling of loading states and network errors. General UI polish and stability improvements.

App privacy

The developer, Bingyan Du, reported these privacy practices to Apple.

Data Not Linked to You

The following data, which may be collected but is not linked to your identity, may be used for the following purposes:

  • Usage Data: Other Usage Data

Used for: Analytics, App Functionality

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