Fake and cloned apps steal data, spread malware & deceive users using obfuscation. Detecting them is key to securing banking, healthcare & other sectors while ensuring user trust.
Fake and cloned apps pose a serious cybersecurity threat by mimicking legitimate applications to deceive users, steal sensitive data, and distribute malware. These apps often bypass traditional security measures through advanced obfuscation techniques, adaptive behavior, and distributed hosting. Cybercriminals use phishing links, unofficial app stores, and modified versions of real apps to spread these threats.
As mobile applications power essential industries like banking, healthcare, and e-commerce, the presence of such counterfeit apps compromises user safety, privacy, and trust. Detecting and mitigating these threats requires proactive security measures, advanced threat intelligence, and AI-driven detection techniques to safeguard ecosystems from malicious exploitation.
EXISTING SOLUTIONS ARE NOT THAT EFFECTIVE BECAUSE:
1)They don’t have real time monitoring.
2)Uses traditional methods of detection like mainly malware scanning.
3)Don’t have alerting methods.
4)They cant detect the hidden permissions.
As we can see that:
1)Google Play protect: Only scans Google Play, misses third-party stores.
2)Antivirus apps ( AVG,McAfree): Focus on malware , not detection clones.
3)Manual reporting: Slow and requires user complaints.
Unique Features
1) AI-Powered Detection
2) Code Similarity Analysis
3) Dynamic Behavior Analysis
4) Obfuscation Resistance
5) Distributed Threat Intelligence
6) Real-Time App Verification
7) Cross-Platform Detection
Progress During Hackathon : Fake and clone app Detection Real time app monitoring of app's Alert and Reporting data security we will be also implementing some part (in progress) Website URL & Phishing Analysis , Threat Intelligence , Deepfake Image Detection, Voice Deepfake Detection
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