FraudEyes Forensics
FraudEyes Forensics utilizes advanced forensic analysis, reverse engineering, and real-time intelligence to uncover fraudulent activities and cyber threats.
Core Forensic Capabilities
Static Code Analysis
Examines APKs for obfuscation, hidden payloads, and vulnerabilities.
- Automated Unpacking & Decryption
- Disassembly & Decompilation
- Hardcoded Credential Extraction
Dynamic Execution Analysis
Runs applications in a secure environment to observe runtime behaviors.
- Sandbox Execution & Memory Forensics
- Encrypted Network Traffic Capture
- Anti-Evasion Countermeasures
Reverse Engineering
Deconstructs apps to detect hidden logic and potential exploits.
- Code Obfuscation Removal
- Symbolic Execution & CFG Analysis
- Embedded Cryptography Analysis
Global Threat Intelligence
Leverages real-time intelligence to detect and prevent cyber fraud.
- Machine Learning Threat Detection
- IoC (Indicators of Compromise) Correlation
- Fraudulent Domain & IP Reputation Scoring
How It Works
FraudEyes follows a structured forensic analysis workflow:
1
Data Collection
Acquires APKs through manual uploads for analysis. Additionally, network traffic and system logs are gathered from real-world cases to detect fraud patterns.
2
Static & Dynamic Analysis
Uses advanced algorithms to reverse-engineer apps and simulate behaviors.
3
Threat Intelligence Correlation
Cross-references findings with global cybercrime databases.
4
Reporting & Incident Response
Generates forensic reports and provides countermeasure strategies.