FraudEyes Forensics
FraudEyes Forensics utilizes advanced forensic analysis, reverse engineering, and real-time intelligence to uncover fraudulent activities and cyber threats.
APK Security Analysis
Core Forensic Capabilities
Comprehensive Techniques for Analyzing Malicious Code, Detecting Threats, and Enhancing Cyber Defense
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.