DGA Detector

Detect algorithmically generated domains using advanced machine learning

Analyze Domain

Domain Name Enter a domain name to analyze for DGA patterns

DGA Probability

domain.com

Feature Analysis

Risk Factors

Legitimate Indicators

Detailed Metrics

Shannon Entropy:	-
Domain Length:	-
Consonant Ratio:	-

Pronounceable Score:	-
Digit Ratio:	-
Character Diversity:	-

Try These Examples

High DGA Risk

xjfkdslajfkdsl.com

Random characters, high entropy

Legitimate Domain

google.com

Pronounceable, low entropy

Medium DGA Risk

abc123xyz456.com

Mixed alphanumeric pattern

About DGA Detection

Domain Generation Algorithms (DGAs) are used by malware to generate large numbers of domain names for command and control (C2) servers. Our AI-powered detector uses advanced machine learning models to identify these algorithmically generated domains with over 99% accuracy.

Detected DGA Families:

Conficker Cryptolocker Suppobox Matsnu Emotet TrickBot QakBot +50 more