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Malicious URL Detection and Analysis Solution

AI-based technology
Malicious URL Analysis
Phishing Detection
Product Overview
AskURL is a malicious URL detection and analysis solution that combines artificial intelligence and specialized phishing algorithms. It analyzes webpages by accessing suspicious URLs. Through multi-layered algorithmic analysis and AI-based judgment, it precisely detects new and variant phishing attacks. This protects users and the service environment from malicious URLs entering the system through various channels, such as text messages, emails, and QR codes.

Key Advantages

01. Patents Registered in Korea, the U.S., and Japan
Method and Device for Detecting URLs Associated with Phishing Sites Using an AI Algorithm
02. AI-Based Unknown URL Analysis
In-depth URL analysis based on content and context, utilizing an AI model optimized for phishing detection
03. Preemptive Blacklist and Whitelist Classification
Preemptively classify verified benign and malicious URLs to improve analysis speed and accuracy
04. Comprehensive Analysis of 2,000+ Algorithms
Comprehensive analysis of domain, content, and behavioral information using multiple specialized algorithms
05. URL Analysis Based on Actual Access
Directly access suspicious URLs to analyze actual content, including HTML, scripts, and links

Core Functions

Phishing Site Detection and Analysis
Phishing Site Detection and Analysis Impersonating General Companies and Official Brands
Smishing (SMS) detection and analysis
Automatically extract links (URLs) within messages to detect and analyze smishing.
Qshing detection and analysis
Automatically extract URLs from QR codes to detect and analyze queuing.
Detection and analysis of harmful sites
Detection and analysis of various harmful sites, including fraudulent, illegal, gambling, and adult sites.
Malware distribution detection and analysis
Detecting C2 and malware distribution through precise URL analysis
Explanation of AI-based final judgment results
Using generative AI to provide judgment results in a form that is easy for users to understand.
Providing comprehensive detection information
Provides various analysis information such as scripts, IP, certificates, and titles.
API·Private environment provided
Support for various services and system integration through API, DataFeed, and dedicated environments.

Analysis Process

URL inflow stage BlackList/WhiteListDB DB-based URL detection URL detection algorithm Multidimensional URL analysis Artificial Intelligence (sLLM) Generative AI Explained URL detection and analysis results 1 Algorithm-based URL detection Hierarchical detection using 2,000+ specialized algorithms Malicious URL detection through webpage feature analysis Detection of new and variant URLs beyond existing databases 2 Generative AI-based detection and analysis Compiles analysis results for final judgment Provides risk types and judgment criteria Supports phishing, fraud, and malware URL analysis 4 AI-based URL analysis Analysis of unclassified URLs after DB and algorithm detection In-depth AI analysis based on content and context Detection of new and variant malicious URLs 3 URL detection using Whitelist/Blacklist DB Quickly identify known malicious URLs Improve efficiency by pre-classifying trusted URLs
URL inflow stage URL detection and analysis results AI-based URL analysis In-depth AI analysis based on content and context Detection of new and variant malicious URLs 2 Analysis of unclassified URLs after DB and algorithm detection Generative AI-based detection and analysis 4 Compiles analysis results for final judgment Provides risk types and judgment criteria Supports phishing, fraud, and malware URL analysis Hierarchical detection using 2,000+ specialized algorithms Malicious URL detection through webpage feature analysis Detection of new and variant URLs beyond existing databases DB-based URL detection 1 URL detection using Whitelist/Blacklist DB Quickly identify known malicious URLs Improve efficiency by pre-classifying trusted URLs Algorithm-based URL detection 3 BlackList/WhiteListDB URL detection algorithm Artificial Intelligence (sLLM) Generative AI Explained Multidimensional URL analysis

User Interface

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Contact

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CEOsKei Choi, ChungHo Park
Phone NumberRep : 02-2671-3344 / Support : 02-2671-2888
Emailsales1@nurilab.com
Address(07228) #1305-#1306, 220, Yeongsin-ro, Yeongdeungpo-gu, Seoul, Republic of Korea (KnK Digital Tower)
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