Summary
API
This website contacted 4 IPs in 3 countries across 3 domains to perform 13 HTTP transactions. The main domain is saggang.com and was registered 21 years ago.
Submitted URL: https://saggang.com
AI Security Verdict
High Risk
Confidence: 75%
Single-source malware Indicators of Compromise match on primary domain plus spam/darknet/crypto content. No credential forms, but treat as high-risk and avoid interaction.
Risk Factors
Details
Page Title
사깡 블로그 -
Scan Type
public
Domain Name Analysis
Domain 'saggang.com' uses the commercial generic top-level domain (.com) without a subdomain. The second-level label 'saggang' is 7 characters long with 2 vowels and five consonants. Breaking it apart gives two words: sag, gang. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 4 | 192.178.183.95Google · CDN | United States | AS15169Google LLC |
| 3 | 193.233.210.85 | Amsterdam, North Holland, Netherlands | AS210644Aeza Group LLC |
| 3 | 158.247.254.248 | Seoul, Seoul, South Korea | AS20473The Constant Company, LLC |
| 3 | 142.250.154.95Google · CDN | United States | AS15169Google LLC |
| 13 | 4 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data