Summary
API
This website contacted 4 IPs in 2 countries across 5 domains to perform 297 HTTP transactions. The main domain is atozsurgcialhouse.store and was registered 2 months ago.
Submitted URL: http://atozsurgcialhouse.store/
Effective URL:
AI Security Verdict
High Risk
Confidence: 80%
New site with login forms and heavy JS obfuscation; high risk of credential phishing.
Risk Factors
Details
Page Title
atozsurgcialhouse.store
Scan Type
public
Domain Name Analysis
The domain 'atozsurgcialhouse.store' uses the .store top-level domain without a subdomain. Its registrable label 'atozsurgcialhouse' stretches across 17 characters holding 8 vowels versus 9 consonants. It segments into six words: at, oz, sur, gci, al, house. Median word length is 2.5 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 |
|---|---|---|---|
| 75 | 162.144.13.127 | Phoenix, Arizona, United States | AS31898Oracle Corporation |
| 74 | 147.93.17.122 | Mumbai, Maharashtra, India | AS47583Hostinger International Limited |
| 74 | 142.250.154.95Google · CDN | United States | AS15169Google LLC |
| 74 | 104.17.25.14Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 297 | 4 | - | - |
Detected Technologies9
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
Scan History
Scan history not available
Unable to load historical scan data