Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is scu0ktbifcd18865959-cpos.su.retail.dynamics.com and was registered NaN years ago.
Submitted URL: https://scu0ktbifcd18865959-cpos.su.retail.dynamics.com
The Cisco Umbrella rank of the primary domain is #3,900 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with strong reputation signals and no malicious activity detected.
Safety Factors
Details
Page Title
Dynamics Retail POS
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Domain 'scu0ktbifcd18865959-cpos.su.retail.dynamics.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'scu0ktbifcd18865959-cpos.su.retail'. The core label 'dynamics' covers 8 characters split between two vowels and 6 consonants. Segmentation suggests 1 word: dynamics. 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 |
|---|---|---|---|
| 71 | 13.89.172.10 | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 70 | 20.50.88.233 | United States | |
| 141 | 2 | - | - |
Detected Technologies4
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