Summary
API
Submitted URL: https://eng.moboreels.com/kc6a6/311CBJ
The Cisco Umbrella rank of the primary domain is #240,654 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 86%
A multi-year-old fiction/drama site serving its own branded serialized story. No forms, no threat-intel hits, no malware or obfuscated script signals — no evidence of abuse.
Safety Factors (5)
Details
Page Title
Don't Wake My Husband
Scan Type
public
Domain Name Analysis
The domain name 'eng.moboreels.com' uses the commercial generic top-level domain (.com), featuring subdomain 'eng'. Its registrable label 'moboreels' stretches across 9 characters split between 4 vowels and five consonants. Word splitting yields two words: mobo, reels. Median word length comes out to 4.5 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 |
|---|---|---|---|
| 7 | 2.18.66.40Akamai · CDN | Berlin, State of Berlin, Germany | AS20940Akamai International B.V. |
| 0 | 23.44.215.209Akamai · CDN | Prague, Prague, Czech Republic | AS20940Akamai International B.V. |
| 0 | 23.44.215.195Akamai · CDN | Prague, Prague, Czech Republic | AS20940Akamai International B.V. |
| 0 | 23.44.215.193Akamai · CDN | Prague, Prague, Czech Republic | AS20940Akamai International B.V. |
| 0 | 95.100.248.133Akamai · CDN | Berlin, State of Berlin, Germany | AS20940Akamai International B.V. |
| 0 | 154.206.64.126 | Hong Kong, Hong Kong | AS138915Kaopu Cloud HK Limited |
| 0 | 23.44.215.208Akamai · CDN | Prague, Prague, Czech Republic | AS20940Akamai International B.V. |
| 0 | 23.44.215.184Akamai · CDN | Prague, Prague, Czech Republic | AS20940Akamai International B.V. |
| 7 | 8 | - | - |
Detected Technologies2
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
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