Summary
This website contacted 259 IPs in 9 countries across 125 domains to perform 325 HTTP transactions. The main domain is moms.com and was registered NaN years ago.
Submitted URL: https://www.moms.com/zootopia-movie-release-date-story-details-trailer-news/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate site; no significant security concerns.
Safety Factors
Details
Page Title
Zootopia 2: Movie Release Date, Story Details, Trailers
Scan Type
public
Language
English
Category
entertainment media
(66%)Domain Information
You're looking at domain 'www.moms.com' on the commercial generic top-level domain (.com) and includes subdomain 'www'. The registrable portion 'moms' spans 4 characters holding one vowel versus 3 consonants. Segmentation suggests one word: moms. 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 |
|---|---|---|---|
| 34 | 185.111.111.158 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 14 | 15.204.162.93 | Reston, Virginia, United States | AS16276OVH SAS |
| 11 | 104.20.47.80 | United States | AS13335CLOUDFLARENET |
| 10 | 23.35.229.251 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 10 | 34.149.50.64 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 9 | 185.111.111.154 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 8 | 18.207.67.123 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 7 | 142.250.74.198 | United States | AS15169GOOGLE |
| 7 | 34.49.146.131 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 104.18.27.216 | United States | AS13335CLOUDFLARENET |
| 325 | 259 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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