Summary
This website contacted 188 IPs in 4 countries across 59 domains to perform 254 HTTP transactions. The main domain is comingsoon.net and was registered NaN years ago.
Submitted URL: https://www.comingsoon.net/guides/news/1841998-emma-navarro-dating-boyfriend-relationship-history
The Cisco Umbrella rank of the primary domain is #168,616 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Who is Emma Navarro Dating? Boyfriend & Relationship History Explained
Scan Type
public
Language
English
Category
news/blog
(35%)Domain Information
The domain name 'www.comingsoon.net' uses the network infrastructure generic top-level domain (.net) with subdomain 'www'. Count 10 characters in 'comingsoon' with four vowels and six consonants. Segmentation suggests 2 words: coming, soon. Expect 5 characters per word on average. 'coming' most strongly signals English. It also appears in Chinese (Pinyin) and Sinhala contexts. Taken together, it feels English.
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 |
|---|---|---|---|
| 67 | 18.66.102.70 | United States | AS16509AMAZON-02 |
| 1 | 3.161.82.74 | United States | AS16509AMAZON-02 |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 142.250.186.98 | United States | AS15169GOOGLE |
| 1 | 23.45.96.101 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 64.202.112.191 | United States | AS22075AS-OUTBRAIN |
| 1 | 34.110.236.186 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 18.66.102.63 | United States | AS16509AMAZON-02 |
| 1 | 23.32.97.240 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 172.217.23.104 | United States | AS15169GOOGLE |
| 254 | 188 | - | - |
Detected Technologies7
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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