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Security Scan Report: www.comingsoon.net

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/63f7a8f1-b9d3-4905-865d-b6cb27dad155Domain and IP registration (RDAP)/api/v1/rdap/63f7a8f1-b9d3-4905-865d-b6cb27dad155How often this domain was scanned/api/v1/domain/stats/comingsoon.netScan history for this domain/api/v1/domain/history/comingsoon.net?limit=15
This website contacted 188 IPs in 4 countries across 60 domains to perform 254 HTTP transactions. The main domain is comingsoon.net and was registered 28 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%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors (2)
Established domain with long registration history
Standard search form only, no sensitive data collection
Domain age information unavailable

Details

Page Title

Who is Emma Navarro Dating? Boyfriend & Relationship History Explained

Scan Type

public

Domain Name Analysis

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

GLENMNe ey TES We Gv WIES GiSev (COMINGSOON;1 @ We value your privacy "Recept alt (Ginna? ) ( purroses ) (1662 PARTNERS: Do you consent to these personal data processing activities by us and our p...

Page Load Overview

111.23s
Total Load Time
4.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:6,210 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog35% confidence
Type: static
Method: ml+structural

All Detected Categories

news/blog
35%
social media network
26%
news
15%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6718.66.102.70United States
AS16509AMAZON-02
13.161.82.74United States
AS16509AMAZON-02
1216.239.32.36United States
AS15169GOOGLE
1142.250.186.98United States
AS15169GOOGLE
123.45.96.101Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
164.202.112.191United States
AS22075AS-OUTBRAIN
134.110.236.186Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
118.66.102.63United States
AS16509AMAZON-02
123.32.97.240Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1172.217.23.104United States
AS15169GOOGLE
254188--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B11408FA832851FC664F67E9EF396558730F90FDFB4582C0929CCA58D6C3E84E542A48

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:YVGW0nHbY6gYwrMskHvFN0c14MV3GWKJcCQopQM+hKq2nJfXwhxJGnt8Imcp3g55:YVGW61Lwy6fXxZiaKbzPbyCgYGE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:199456:ggAUCVU2AQbKBAAgAOaAWMDCIgDSAVqJxQUNEoGc2SABghEEwkAjiO6bgg2ABWUJEFACEFF6MQEFKBKqbAOsFCkkcABNCXGB

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

Average Hash:00ff9f9f9f97fffb
Perceptual Hash:bc1a61634f533c3c
Difference Hash:c93c3038282c1836
Wavelet Hash:00ff8f9f1f070701
Color Hash:N/A

Other Hashes

Crop Resistant:c93c3038282c1836,01a997d8d897a901,cfddedcefd5c1cd8

Scan History

Scan history not available

Unable to load historical scan data