Summary
This website contacted 216 IPs in 5 countries across 111 domains to perform 592 HTTP transactions. The main domain is goodhousekeeping.com and was registered NaN years ago.
Submitted URL: https://www.goodhousekeeping.com/entertainment/celebrity-news/a60607226/mark-consuelos-live-hosting-2024-news-podcast-comment/
The Cisco Umbrella rank of the primary domain is #62,796 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate content with no security concerns.
Safety Factors
Details
Page Title
The Surprising Reason Mark Consuelos Agreed to Join Kelly Ripa as 'Live' Co-Host
Scan Type
public
Language
English
Category
entertainment media
(63%)Domain Information
Within the commercial generic top-level domain (.com), 'www.goodhousekeeping.com' is registered, featuring subdomain 'www'. Count 16 characters in 'goodhousekeeping' holding eight vowels versus eight consonants. Breaking it apart gives 2 words: good, housekeeping. Median word length comes out to 8 characters. 'good' most often appears in Chinese (Pinyin). You will also see it in English and Tagalog contexts.
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 |
|---|---|---|---|
| 186 | 146.75.120.155 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 162 | 37.252.172.123 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 62 | 172.217.18.2 | United States | AS15169GOOGLE |
| 41 | 18.66.102.63 | United States | AS16509AMAZON-02 |
| 38 | 142.250.186.161 | United States | AS15169GOOGLE |
| 28 | 157.240.0.63 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 15 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 9 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 9 | 13.33.187.73 | New York, New York, United States | AS16509AMAZON-02 |
| 7 | 185.89.210.20 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 592 | 216 | - | - |
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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