Summary
This website contacted 255 IPs in 7 countries across 69 domains to perform 267 HTTP transactions. The main domain is billboardphilippines.com and was registered NaN years ago.
Submitted URL: https://billboardphilippines.com/music/news/charlie-puth-welcomes-baby-with-new-single-changes-announces-new-album/
AI Security Verdict
Safe Website
Confidence: 93%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
Charlie Puth Welcomes Baby With New Single, Announces New Album
Scan Type
public
Language
English
Category
entertainment media
(77%)Domain Information
Domain 'billboardphilippines.com' uses the commercial generic top-level domain (.com). The core label 'billboardphilippines' covers 20 characters split between 7 vowels and 13 consonants. Word splitting yields 2 words: billboard, philippines. Median word length is ten characters. 'billboard' most often appears in English. It also appears in Chinese (Pinyin) and Vietnamese contexts. Net impression: English phrase.
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 |
|---|---|---|---|
| 65 | 104.26.1.179 | United States | AS13335CLOUDFLARENET |
| 17 | 172.217.23.110 | United States | AS15169GOOGLE |
| 10 | 172.217.18.2 | United States | AS15169GOOGLE |
| 8 | 142.250.186.46 | United States | AS15169GOOGLE |
| 7 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 7 | 104.18.17.140 | United States | AS13335CLOUDFLARENET |
| 7 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 142.250.186.130 | United States | AS15169GOOGLE |
| 6 | 23.35.229.56 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 6 | 18.184.141.110 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 267 | 255 | - | - |
Detected Technologies13
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
Scan history not available
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