Summary
This website contacted 119 IPs in 5 countries across 33 domains to perform 192 HTTP transactions. The main domain is finance-monthly.com and was registered NaN years ago.
Submitted URL: https://www.finance-monthly.com/today-show-halloween-2025-guthrie-hager-vogue-costumes/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news article with no security concerns.
Safety Factors
Details
Page Title
Today Show 2025: Guthrie & Hager’s Vogue Halloween
Scan Type
public
Language
English
Category
entertainment media
(84%)Domain Information
The domain name 'www.finance-monthly.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The second-level label 'finance-monthly' is 15 characters long containing four vowels alongside ten consonants; it also includes 1 hyphen. Breaking it apart gives two words: finance, monthly. Median word length comes out to seven characters. The linguistic tilt is English for 'finance'. You will also see it in Chinese (Pinyin) and Czech 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 |
|---|---|---|---|
| 74 | 104.17.197.65 | United States | AS13335CLOUDFLARENET |
| 50 | 104.17.200.65 | United States | AS13335CLOUDFLARENET |
| 49 | 138.68.133.21 | Slough, England, United Kingdom | AS14061DIGITALOCEAN-ASN |
| 18 | 142.251.140.163 | United States | AS15169GOOGLE |
| 8 | 142.251.140.174 | United States | AS15169GOOGLE |
| 7 | 52.11.126.121 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 6 | 108.138.26.19 | United States | AS16509AMAZON-02 |
| 6 | 172.64.153.183 | United States | AS13335CLOUDFLARENET |
| 4 | 216.58.206.66 | United States | AS15169GOOGLE |
| 3 | 23.32.238.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 192 | 119 | - | - |
Detected Technologies5
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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