Security Scan Report: article.wn.com

Submitted: Nov 15, 2025, 5:03:06 PMCompleted: Nov 15, 2025, 5:04:59 PMpubliccompleted
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Summary

This website contacted 75 IPs in 0 countries across 23 domains to perform 33 HTTP transactions. The main domain is article.wn.com and was registered NaN years ago.

Submitted URL: https://article.wn.com/view/2025/11/14/Mass_Lottery_Lucky_For_Life_Numbers_Midday_winning_numbers_f/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Domain age over 30 years (well‑established)
No malicious Indicators of Compromise matches found
No credential or payment forms on the page
Content appears to be a news aggregation of public lottery numbers
Domain age information unavailable

Details

Page Title

Mass Lottery Lucky For Life, Numbers Midday winning numbers for Nov. 13, 2025 - WorldNews

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

entertainment media

(90%)

Domain Information

You're looking at domain 'article.wn.com' on the commercial generic top-level domain (.com) and includes subdomain 'article'. Count 2 characters in 'wn' containing zero vowels alongside two consonants. Tokenizing the label suggests two words: w, n. The median word length lands at one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://article.wn.com/view/2025/11/14/Mass_Lottery_Lucky_For_Life_Numbers_Midday_winning_numbers_f/

Page Load Overview

67.85s
Total Load Time
33
HTTP Requests
23
Domains
1.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:52%
Script Type:Latin
Text Length:3,135 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media90% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
90%
gambling betting
90%
news media journalism
84%
cryptocurrency blockchain
63%
healthcare medical
47%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33157.240.0.6UnknownUnknown
091.228.74.200UnknownUnknown
0142.251.140.168UnknownUnknown
0142.250.181.238UnknownUnknown
0195.149.84.105UnknownUnknown
0195.149.84.78UnknownUnknown
0142.250.184.195UnknownUnknown
0142.251.140.174UnknownUnknown
091.228.74.166UnknownUnknown
0142.250.74.206UnknownUnknown
3375--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16B5319639BCC6027026383C98929720CA42F4037DA459E91F9BD469C3FC6FEA7D4E56D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:KEpUr50a2C+5z8vXspkyH59cz3kO9f7amGSn+6PyQpw0+xX1kUm8pWwQ9wpvqY/G:KC/8vXsKyH/cmG+TxXvqYUH4/O

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:63676:EBihAEfDMEKi9RyjhqAAECVQABdQhGIYOyEUUIEJqYtmqUgQG0EqbCQzz4APC5gAQGiIQqGgAAEwCgGOgmGERuK9RpmhAQSO

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:00fffffbffffff00
Perceptual Hash:ed67134747474343
Difference Hash:47363232223e2627
Wavelet Hash:0083c3fbfbc3f700
Color Hash:#d27992

Scan History

Scan history not available

Unable to load historical scan data