Security Scan Report: wlos.com

Redirected to: https://wlos.com/news/entertainment/gallery/liam-hemsworth-leads-the-battle-for-the-continent-in-the-witcher-season-4-trailer?photo=1

Submitted: Oct 9, 2025, 7:12:56 AMCompleted: Oct 9, 2025, 7:14:52 AMpubliccompleted
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Summary

This website contacted 182 IPs in 6 countries across 61 domains to perform 214 HTTP transactions. The main domain is wlos.com and was registered NaN years ago.

Submitted URL: https://wlos.com/news/entertainment/gallery/liam-hemsworth-leads-the-battle-for-the-continent-in-the-witcher-season-4-trailer

Effective URL: https://wlos.com/news/entertainment/gallery/liam-hemsworth-leads-the-battle-for-the-continent-in-the-witcher-season-4-trailer?photo=1Redirected

The Cisco Umbrella rank of the primary domain is #195,849 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain with long registration history
No suspicious forms or data collection
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Liam Hemsworth leads the battle for the continent in 'The Witcher' season 4 trailer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

Domain 'wlos.com' uses the commercial generic top-level domain (.com) without a subdomain. Count 4 characters in 'wlos' split between 1 vowel and 3 consonants. It segments into two words: w, los. Median word length comes out to 2 characters. Most frequently, 'w' shows up in Polish. Usage also turns up in Spanish and German contexts.

Screenshot

Security scan screenshot of https://wlos.com/news/entertainment/gallery/liam-hemsworth-leads-the-battle-for-the-continent-in-the-witcher-season-4-trailer

Page Load Overview

50.10s
Total Load Time
214
HTTP Requests
61
Domains
3.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:10,253 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
government public service
63%
entertainment media
58%
documentation technical
52%
news media journalism
51%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33142.250.186.98United States
AS15169GOOGLE
113.33.187.73New York, New York, United States
AS16509AMAZON-02
1178.250.1.38France
AS44788Criteo Technology SAS
134.36.209.34Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
118.244.18.122United States
AS16509AMAZON-02
164.233.167.84United States
AS15169GOOGLE
152.210.13.133Dublin, Leinster, Ireland
AS16509AMAZON-02
1146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
13.160.150.63United States
AS16509AMAZON-02
134.98.64.218Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
214182--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14E64A4F404402E7FE85787AB7749A116B31AB2AFEF89D40E71D106DB26CE583484EF85

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5meAkBihOIm+NGo3OO7z1rCy/yiV+mfkdYGHG:MOIm+NGo3OO/1rCy/yi3fkFHG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:308648:JAEIIqADhKABABx0BKBAc7gRTAWEnaKHHUH44QgKKjJIYxIAYFyFXAKMwFQcEpIMFeFsjAhkUlACEARgCwplAgA44AhADORw

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:183c3c3c3c3c3c3c
Perceptual Hash:8b29259f747264ce
Difference Hash:6969696971796971
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#53ac8d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data