Security Scan Report: www.makeuseof.com

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Submitted: Oct 29, 2025, 7:51:23 AMCompleted: Oct 29, 2025, 7:53:18 AMpubliccompleted

Summary

This website contacted 170 IPs in 6 countries across 46 domains to perform 147 HTTP transactions. The main domain is makeuseof.com and was registered 20 years ago.

Submitted URL: https://www.makeuseof.com/this-netflix-show-getting-slammed-cant-wait-for-new-season/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established, long‑standing domain
No suspicious forms or data collection
Content is a standard editorial article
Domain age information unavailable

Details

Page Title

This Netflix show is getting slammed — but I can't wait for the new season

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(83%)

Domain Information

The domain name 'www.makeuseof.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Count 9 characters in 'makeuseof' with 5 vowels and 4 consonants. Splitting it apart reveals three words: make, use, of. Median word length is 3 characters. 'make' most often appears in Chinese (Pinyin). You will also see it in English and Basque contexts. Taken together, it feels Chinese (Pinyin).

Screenshot

Security scan screenshot of a.ad.gt

Page Load Overview

33.53s
Total Load Time
147
HTTP Requests
46
Domains
1.4 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:11,052 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media83% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
83%
news/blog
50%
adult content
45%
news media journalism
42%
forum
35%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
0142.250.186.170United States
AS15169GOOGLE
034.200.0.244Ashburn, Virginia, United States
AS14618AMAZON-AES
0142.250.186.131United States
AS15169GOOGLE
0142.250.186.66United States
AS15169GOOGLE
064.233.184.154United States
AS15169GOOGLE
0104.20.35.150United States
AS13335CLOUDFLARENET
054.157.137.27Ashburn, Virginia, United States
AS14618AMAZON-AES
0130.211.23.194United States
AS396982GOOGLE-CLOUD-PLATFORM
0108.138.3.93United States
AS16509AMAZON-02
018.245.31.65United States
AS16509AMAZON-02
147170--

Page Statistics

147
Requests
49
Unique Domains
2.7 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D064F5A660EA61B7026B10F471367389AA53C227F9099AD0B2FC43C85FCAF575E1353D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:VwwwsG5yT6C2VOXmVHXHfE3QFuKzThqNmp3c3Q3rBSr3WRbKmKAyE:VwwwsrT6C2VVfE3QFuKzThqNmp3c3Q3P

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:326668:LSC4sC0ihllEjANAQgVEGBfxiZ5AMSyBwGLwAjICATiI2A0DQCHiAiNjDisKAQwGAIbQwBMAwFvKc2NZZpyzAEwH4AQKqDAu

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:008199bdbd9981ff
Perceptual Hash:c94736399c1c9b56
Difference Hash:b20b2333333b0778
Wavelet Hash:008199bdbd9981ff
Color Hash:#87c5bb

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data