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

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--

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