Security Scan Report: www.techloy.com

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Submitted: Oct 16, 2025, 8:56:30 AMCompleted: Oct 16, 2025, 8:57:47 AMpubliccompleted
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Summary

This website contacted 86 IPs in 3 countries across 27 domains to perform 79 HTTP transactions. The main domain is techloy.com and was registered NaN years ago.

Submitted URL: https://www.techloy.com/xiaomi-17-pro-max-vs-iphone-17-pro-max/

AI Security Verdict

Low Risk

Confidence: 58%

2
Risk Score

Legitimate tech article; low risk despite brand mention on an unranked domain.

Risk Factors
Brand impersonation (Apple/iPhone) on an unranked domain
Safety Factors
Established domain with long registration history
Only newsletter email collection (no sensitive data)
Content is a standard product comparison article
Domain age information unavailable

Details

Page Title

Xiaomi 17 Pro Max vs iPhone 17 Pro Max

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(100%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.techloy.com' is registered with subdomain 'www'. The second-level label 'techloy' is 7 characters long with 2 vowels and 5 consonants. Breaking it apart gives three words: tech, lo, y. Expect two characters per word on average. 'tech' most strongly signals Spanish. You will also see it in Italian and French contexts.

Screenshot

Security scan screenshot of https://www.techloy.com/xiaomi-17-pro-max-vs-iphone-17-pro-max/

Page Load Overview

30.88s
Total Load Time
79
HTTP Requests
27
Domains
3.6 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:14,886 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog100% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
100%
corporate
70%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
79216.239.32.36United States
AS15169GOOGLE
0142.250.181.226United States
AS15169GOOGLE
0142.250.186.99United States
AS15169GOOGLE
0146.75.123.7Frankfurt am Main, Hesse, Germany
AS54113FASTLY
0146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
0142.250.186.67United States
AS15169GOOGLE
0142.250.185.78United States
AS15169GOOGLE
0104.16.175.226United States
AS13335CLOUDFLARENET
0142.250.186.132United States
AS15169GOOGLE
0142.250.186.131United States
AS15169GOOGLE
7986--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T144E3F6B6B1E811AF91138296B2E6379CBE128013FE4999F5F1FCC7549F82E97112B41C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OUduUbVwJdTf62hLRj69v66B7WOdtddNtIYII4F/s8MM8IjzDDz0mUcYMUC0YFJg:xEUb6hLh0v5B7OM4o

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:148454:EJAHSYYLuQCQBKJKTIACJR0ArLAAD44CgNQExAMEQgFG7tyUmRKx2CSRwAAFTbAqKQgEGEQgDCMgjZKNF2AJIAFkldkDBwsq

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:00ff89818999ffff
Perceptual Hash:b979c64638316d4d
Difference Hash:cd0b3333333b140f
Wavelet Hash:00ff81818181ffff
Color Hash:#87abc5

Scan History

Scan history not available

Unable to load historical scan data