Security Scan Report: nanoreview.net

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Submitted: Oct 16, 2025, 9:08:45 AMCompleted: Oct 16, 2025, 9:09:55 AMpubliccompleted

This website contacted 254 IPs in 9 countries across 93 domains to perform 370 HTTP transactions. The main domain is nanoreview.net and was registered 7 years ago.

Submitted URL: https://nanoreview.net/en/phone-compare/xiaomi-17-pro-max-vs-apple-iphone-17-pro-max

AI Security Verdict

Safe Website

Confidence: 85%

2
Risk Score

Legitimate comparison site with no immediate security concerns.

Risk Factors (2)
Excessive redirects detected (5 redirects)
Domain is UNRANKED in Cisco Umbrella while displaying Apple branding (brand mention without impersonation of login)
Safety Factors (4)
Established domain age
No malicious Indicators of Compromise
No credential or payment collection forms
Informational content only
Domain age information unavailable

Details

Page Title

Compare Xiaomi 17 Pro Max vs Apple iPhone 17 Pro Max: which is better? | NR

Scan Type

public

Domain Name Analysis

Domain 'nanoreview.net' uses the network infrastructure generic top-level domain (.net) while skipping any subdomain. The second-level label 'nanoreview' is 10 characters long split between 5 vowels and five consonants. It segments into 2 words: nano, review. Median word length is five characters. 'nano' most strongly signals English. It also appears in Italian and Vietnamese contexts.

Screenshot

Security scan screenshot of https://nanoreview.net/en/phone-compare/xiaomi-17-pro-max-vs-apple-iphone-17-pro-max

Page Load Overview

16.02s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:69,510 chars
Detector Agreement:100%

Website Classification

Primary Category

forum50% confidence
Type: webapp
Method: structural

All Detected Categories

forum
50%
e-commerce
40%

Detected Features

Products
Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
117188.42.34.65Luxembourg
AS7979SERVERS-COM
1108.128.110.245Dublin, Leinster, Ireland
AS16509AMAZON-02
1146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
131.172.81.146Germany
AS44066firstcolo GmbH
137.252.172.123Frankfurt am Main, Hesse, Germany
AS29990ASN-APPNEX
15.196.111.72France
AS16276OVH SAS
1162.19.138.117Frankfurt am Main, Hesse, Germany
AS16276OVH SAS
1184.28.88.244Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
191.228.74.244United Kingdom
AS16509AMAZON-02
123.212.88.20Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
370254--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196B4C631F840193FAA3B04C4E759DB1E71D6A31AF59A0410D2EA477C47E8E78F51E2AB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:XLsG2aF23rHbgfN46vEBdSfIIsCNbtfIH/jNKCQu3fo6kuGpJ38/Wer+0gTXVvic:XL0ONpsAbtCvdknGMcEhi+5mlfe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500282:cshgAiQJFpAzAIiUTRB0BcwhARCCEooymQYMcxWUEAwibSxHIB0CGBgUQDAASUgACM8SbRS08+0QwQRIUgwgAwGYKZkgyBoZ

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:0018383838380000
Perceptual Hash:884c32775977cc59
Difference Hash:0db1b3b3b3b33919
Wavelet Hash:003d3d3d3d3d1d0d
Color Hash:#2d8646

Scan History

Scan history not available

Unable to load historical scan data