Summary
API
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%
Legitimate comparison site with no immediate security concerns.
Risk Factors (2)
Safety Factors (4)
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

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 117 | 188.42.34.65 | Luxembourg | AS7979SERVERS-COM |
| 1 | 108.128.110.245 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 146.75.122.132 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 31.172.81.146 | Germany | AS44066firstcolo GmbH |
| 1 | 37.252.172.123 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 1 | 5.196.111.72 | France | AS16276OVH SAS |
| 1 | 162.19.138.117 | Frankfurt am Main, Hesse, Germany | AS16276OVH SAS |
| 1 | 184.28.88.244 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 91.228.74.244 | United Kingdom | AS16509AMAZON-02 |
| 1 | 23.212.88.20 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 370 | 254 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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