Summary
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 NaN 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
Safety Factors
Details
Website Access Blocked
This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.
Page Title
Just a moment...
Scan Type
public
Language
English
Category
forum
(50%)Domain Information
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)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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