Security Scan Report: nono0722.top

Redirected to: https://nono0722.top/

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Submitted: Jan 19, 2026, 2:42:07 PMCompleted: Jan 19, 2026, 2:43:19 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 20 HTTP transactions. The main domain is nono0722.top and was registered NaN years ago.

Submitted URL: http://nono0722.top/

Effective URL: https://nono0722.top/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Domain is newly registered (7 days old) but shows no malicious activity
No forms collecting sensitive data
No known malicious Indicators of Compromise
No external links or redirects to suspicious sites
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

healthcare medical

(98%)

Domain Information

The domain name 'nono0722.top' uses the .top top-level domain while skipping any subdomain. The registrable portion 'nono0722' spans 8 characters containing 2 vowels alongside two consonants; it also includes 4 digits. It segments into two words: nono, 0722. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://nono0722.top/

Page Load Overview

3.13s
Total Load Time
20
HTTP Requests
2
Domains
6.2 MB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
Text Length:842 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical98% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
98%
government public service
80%
news media journalism
69%
adult content
66%
documentation technical
54%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1018.139.243.42Singapore, Singapore
AS16509AMAZON-02
10104.26.5.85United States
AS13335CLOUDFLARENET
202--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17332647794E1297B0092D0C1B2B13B295DC6660BCED21E42BBFC469A4FC9D4DC4A394F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:RQcmmVNQ8b3M1+BpFsMoMU3cM8vcM2FeFJM1l3SRh6j:ScmmVNQ8b3fSbaaxoPelC3o

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11350:MsjBCxUIKIATKGUIUNCDQGU88xqEATA8M0AECQoU0OAAKBHhPiIAIVBJCQAICiRiyiJAYobFGGUQgnUeEFARRMDKOKC0I4GI

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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