Security Scan Report: zaiocity.net

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Submitted: Jan 1, 2026, 12:33:11 PMCompleted: Jan 1, 2026, 12:34:42 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 10 domains to perform 67 HTTP transactions. The main domain is zaiocity.net and was registered NaN years ago.

Submitted URL: https://zaiocity.net/2026/01/01/%D9%84%D9%8A%D9%84%D8%A9-%D8%B1%D8%A3%D8%B3-%D8%A7%D9%84%D8%B3%D9%86%D8%A9-%D8%AA%D9%85%D8%B1-%D9%81%D9%8A-%D8%A3%D8%AC%D9%88%D8%A7%D8%A1-%D9%87%D8%A7%D8%AF%D8%A6%D8%A9-%D8%A8%D9%85%D8%AF%D9%8A%D9%86/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Long‑standing domain registration
Standard consent banner only
No suspicious redirects or hidden fields
Domain age information unavailable

Details

Page Title

ليلة رأس السنة تمر في أجواء هادئة بمدينة زايو - zaiocity.net | زايوسيتي.نت

Scan Type

public

Language

🇸🇦

Arabic

(80% confidence)

Category

government public service

(71%)

Domain Information

The domain 'zaiocity.net' uses the network infrastructure generic top-level domain (.net) without a subdomain. Its registrable label 'zaiocity' stretches across 8 characters with four vowels and four consonants. Word splitting yields three words: zai, o, city. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zaiocity.net/2026/01/01/%D9%84%D9%8A%D9%84%D8%A9-%D8%B1%D8%A3%D8%B3-%D8%A7%D9%84%D8%B3%D9%86%D8%A9-%D8%AA%D9%85%D8%B1-%D9%81%D9%8A-%D8%A3%D8%AC%D9%88%D8%A7%D8%A1-%D9%87%D8%A7%D8%AF%D8%A6%D8%A9-%D8%A8%D9%85%D8%AF%D9%8A%D9%86/

Page Load Overview

11.49s
Total Load Time
60
HTTP Requests
9
Domains
1.3 MB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:80%
Script:Arabic
Direction:rtl

Detection Details

Language Code:ar
Detection Confidence:80%
Script Type:Arabic
HTML Lang Attribute:ar
Text Length:59,646 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service71% confidence
Type: webapp
Method: ml+structural

All Detected Categories

government public service
71%
real estate property
58%
news media journalism
48%
blog personal website
40%
education learning
36%

Detected Features

Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.250.184.238United Kingdom
6142.250.184.206United Kingdom
6142.250.186.138United Kingdom
6104.16.160.145United KingdomUnknown
6172.217.18.3United KingdomUnknown
6142.250.186.104United KingdomUnknown
6216.239.34.36United States
AS15169GOOGLE
6185.151.30.120United Kingdom
AS4825420i Limited
6104.17.111.223United States
AS13335CLOUDFLARENET
6142.250.186.98United KingdomUnknown
6010--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T138D4F732B840142FA77B45C8B649D70EB2D6A31FF4D94410D2DA436C87E9EB8B51F2A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1MUeqgUe5uE/NKzXDrWBienJgXspEa1K4ERE9EldVzXc0MjYZoTU4t2pPBE8kG7Z:1MUZgUAh40ERE9EnVDq6dhUoHiw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:656499:ZEEwMggBBAiUcg1FRAkZPFBSZTmlQVSBQYKM1JuaRDoCyARSADUSIlAqAtBZ4OCUkAaQ1NAPDYCycewAAghQKOMKqAg6IniD

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:0058ffff99998181
Perceptual Hash:c914366914779c6f
Difference Hash:96b032b33333030b
Wavelet Hash:001effff99998181
Color Hash:#d279d1

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data