Security Scan Report: afriqulamorocco.pages.dev

Redirected to: https://google.com/AFRIQUIA

Site favicon
Submitted: Dec 20, 2025, 5:48:46 PMCompleted: Dec 20, 2025, 5:49:34 PMpubliccompleted
Loading additional data...

Summary

This website contacted 7 IPs in 2 countries across 6 domains to perform 25 HTTP transactions. The main domain is google.com and was registered NaN years ago.

Submitted URL: https://afriqulamorocco.pages.dev/15176868#

Effective URL: https://google.com/AFRIQUIARedirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security threats detected; site appears legitimate.

Safety Factors
Domain age > 10,000 days (well‑established)
Final destination is a legitimate Google page
Domain age information unavailable

Details

Page Title

Error 404 (Not Found)!!1

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(54%)

Domain Information

The domain 'afriqulamorocco.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'afriqulamorocco'. Count 5 characters in 'pages' with 2 vowels and 3 consonants. It segments into 1 word: pages. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://afriqulamorocco.pages.dev/15176868#

Page Load Overview

5.27s
Total Load Time
25
HTTP Requests
6
Domains
12 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:124 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content54% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
54%
news media journalism
45%
government public service
40%
healthcare medical
39%
technology software
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3188.114.97.3United States
AS13335CLOUDFLARENET
3142.250.185.68United States
AS15169GOOGLE
3142.250.186.174United States
AS15169GOOGLE
3188.114.96.3United States
AS13335CLOUDFLARENET
3142.250.186.136United States
AS15169GOOGLE
3146.75.120.193Frankfurt am Main, Hesse, Germany
AS54113FASTLY
3185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
257--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C33195BFECCD209FA82FC0E5E893515421458D81F359CFDEA709D679D0AA64910335C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:n0R05NsvD+6zSU6pedQf3Zvcn1BZdAe1nCr1LTHoERB/VxWB6S8B:nzHqD+2+pUAewUSB//WB5K

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1603:AIQAEAAgkIhAEAgAAAABAAAAAQQCAEAAAQACAAIAAQCAAEAAAAAACAAAAAhiAACCgAAAEGAAAAAIBSAAAqAQACAQAAAAAiAA

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:ffc3c3ffffffffff
Perceptual Hash:b03098cececf6761
Difference Hash:0014160000000000
Wavelet Hash:fcc0c0fcf0f0f0f0
Color Hash:#4c3a78

Other Hashes

Crop Resistant:0014160000000000

Scan History

Scan history not available

Unable to load historical scan data