Security Scan Report: farzad-6mg.pages.dev

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Submitted: Jan 9, 2026, 5:50:22 PMCompleted: Jan 9, 2026, 5:51:56 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is farzad-6mg.pages.dev and was registered NaN years ago.

Submitted URL: https://farzad-6mg.pages.dev/it/apps/ios

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain with minimal risk level
Absence of login, payment, or hidden sensitive fields
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

429 Too Many Requests

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

technology software

(89%)

Domain Information

You're looking at domain 'farzad-6mg.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'farzad-6mg'. Count 5 characters in 'pages' containing 2 vowels alongside three consonants. Breaking it apart gives 1 word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://farzad-6mg.pages.dev/it/apps/ios

Page Load Overview

24.65s
Total Load Time
35
HTTP Requests
6
Domains
809 KB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:it
Text Length:4,272 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
89%
documentation technical
66%
download file sharing
60%
government public service
44%
adult content
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
35172.66.44.238United States
AS13335CLOUDFLARENET
351--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BBF0909F9F16303F2E238572F8835168CF740966EB9C25E28749215F72CA041C8B5FAC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxYy1bx0AqNvlIgIHTF83TF83TF83TF83TF83TFf:kl1mAW8TuTuTuTuTuTF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:554:AAAAAAAAEAgAAAAAAAgAIAAAAAABAAAAAAAAQAAAAAAAAAIAAAAAAAAAAAAACAAAAIAAAABBAAAAAAAAACAQAAAAAAAQAEAA

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:00ffffffffffffff
Perceptual Hash:e666666666666632
Difference Hash:0c00000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#79d2a6

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

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