Security Scan Report: fraktion.it

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Submitted: Jun 10, 2026, 6:08:37 AMCompleted: Jun 10, 2026, 6:10:01 AMpubliccompleted
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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 fraktion.it and was registered NaN years ago.

Submitted URL: https://fraktion.it/it/falzes

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

The site appears legitimate with no malicious signals detected.

Safety Factors
Well‑established domain age
Self‑branding consistent with domain
No malicious indicators (IoC, YARA, IDS)
No external links or redirects
Domain age information unavailable

Details

Page Title

Eigenverwaltungen Südtirols - Amministrazione Sep.B.U.C. Falzes

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

corporate

(70%)

Domain Information

Within the Italian country-code top-level domain (.it), 'fraktion.it' is registered without a subdomain. The registrable portion 'fraktion' spans 8 characters split between 3 vowels and 5 consonants. Tokenizing the label suggests one word: fraktion. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fraktion.it/it/falzes

Page Load Overview

2.86s
Total Load Time
43
HTTP Requests
1
Domains
521 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-it
Text Length:1,118 chars
Detector Agreement:60%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
43212.237.43.132Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
431--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14703FA62D2AD103A527781C074B9AB0DA2E2433AD9764C14B7ECC7751FCED85A9F780E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:HAQuKsPWULDWahQY+GY0DlaeDez0++C1C0+7XFgW6ezeVHa:HaLyahQYXYwlaeDez0++C1C0+7XFgW6U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40255:FLRDAUYUyJUBREDR1CwGx4QgEuDFoUAtAFA4AABQYACEAihCCi4b+QiQABDBA94wAGAwzAAHkCh4pgIME5AqC4uJpyBJFMjJ

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:ffff080808183038
Perceptual Hash:99b5c7a4b10e3b58
Difference Hash:e0d8d998b0b0e0c9
Wavelet Hash:ffff08085c1c383c
Color Hash:#863d2d

Scan History

Scan history not available

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