Security Scan Report: www.skitrab.it

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Submitted: Feb 20, 2026, 1:29:31 AMCompleted: Feb 20, 2026, 1:34:10 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is skitrab.it and was registered NaN years ago.

Submitted URL: https://www.skitrab.it/filippov-nikita-y-filippovn.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No credential or payment forms
No external links or redirects
Domain age information unavailable

Details

Page Title

www.skitrab.it

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

documentation technical

(81%)

Domain Information

You're looking at domain 'www.skitrab.it' on the Italian country-code top-level domain (.it), featuring subdomain 'www'. The registrable portion 'skitrab' spans 7 characters containing 2 vowels alongside 5 consonants. Breaking it apart gives 2 words: skit, rab. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.skitrab.it/filippov-nikita-y-filippovn.html

Page Load Overview

90.59s
Total Load Time
3
HTTP Requests
0
Domains
N/A
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:4,806 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical81% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
81%
adult content
61%
government public service
52%
e-commerce shopping
51%
healthcare medical
42%

Detected Features

Search
OG: product

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
349.13.32.113Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
01--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:pfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszS2bMy8Oldd:ehoC9JSqzzbs6o3Sj3gcrsO2eAD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184557:Q2aYwAACBAARgkkOBFg5AskQAWGzEjmLIoA0IPojYmQSHxECREVhhg8c5G1C1iopNxAGIGAzcIaNMoUBQAyAIwSTHAg0MiSQ

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:ffcfc7c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00181c1c00000000
Wavelet Hash:3f1f03070f0f0f0f
Color Hash:#5354ac

Other Hashes

Crop Resistant:00181c1c00000000

Scan History

Scan history not available

Unable to load historical scan data