Security Scan Report: ssip.it

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Submitted: Dec 28, 2025, 5:41:50 AMCompleted: Dec 28, 2025, 5:42:30 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 176 HTTP transactions. The main domain is ssip.it and was registered NaN years ago.

Submitted URL: https://ssip.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Stazione Sperimentale – UDesign WordPress Demo Site

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(80%)

Domain Information

You're looking at domain 'ssip.it' on the Italian country-code top-level domain (.it). The core label 'ssip' covers 4 characters holding one vowel versus three consonants. Segmentation suggests 2 words: s, sip. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ssip.it/

Page Load Overview

17.77s
Total Load Time
176
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-IT
Text Length:5,057 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service80% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
80%
documentation technical
66%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
168168.119.190.93Germany
AS24940Hetzner Online GmbH
5142.251.141.67UnknownUnknown
1142.251.141.106UnknownUnknown
189.46.106.56UnknownUnknown
179.127.204.113Czech Republic
AS60068Datacamp Limited
05--

Detected Technologies3

JQueryv3.7.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F7F3A6717915643A226F62DFC053730CE1EA9287DEC71BE5A2F4821C83B9FA07693B45

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:MWZn4piDFmSk80kikjzkmd34PGkBQM5phXjXWkRIVOvhlb9azzObm3TLF8b7Bf1H:MlIwjA3lNSv5phXjRRIVSBT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:171333:4JgKATDVyACEIgRFgUSFJHBgVRKkodbAADVAYAqkJkQOGiBwoERRJAQEAzmiDJAIMocBAoAQKsABBQIg4tABGUUMiiYBCkjh

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:003c00ffffffffff
Perceptual Hash:8202033f7d7d6d69
Difference Hash:cdd4d52b29012b2b
Wavelet Hash:003c24c3dbffc3c3
Color Hash:#79d2bc

Scan History

Scan history not available

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