Security Scan Report: senzaimbarazzo-zbme2m3tcp.edgeone.app

Submitted: Mar 23, 2026, 8:53:05 AMCompleted: Mar 23, 2026, 8:54:16 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is senzaimbarazzo-zbme2m3tcp.edgeone.app and was registered NaN years ago.

Submitted URL: https://senzaimbarazzo-zbme2m3tcp.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Low‑risk site; no malicious indicators detected, likely a legitimate informational page.

Risk Factors
Subdomain on a free hosting platform with unknown age
Low Cisco Umbrella ranking (455,732) indicating limited reputation
Safety Factors
No password or payment fields present
No malicious Indicators of Compromise detected
No JavaScript malware YARA matches
No cross‑origin credential exfiltration observed
HTTPS connection (inferred from URL scheme)
Domain age information unavailable

Details

Page Title

Tecnologia Senza Imbarazzo – Gabriele Lo Cicero

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

technology software

(95%)

Domain Information

Domain 'senzaimbarazzo-zbme2m3tcp.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'senzaimbarazzo-zbme2m3tcp'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 consonants. Segmentation suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://senzaimbarazzo-zbme2m3tcp.edgeone.app/

Page Load Overview

0.80s
Total Load Time
3
HTTP Requests
2
Domains
10 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:1,943 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software95% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
95%
documentation technical
80%
adult content
69%
government public service
52%
education learning
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
246.105.222.81Singapore
143.152.26.58Singapore
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11152E91676F021267013A6A43BE3578E6784D41BE907CA747AEE01A4CFCDDF0DA5764C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:vHI9aROYsYGCpvO0tYk36UFgYry5t9JbPeWi+NVSVGxmgnBCtFiW5QZrtI2k2:vIEZlspBzL6GQgnBGRow2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13259:wEoglSaUFBAKAgCgEAA2UCWEkmAQ4aAnjmDZgJDNRCIVUSRR4gYAYgAh0EIBaOggAPS1FmEAGICXSKwxaAkglAICACHAbLBC

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:00000000ffffffff
Perceptual Hash:a80831f7f70c0cf7
Difference Hash:f7f7f3f30c4c0e16
Wavelet Hash:00000000ffffffff
Color Hash:#53aca6

Scan History

Scan history not available

Unable to load historical scan data