Security Scan Report: en.lasicilia.it

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Submitted: Jun 19, 2026, 2:35:41 PMCompleted: Jun 19, 2026, 2:37:30 PMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 8 domains to perform 2 HTTP transactions. The main domain is en.lasicilia.it and was registered NaN years ago.

Submitted URL: https://en.lasicilia.it/news/italy-world/3050309/there-are-no-limits-to-my-power-says-donald-trump-who-in-a-book-is-more-powerful-than-hitler-stalin-and-mao.html

The Cisco Umbrella rank of the primary domain is #787,233 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The site is an established news page with no credential harvesting or brand impersonation; low risk overall.

Risk Factors
Circular redirect detected (moderate signal)
JavaScript obfuscation score marked CRITICAL (high entropy/minification)
Safety Factors
Long‑standing domain with reputable registration date
Absence of credential collection fields
No malicious IoC or YARA matches
Content appears to be standard news reporting
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by perimeterx bot protection. Our scanner was challenged or blocked during access.

Page Title

"There are no limits to my power," says Donald Trump. Who in a book is "more powerful than Hitler, Stalin, and Mao" - La Sicilia

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(39%)

Domain Information

The domain 'en.lasicilia.it' uses the Italian country-code top-level domain (.it) and includes subdomain 'en'. The core label 'lasicilia' covers 9 characters split between 5 vowels and 4 consonants. Breaking it apart gives 3 words: las, i, cilia. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://en.lasicilia.it/news/italy-world/3050309/there-are-no-limits-to-my-power-says-donald-trump-who-in-a-book-is-more-powerful-than-hitler-stalin-and-mao.html

Page Load Overview

7.61s
Total Load Time
219
HTTP Requests
35
Domains
6.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:26,397 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content39% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
39%
news media journalism
36%
entertainment media
32%
government public service
26%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3018.172.112.112United States
AS16509Amazon.com, Inc.
27104.17.24.14United States
AS13335Cloudflare, Inc.
2779.127.211.90Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
27142.250.154.95United States
AS15169Google LLC
27104.17.208.5United States
AS13335Cloudflare, Inc.
2746.8.152.14London, England, United Kingdom
AS213119ALZ Software Ltd
27142.251.14.95United States
AS15169Google LLC
27142.251.14.97United States
AS15169Google LLC
2198--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CEF32A31A180573F465343E8FA712B6FF096916DFB83088177D6C3BD63C2EA1953A989

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:AIPbD+y3HAJV1nHHAz45jHAF5tnHAT2GZXHAfE5GFHAyrnaxHAYzodHAHuYXnHAc:3bD+yA1ns45G5tO2GZ55GRrnalzo8uYz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:168995:AQcNDAYCwEQXUBKGBJELBH0MAgoJCFSApo4AEwyM1RlUwZAkiI0ACa0hCCIiElIGQAuJAARzRMAM1kANBACLtQAsCIIiFiDY

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:e7ffc3c3c3c7effe
Perceptual Hash:b1aac6827d395ccc
Difference Hash:0e0c1616969e1e14
Wavelet Hash:87e7c383c3c3c3c2
Color Hash:#1f8693

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data