Security Scan Report: www.fsclf.it

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Submitted: Jun 11, 2026, 2:11:41 PMCompleted: Jun 11, 2026, 2:13:04 PMpubliccompleted
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Summary

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

Submitted URL: https://www.fsclf.it

AI Security Verdict

Safe Website

Confidence: 80%

1
Risk Score

The site shows no malicious activity, has an established age, and lacks phishing or malware indicators; it is considered legitimate.

Safety Factors
Established domain age (>1 year)
No forms collecting credentials or payments
No malicious indicators (IoC, YARA, IDS) found
Content appears to be a news/media site
No redirects or suspicious external links
Domain age information unavailable

Details

Page Title

Associazione News

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

news media journalism

(40%)

Domain Information

Within the Italian country-code top-level domain (.it), 'www.fsclf.it' is registered, featuring subdomain 'www'. Count 5 characters in 'fsclf' with 0 vowels and five consonants. Segmentation suggests two words: fs, clf. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.fsclf.it

Page Load Overview

0.44s
Total Load Time
24
HTTP Requests
2
Domains
966 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:6,730 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism40% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
40%
corporate
35%
technology software
33%
government public service
31%
blog personal website
27%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
846.224.107.120Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
8104.21.58.156United States
AS13335Cloudflare, Inc.
818.66.107.160United States
AS16509Amazon.com, Inc.
243--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T107D20872C2C11577D23799C2FAB4EB48B23A545ADE670904A3AC13F9CFCADD7412568C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:LpkfnFr3/J80OSztEY7gyfY1/iHevCmRnNYQTr7txnOVkL2NMJPrX8wN2:dktr3e0OqS/iHeqmRnNYQTr7txnOVkyD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30418:DanQbIkBwqhHIQAjGCoiMDphBCFiTrD5oA0XgoBBBAUQ4MKEKFEDBCAEAA8gXCAMjwUDQaGBA5JSoVkQhQTwp0AARjAUQWJ0

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:00ffe7dbdbe7c3db
Perceptual Hash:885736334d4c7373
Difference Hash:0d154db3334d232b
Wavelet Hash:0087ff999be78381
Color Hash:#6ce06c

Scan History

Scan history not available

Unable to load historical scan data