Security Scan Report: libraccio.it

Redirected to:
https://www.libraccio.it/
Site favicon
Submitted: Jul 18, 2026, 12:21:32 PMCompleted: Jul 18, 2026, 12:23:09 PMpubliccompleted

Summary

This website contacted 11 IPs in 3 countries across 29 domains to perform 2 HTTP transactions. The main domain is libraccio.it and was registered 29 years ago.

Submitted URL: https://libraccio.it

Effective URL: https://www.libraccio.it/Redirected

The Cisco Umbrella rank of the primary domain is #716,028 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The site appears legitimate with an established domain and self‑branding; minor concerns are limited to heavy JS minification and an ambiguous password field.

Risk Factors
High JavaScript obfuscation score (minified/packed code)
Password field present without clear login context
Safety Factors
Long‑standing domain with reputable registration date
Physical address displayed on site
SSL/TLS enabled (HTTPS)
No external malicious links or IoC matches
Domain age information unavailable

Details

Page Title

Libraccio.it - Libri online, Libri scolastici scontati, Libri nuovi e usati, eBook

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

education learning

(90%)

Domain Information

Within the Italian country-code top-level domain (.it), 'libraccio.it' is registered and has no subdomain. The registrable portion 'libraccio' spans 9 characters containing 4 vowels alongside 5 consonants. It segments into 2 words: li, braccio. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of accounts.google.com

Page Load Overview

5.95s
Total Load Time
209
HTTP Requests
29
Domains
2.4 MB
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:13,710 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning90% confidence
Type: webapp
Method: ml+structural

All Detected Categories

education learning
90%
entertainment media
89%
healthcare medical
60%
documentation technical
56%
social_media
25%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19172.217.208.95Google · CDNUnited States
AS15169Google LLC
19104.18.86.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1965.8.131.110Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
19193.27.202.154Milan, Lombardy, Italy
AS13160Emmelibri S.r.l.
19142.250.154.97Google · CDNUnited States
AS15169Google LLC
19185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
19142.251.127.84Google · CDNUnited States
AS15169Google LLC
19104.18.3.161Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20911--

Page Statistics

209
Requests
28
Unique Domains
3.0 MB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10904B6369782043765B340C8B2B65FAFB4C2E62AFE530515B3FD87DA93CAED7A910054

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:2mQRkPkhYxdK5cBAft2EpOJN8NqoyE1WDBN6mpXh/IWwHSkyZ27QDjrF43mC3XkY:2c8EBAft2EpOJN8NqoyE1WDBN6mpXh/Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:179685:leVwkB2IcE4gIsQWkkkkIAKgikMJImgZB4CxktWFoGFKShCUQCBkBCxOGAIAYAADyaBAjKEAEGuL4yGtEKGdQEQABTQTQEwE

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data