Security Scan Report: www.amam.it

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Submitted: Oct 13, 2025, 9:18:58 AMCompleted: Oct 13, 2025, 9:19:44 AMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 4 domains to perform 59 HTTP transactions. The main domain is amam.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain age (over 19 years)
No malicious Indicators of Compromise
No credential or payment collection forms
Content matches official company name and services
Domain age information unavailable

Details

Page Title

www.amam.it

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(85%)

Domain Information

Domain 'www.amam.it' uses the Italian country-code top-level domain (.it) and includes subdomain 'www'. The registrable portion 'amam' spans 4 characters containing 2 vowels alongside 2 consonants. Segmentation suggests two words: a, mam. Median word length comes out to two characters. The linguistic tilt is Hungarian for 'a'. Secondary signals appear in Galician and Portuguese. Overall, 'www.amam.it' reads as Hungarian.

Screenshot

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

Page Load Overview

30.08s
Total Load Time
59
HTTP Requests
4
Domains
1.3 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:2,639 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service85% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
85%
documentation technical
65%
adult content
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9142.250.186.74United States
AS15169GOOGLE
5104.26.1.139United States
AS13335CLOUDFLARENET
5173.236.255.252Ashburn, Virginia, United States
AS26347DREAMHOST-AS
5142.250.186.163United States
AS15169GOOGLE
52a00:1450:4001:803::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
52606:4700:20::ac43:443cUnited States
AS13335CLOUDFLARENET
5172.67.68.60United States
AS13335CLOUDFLARENET
52a00:1450:4001:80f::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
52606:4700:20::681a:18bUnited States
AS13335CLOUDFLARENET
52606:4700:20::681a:8bUnited States
AS13335CLOUDFLARENET
5911--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14543FBF214DD647F125F96886065B304B696B105CF025FA2B7FDA26CDFC9DE206A320E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:QhapKS7K0N9JGQzTXXj+8FyyEjwhbPVNnlpS1:QANK0N95ByyEEhbPVNlpS1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55964:ARhFUMQhEIaEMAWDgjfsDWUwEiOgFo0oIwWBCBICA0CoTQxEwgpZBADACBRMILIARFJINEqoWIIYSqDIBRAOCWEKIShJmULO

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:ff0003020fffffe1
Perceptual Hash:a914ead6519eeaa1
Difference Hash:61ffcefaaa6a0303
Wavelet Hash:ff00020206ffffe1
Color Hash:#d2a679

Scan History

Scan history not available

Unable to load historical scan data