ScanMalware.com

Security Scan Report: www.comune.casteldilama.ap.it

Site favicon
Submitted: May 23, 2026, 9:13:32 AMCompleted: May 23, 2026, 9:14:54 AMpubliccompleted
Loading additional data...

Summary

This website contacted 7 IPs in 3 countries across 7 domains to perform 103 HTTP transactions. The main domain is comune.casteldilama.ap.it.

Submitted URL: https://www.comune.casteldilama.ap.it

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The site appears to be a legitimate municipal page with no phishing or malware signs; low risk despite unknown domain age and high JS obfuscation.

Risk Factors
Domain is unranked in Cisco Umbrella (not in top 1M)
Domain age unknown
JavaScript obfuscation score marked as CRITICAL (high entropy/minification)
Safety Factors
No forms collecting credentials or payments
No malicious Indicators of Compromise or YARA matches
Content classified as government public service with high confidence
No network IDS alerts or credential exfiltration detected
Domain age information unavailable

Details

Page Title

Comune di Castel Di Lama | Comune di Castel Di Lama

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(92%)

Domain Information

The domain 'www.comune.casteldilama.ap.it' uses the Italian country-code top-level domain (.ap.it) with subdomain 'www.comune'. The second-level label 'casteldilama' is 12 characters long with five vowels and 7 consonants. Word splitting yields three words: castel, d, ilama. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.casteldilama.ap.it

Page Load Overview

32.79s
Total Load Time
55
HTTP Requests
7
Domains
2.0 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
Text Length:4,849 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
92%
blog personal website
77%
education learning
76%
documentation technical
66%
adult content
64%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13104.21.27.152United States
AS13335Cloudflare, Inc.
7195.231.24.148Italy
AS31034Aruba S.p.A.
7141.95.161.68France
AS16276OVH SAS
7104.17.24.14United States
AS13335Cloudflare, Inc.
7104.18.1.22United States
AS13335Cloudflare, Inc.
735.152.40.99Milan, Lombardy, Italy
AS16509Amazon.com, Inc.
7142.251.127.95United States
AS15169Google LLC
557--

Detected Technologies6

X-UA-Compatible
100%
Open-Graph-Protocolvarticle
100%
Cloudflare
50%
HSTS
40%
cdnjs
20%
Google Maps
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A0445C36A246202A7533C62570E0ABECA13AE247E9530EFCF9ED77244FD7C955623B14

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ls88ADF0OOdu7mqujVHEiJBYOabWGN9cIwUOae5bib80OFy214safyr2xzKbxgZp:S88hH546Ib2Fy2Raqqgmhqa0w9jlB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:261535:Euw8sgAAyXUI5EnFHYIBoZGiSohAasKpGREbKiKC0SA7AqAxAeQwECYAD6IRUVE4KNAQlCA0xCFZWWCBCBJ4EojDirqEA0ID

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:0000f1f1f1f1c7c3
Perceptual Hash:ec4b111764b7c8ec
Difference Hash:ccc3232327a31616
Wavelet Hash:0000f1f1f1f3efc3
Color Hash:#c59a87

Other Hashes

Crop Resistant:ccc3232327a31616,a280b2b2b280a2a2,c4cea32323272723,41424a5053313345

Scan History

Scan history not available

Unable to load historical scan data