Security Scan Report: www.fg.camcom.it

Submitted: Jan 24, 2026, 2:00:16 PMCompleted: Jan 24, 2026, 2:01:38 PMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 137 HTTP transactions. The main domain is fg.camcom.it and was registered NaN years ago.

Submitted URL: https://www.fg.camcom.it/

The Cisco Umbrella rank of the primary domain is #290,987 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate public institution site with no security concerns.

Safety Factors
Well‑established domain (over 30 years old)
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Content matches official Chamber of Commerce of Foggia
Domain age information unavailable

Details

Page Title

CCIAA di Foggia

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

corporate business

(80%)

Domain Information

You're looking at domain 'www.fg.camcom.it' on the Italian country-code top-level domain (.it), featuring subdomain 'www.fg'. The second-level label 'camcom' is 6 characters long split between 2 vowels and four consonants. It segments into 2 words: cam, com. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.fg.camcom.it/

Page Load Overview

6.78s
Total Load Time
124
HTTP Requests
5
Domains
1.4 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
Text Length:12,088 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business80% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
80%
government public service
56%
adult content
52%
technology software
37%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
28172.67.142.245United States
AS13335CLOUDFLARENET
2435.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
243.124.107.183Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
2480.82.6.50Italy
AS25569InfoCamere SCpA
24142.251.208.10United States
AS15169GOOGLE
1245--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T149D3C72140E12037024701D87972EB0FA6D6DAAFF6461960FBFD878D4FD6E909E09B5B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Ow5lJzfmUw7/AZK/s+FuwAAGkEk/4RIPP60vmeD0J/sG9KxK:Ocln

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:139161:EqCQgIKycjHGXsEqAEZgAxIABirYDo4EweEAAFoqQggEliAhOTUWkMhLNiiBBokZmgWGxNEUAzZAIQEFLOVgpDzCVQCIwA4Q

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:ff2000cfcf810000
Perceptual Hash:b8c744b3b9c4e44d
Difference Hash:18c91b3e381dc1ab
Wavelet Hash:ffff05cfcf810000
Color Hash:#b7c587

Scan History

Scan history not available

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