Security Scan Report: www.forcom.it

Submitted: Dec 20, 2025, 1:55:44 PMCompleted: Dec 20, 2025, 1:56:37 PMpubliccompleted
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Summary

This website contacted 8 IPs in 1 country across 4 domains to perform 10 HTTP transactions. The main domain is forcom.it and was registered NaN years ago.

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Site appears legitimate with minimal risk.

Risk Factors
Circular redirect detected (potential URL manipulation)
Safety Factors
Domain is over 1.5 years old
No malicious Indicators of Compromise
No credential or payment collection forms
Page returns 403 – Forbidden (no user‑visible content to harvest)
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by forbidden bot protection. Our scanner was challenged or blocked during access.

Page Title

forcom.it -

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(42%)

Domain Information

You're looking at domain 'www.forcom.it' on the Italian country-code top-level domain (.it), featuring subdomain 'www'. The core label 'forcom' covers 6 characters holding two vowels versus 4 consonants. It segments into 2 words: for, com. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.74s
Total Load Time
10
HTTP Requests
4
Domains
88 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:105 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content42% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
42%
documentation technical
37%
news media journalism
33%
blog personal website
31%
healthcare medical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
352.222.206.100United States
AS16509AMAZON-02
134.149.120.3Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
135.227.194.51United States
AS396982GOOGLE-CLOUD-PLATFORM
1142.250.185.227United States
AS15169GOOGLE
1142.250.186.138United States
AS15169GOOGLE
135.244.153.44Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
152.222.206.138United States
AS16509AMAZON-02
135.190.31.54United States
AS396982GOOGLE-CLOUD-PLATFORM
108--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17953E673558D543B6B234BCD9064B318F9A1F146DE8666A9A3FC936CC7CAEF21023D09

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:xDapRbHqO4gTLTFr7q5dH3i9aiCHVz78wmo2bKt+OK2Qe/KN4eqgE1cbFFNbr6TQ:xm/4CfVMdH3i9aiCHVPlmont+J2QmKNT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:63333:AJGGJqGYEcRAbaC4oR4EgoiAigSAwF0QegM+AvBCIgkGsdBBTIoAAIAUZSgWvhgCK8wgQCPUoEUqSGlkkSIIiZgEcdE9AASR

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:00ffbf9f9fff0000
Perceptual Hash:9e8f60783c0f073e
Difference Hash:31d165773336c131
Wavelet Hash:00ff3f1f8fff0000
Color Hash:#878fc5

Scan History

Scan history not available

Unable to load historical scan data