Security Scan Report: www.icoor.it

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Submitted: Jan 16, 2026, 12:33:42 PMCompleted: Jan 16, 2026, 12:34:55 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 40 HTTP transactions. The main domain is icoor.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate informational site with no security concerns.

Safety Factors
Established domain (>17 years)
No malicious Indicators of Compromise
No forms collecting sensitive data
Clear institutional affiliation
Domain age information unavailable

Details

Page Title

ICOOR – Operations Research

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

government public service

(29%)

Domain Information

The domain name 'www.icoor.it' uses the Italian country-code top-level domain (.it), featuring subdomain 'www'. Count 5 characters in 'icoor' holding 3 vowels versus 2 consonants. It segments into 2 words: ico, or. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

5.86s
Total Load Time
40
HTTP Requests
3
Domains
2.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
HTML Lang Attribute:it-IT
Text Length:711 chars
Detector Agreement:100%
Language mismatch: Declared as it but detected as en

Website Classification

Primary Category

government public service29% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
29%
technology software
28%

Detected Features

OG: blog

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14142.250.184.202United States
AS15169GOOGLE
1389.46.109.24Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
13172.217.20.131United States
AS15169GOOGLE
403--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16B55C0933E9119CCB13283B5B4766A90632D6201F3AFC674BBB6603CDE4ABCC6873555

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:ixNWpv9aowEeOieWKoJJF0vn/mCMOsDZrEDpmBFmpn5cOyeYD4MwQiV3VkR3Sf/l:b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1397975:QCBJBGRCqMBgOOFFGEIJjrWlQKJzgiCVPjABFJaKDfUkEAomixGYDVYnhVmCCkAipBAAg7MBAIAIghjYBFChxXBUiTCEEhzL

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:0d00193d3dff001f
Perceptual Hash:8a5730f68bcdb438
Difference Hash:b509b5f169c593f7
Wavelet Hash:0f001d3dfdff000f
Color Hash:#bf7940

Other Hashes

Crop Resistant:b509b5f169c493f7

Scan History

Scan history not available

Unable to load historical scan data