Security Scan Report: geometri.bn.it

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Submitted: Dec 24, 2025, 3:28:47 PMCompleted: Dec 24, 2025, 3:29:47 PMpubliccompleted
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Summary

This website contacted 16 IPs in 2 countries across 13 domains to perform 81 HTTP transactions. The main domain is geometri.bn.it and was registered NaN years ago.

Submitted URL: https://geometri.bn.it/

AI Security Verdict

Moderate Risk

Confidence: 80%

4
Risk Score

Site appears legitimate but contains suspicious password fields indicating possible credential harvesting.

Risk Factors
Password field without username (credential harvesting pattern)
Hidden password field
Safety Factors
Domain age > 20 years (well‑established)
No malicious Indicators of Compromise matches found
No payment fields or external domains
Hosted on standard web hosting, not IPFS or cloud storage
Domain age information unavailable

Details

Page Title

Collegio dei Geometri della provincia di Benevento -

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

forum

(40%)

Domain Information

The domain 'geometri.bn.it' uses the Italian country-code top-level domain (.bn.it) with no subdomain. Its registrable label 'geometri' stretches across 8 characters holding 4 vowels versus four consonants. Segmentation suggests 3 words: geo, me, tri. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://geometri.bn.it/

Page Load Overview

10.20s
Total Load Time
81
HTTP Requests
13
Domains
2.3 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:4,379 chars
Detector Agreement:100%

Website Classification

Primary Category

forum40% confidence
Type: spa
Method: structural

All Detected Categories

forum
40%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.251.38.67United States
AS15169GOOGLE
554.93.141.165Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
5216.58.209.168United States
AS15169GOOGLE
53.125.11.96Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
5142.251.38.68United States
AS15169GOOGLE
53.174.113.104United States
AS16509AMAZON-02
5216.239.32.36United States
AS15169GOOGLE
5216.58.209.170United States
AS15169GOOGLE
53.174.113.129United States
AS16509AMAZON-02
5170.187.186.68Frankfurt am Main, Hesse, Germany
AS63949Akamai Connected Cloud
8116--

Detected Technologies8

WordPressv6.7.4
100%
JQueryv3.7.1
100%
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17153A7F24C4C143AC24A37C590B4B29DBAFF9931CE005DA5B7FAA72CDB85EE4456112E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:YpapjxFuohSemxkqK3kDkghIkSWrbADyMJPXA62+5ejuYKHa05luAshTLD2IGbQr:YIVxFuocemxkF3kDk2IkS6MyMJvA6T5w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:66649:OkqQMKowFBEpYcEPAiFGAggBwxkDAVWpsMgoJCYKlUCxUwwIKCLRAZmke4gaXIoFYQIBgSoIJnSEIOwNAShgAMKSHoQCjAQQ

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:00839999fbfbfffb
Perceptual Hash:ed3e96c3491c1e16
Difference Hash:24273333430b0b03
Wavelet Hash:00838981e9e9fff9
Color Hash:#798ed2

Scan History

Scan history not available

Unable to load historical scan data