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Security Scan Report: geometri.bn.it

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Submitted: Oct 11, 2025, 2:44:14 PMCompleted: Oct 11, 2025, 2:45:59 PMpubliccompleted
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Summary

This website contacted 51 IPs in 2 countries across 13 domains to perform 88 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: 72%

5
Risk Score

Site shows suspicious login form elements but lacks other malicious signs; treat as moderate risk.

Risk Factors
Credential harvesting form (password-only field)
Hidden password field
Safety Factors
Domain is over 20 years old (well‑established)
No malicious Indicators of Compromise matches found
No payment or personal data collection beyond password
Site appears to be a legitimate professional association
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) and has no subdomain. Count 8 characters in 'geometri' containing four vowels alongside four consonants. Segmentation suggests 3 words: geo, me, tri. Median word length comes out to 3 characters. 'geto' most strongly signals Estonian. You will also see it in Chinese (Pinyin) and Albanian contexts.

Screenshot

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

Page Load Overview

55.29s
Total Load Time
88
HTTP Requests
13
Domains
2.7 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:4,634 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
3818.197.58.202Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
13.160.150.40United States
AS16509AMAZON-02
1142.250.186.136United States
AS15169GOOGLE
1170.187.186.68Frankfurt am Main, Hesse, Germany
AS63949Akamai Connected Cloud
1142.250.185.99United States
AS15169GOOGLE
13.160.150.117United States
AS16509AMAZON-02
13.123.52.171Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
118.173.205.122United States
AS16509AMAZON-02
1216.239.32.36United States
AS15169GOOGLE
1216.58.206.46United States
AS15169GOOGLE
8851--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E163B7F24C4C543A824A33C590B4B29DBAFF8931CF004DA5B7FA672CDB85EE4496516E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:YaapnxFuoh5emqkqKYkukghlkSfrbADyMJPXA62+5eY3uU3wOHl05luAshT4D2lh:YtBxFuoTemqkFYkuk2lkSHMyMJvA6T5x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:71431:RgAEQgChEg7JBAARAuNqgTAwFFsMnWqqFLIlMhGRBhA5EBIASRFACAFERomQDIF0QAACQFUBNh0UCBQIBrY8hkkAIFiD3QMp

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:0083919ff9d9ffff
Perceptual Hash:ae3c4343531e1c6f
Difference Hash:c527333313336909
Wavelet Hash:0083898bd981bfff
Color Hash:#1f2593

Other Hashes

Crop Resistant:b3b3b3b3b3b0b5b3,c527333223336909

Scan History

Scan history not available

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