Security Scan Report: www.abafg.it

Submitted: Dec 30, 2025, 8:00:08 AMCompleted: Dec 30, 2025, 8:01:23 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 60 HTTP transactions. The main domain is abafg.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate academic website with no security concerns detected.

Safety Factors
Long‑standing domain registration
Official academic branding
Absence of credential‑harvesting or payment collection mechanisms
Domain age information unavailable

Details

Page Title

Accademia di Belle Arti - Foggia | Sito web ufficiale

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

education learning

(71%)

Domain Information

Within the Italian country-code top-level domain (.it), 'www.abafg.it' is registered with subdomain 'www'. The registrable portion 'abafg' spans 5 characters holding 2 vowels versus 3 consonants. Tokenizing the label suggests two words: aba, fg. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.93s
Total Load Time
51
HTTP Requests
3
Domains
1.8 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:12,739 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning71% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
71%
government public service
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17142.250.184.232United States
17188.114.97.3United States
AS13335CLOUDFLARENET
17142.251.140.170United StatesUnknown
513--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16BB334F249CCA83D425AB6C4A525F62DE2E3800DCFC01DA6B3F85BE9D645F90957224F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:1lXUtaprHeih5r3hqv13ALKqQUAjNy3Yrf+i7e5GnBWuOHi7hzbJTVnrRHiYm8wM:1lXUc1fh5r3hQ1QLKqQUAj20FW8wqOm5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:109279:ggCNBcIAFgSJJtyYFBfBWAIcBiwgAkmAhAAdAABSB3DXHDRmSoBC4UDUQKEwpCEIwQIAONQMGwwBAgnACSoIMg+cEU0OhkFm

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:a0a3ff5ecfdfcfcf
Perceptual Hash:b867677818c39ab8
Difference Hash:6a2e0eb9b4b1b6b5
Wavelet Hash:0082df0ccfdfc70d
Color Hash:#1f2393

Scan History

Scan history not available

Unable to load historical scan data