Summary
This website contacted 6 IPs in 4 countries across 6 domains to perform 88 HTTP transactions. The main domain is agronomiforestaliumbria.it and was registered NaN years ago.
Submitted URL: https://www.agronomiforestaliumbria.it
Effective URL: https://www.agronomiforestaliumbria.it/ita/home/Redirected
AI Security Verdict
Moderate Risk
Confidence: 78%
The site hosts a password‑only form that may be used for credential harvesting, but its long‑standing domain and lack of other malicious indicators keep the overall risk moderate.
Risk Factors
Safety Factors
Details
Page Title
Federazione dei dottori agronomi e forestali dell'Umbria |
Scan Type
public
Language
Italian
Category
government public service
(66%)Domain Information
The domain name 'www.agronomiforestaliumbria.it' uses the Italian country-code top-level domain (.it) with subdomain 'www'. Its registrable label 'agronomiforestaliumbria' stretches across 23 characters containing 11 vowels alongside twelve consonants. Tokenizing the label suggests 5 words: agron, omi, forest, ali, umbria. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 18 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 14 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 14 | 142.251.20.94 | United States | AS15169Google LLC |
| 14 | 35.214.154.132 | Groningen, Groningen, Netherlands | AS43515Google Ireland Limited |
| 14 | 5.134.124.200 | Italy | AS3242Reevo S.p.A. |
| 14 | 142.250.154.95 | United States | AS15169Google LLC |
| 88 | 6 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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