Summary
This website contacted 12 IPs in 2 countries across 5 domains to perform 50 HTTP transactions. The main domain is zenith-amiens.fr and was registered NaN years ago.
Submitted URL: https://www.zenith-amiens.fr/detail-dune-manifestation/miss-france-2026-election
AI Security Verdict
Safe Website
Confidence: 88%
Legitimate event page with no phishing or malicious activity detected.
Safety Factors
Details
Page Title
Election - Zenith Amiens Métropole
Scan Type
public
Language
French
Category
technology software
(86%)Domain Information
Within the French country-code top-level domain (.fr), 'www.zenith-amiens.fr' is registered; it also runs on subdomain 'www'. Its registrable label 'zenith-amiens' stretches across 13 characters holding five vowels versus seven consonants, along with one hyphen. It segments into two words: zenith, amiens. Median word length is six characters. 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 |
|---|---|---|---|
| 40 | 217.160.0.80 | Germany | AS8560IONOS SE |
| 4 | 142.250.186.163 | United States | AS15169GOOGLE |
| 4 | 2a00:1450:4001:80f::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 2001:8d8:100f:f000::2cd | Germany | AS8560IONOS SE |
| 4 | 2a00:1450:4001:82a::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 4 | 2a00:1450:4001:80f::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 2001:4860:4802:34::36 | United States | AS15169GOOGLE |
| 4 | 2001:4860:4802:32::36 | United States | AS15169GOOGLE |
| 2 | 216.239.32.36 | United States | AS15169GOOGLE |
| 50 | 12 | - | - |
Detected Technologies4
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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