Summary
This website contacted 9 IPs in 3 countries across 4 domains to perform 27 HTTP transactions. The main domain is vaac.meteo.fr and was registered NaN years ago.
Submitted URL: https://vaac.meteo.fr/advisory/2025/221091_20251123225721/221091_20251123225721/
The Cisco Umbrella rank of the primary domain is #594,468 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no security concerns and appears to be a legitimate meteorological advisory page.
Safety Factors
Details
Page Title
HAYLI GUBBI.4 - 2025-11-23 22:57 utc · VAAC Toulouse
Scan Type
public
Language
English
Category
news/blog
(40%)Domain Information
Within the French country-code top-level domain (.fr), 'vaac.meteo.fr' is registered with subdomain 'vaac'. The registrable portion 'meteo' spans 5 characters holding three vowels versus 2 consonants. Segmentation suggests 2 words: me, teo. Average segment length settles at 2.5 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 |
|---|---|---|---|
| 16 | 137.129.43.107 | France | AS34177Celeste SAS |
| 5 | 142.250.186.99 | United States | AS15169GOOGLE |
| 5 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 3 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 3 | 2606:4700::6811:190e | United States | AS13335CLOUDFLARENET |
| 3 | 2606:4700::6811:180e | United States | AS13335CLOUDFLARENET |
| 3 | 2a00:1450:4001:800::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 3 | 2a00:1450:4001:813::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 1 | 142.250.186.74 | United States | AS15169GOOGLE |
| 27 | 9 | - | - |
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
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