Security Scan Report: meteo-ai.vercel.app

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Submitted: Aug 27, 2026, 1:07:13 AMCompleted: Aug 27, 2026, 1:08:22 AMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is meteo-ai.vercel.app and was registered 6 years ago.

Submitted URL: https://meteo-ai.vercel.app/fr/meteo/us/new-york/new-york-city-5128581

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The page provides weather information, shows no malicious indicators, and contains no credential collection; it is legitimate.

Safety Factors
Clear weather information content
No suspicious redirects or external links
No form fields collecting user data
Domain age information unavailable

Details

Page Title

Météo New York : aujourd’hui, demain et 7 jours | Meteo AI

Scan Type

public

Domain Name Analysis

The domain name 'meteo-ai.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'meteo-ai'. Count 6 characters in 'vercel' with two vowels and 4 consonants. Splitting it apart reveals 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://meteo-ai.vercel.app/fr/meteo/us/new-york/new-york-city-5128581

Page Load Overview

1.82s
Total Load Time
5 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:fr-FR
Text Length:1,934 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service59% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
59%
adult content
48%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.3United States
AS16509Amazon.com, Inc.
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15262B9B662E016FE5B13E2557885FB0EA4646C5FC4130B90B95E4FB88FC6EE2D433605

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:bvFRj/JHfxNd8SXQ9+Bo8Cdnp4eaO4LMZwNoQSWMcmVfyZBA:EzqSAO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15200:AnyjhQFSBhQiFLSBymQuIFHUkqRpAUJxQMQBCTAoMgORBEg0UALhQGIBIMCISpzGgBAQwlsxxAe4RguBpEw4RCooBY1B1ECD

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:ffc0c3e7ffc7c7ff
Perceptual Hash:b1648e9bce8633cc
Difference Hash:a8968e4d329c1c64
Wavelet Hash:7ec0c08099c3c7ff
Color Hash:#9ae06c

Other Hashes

Crop Resistant:a8968e4d329c1c64

Scan History

Scan history not available

Unable to load historical scan data