Security Scan Report: stats.beta.gouv.fr

Redirected to: https://stats.beta.gouv.fr/index.php?module=Login&action=index&idSite=1&period=day&date=yesterday

Submitted: Jan 21, 2026, 9:18:45 PMCompleted: Jan 21, 2026, 9:19:53 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 14 HTTP transactions. The main domain is stats.beta.gouv.fr and was registered NaN years ago.

Submitted URL: https://stats.beta.gouv.fr

Effective URL: https://stats.beta.gouv.fr/index.php?module=Login&action=index&idSite=1&period=day&date=yesterdayRedirected

The Cisco Umbrella rank of the primary domain is #219,557 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Sign in - Matomo

Scan Type

public

Language

🇺🇸

English

(67% confidence)

Category

unknown

(0%)

Domain Information

Domain 'stats.beta.gouv.fr' uses the French country-code top-level domain (.gouv.fr), featuring subdomain 'stats'. Its registrable label 'beta' stretches across 4 characters containing two vowels alongside two consonants. It segments into one word: beta. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://stats.beta.gouv.fr

Page Load Overview

2.03s
Total Load Time
11
HTTP Requests
1
Domains
1.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:67%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:67%
Script Type:Latin
Text Length:174 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11185.170.44.110France
AS197562Boscop SC
111--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC541A1BA74D1637078E03E7BD4ED5D6A7F8938F53D0C42178AD826C139BA88533B998

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:pXC+HVlUAqFHoY0b0do3P91S8srPcQj1l//XkExRsH9i+DFN5j6nLRro4GFDd8Jh:pXCKlZ6pzJXmH9i+wR04GFDd8Pv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:299104:SGClIPiYIBCJZDIcGgIMqZEYBCKwgkDYSj0IV0SChkAjViGGEa/UrE4QhABgQEBCAX0AUUQNSpHwX8FgsECgUolEKAQEGHIj

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:00ffffffffffffff
Perceptual Hash:88183976666e4e6f
Difference Hash:3120717109010101
Wavelet Hash:003d3f3f3f033131
Color Hash:#931f91

Other Hashes

Scan History

Scan history not available

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