Security Scan Report: www.lavoixdunord.fr

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Submitted: Dec 7, 2025, 12:07:16 AMCompleted: Dec 7, 2025, 12:09:57 AMpubliccompleted
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Summary

This website contacted 172 IPs in 8 countries across 47 domains to perform 164 HTTP transactions. The main domain is lavoixdunord.fr and was registered NaN years ago.

Submitted URL: https://www.lavoixdunord.fr/1653769/article/2025-12-06/direct-miss-france-2026-election-resultats-nord-pas-calais

The Cisco Umbrella rank of the primary domain is #371,742 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

2
Risk Score

Legitimate news site with minimal risk; circular redirect noted but overall safe.

Risk Factors
Circular redirect detected
Safety Factors
Long‑standing reputable news domain
Low risk content (news article)
No malicious Indicators of Compromise
No credential or payment collection
Domain age information unavailable

Details

Page Title

Soirée Miss France 2026 : miss Tahiti décroche la couronne, déception pour miss Nord - Pas-de-Calais - La Voix du Nord

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

entertainment media

(98%)

Domain Information

The domain 'www.lavoixdunord.fr' uses the French country-code top-level domain (.fr) and includes subdomain 'www'. The second-level label 'lavoixdunord' is 12 characters long split between five vowels and seven consonants. Segmentation suggests 4 words: la, voix, du, nord. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.lavoixdunord.fr/1653769/article/2025-12-06/direct-miss-france-2026-election-resultats-nord-pas-calais

Page Load Overview

1.00s
Total Load Time
164
HTTP Requests
47
Domains
2.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:fr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:fr
Text Length:4,388 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media98% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
98%
real estate property
93%
government public service
63%
blog personal website
54%
social media network
48%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
252.21.239.160Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
182.21.65.83Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
979.127.211.89Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
9104.16.55.62United States
AS13335CLOUDFLARENET
83.5.71.120Dublin, Leinster, Ireland
AS16509AMAZON-02
852.84.223.21United States
AS16509AMAZON-02
718.200.182.178Dublin, Leinster, Ireland
AS16509AMAZON-02
5172.66.151.12United States
AS13335CLOUDFLARENET
53.174.46.118United States
AS16509AMAZON-02
551.210.215.98France
AS16276OVH SAS
164172--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E2931877B18428790B4B9BB5EB783B00E1529D5DE254D4C8E6FB814AF1C6EF184E026F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:GSazhwxfhleL06jLEdvf/JU3aMmLaTG56:GSazhwc3aj36

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:89537:NAwCIqRExpASEMgQLRwBIg2RcYDYKClwF+rSCEEGgIACHDB9nGARggaywTPOFDAJIdNIAoVI3+kaBGQIqY4hJSCQYVIYglRS

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:ff243c181c0000ff
Perceptual Hash:8bb7f4b1992c8d0a
Difference Hash:5469697979796969
Wavelet Hash:ff3c3c3c181800ff
Color Hash:#aca953

Other Hashes

Crop Resistant:5469697979796969

Scan History

Scan history not available

Unable to load historical scan data