Security Scan Report: www.parisfans.fr

Submitted: Sep 29, 2026, 10:09:48 AMCompleted: Sep 29, 2026, 10:10:58 AMpubliccompleted

This website contacted 15 IPs in 2 countries across 11 domains to perform 53 HTTP transactions. The main domain is parisfans.fr and was registered 21 years ago.

Submitted URL: https://www.parisfans.fr/autour-du-psg/streaming-australie-bresil-ou-et-comment-voir-le-match-875492.html

The Cisco Umbrella rank of the primary domain is #410,170 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 90%

0
Risk Score

Established 13-year-old Paris Saint-Germain fan site serving a news article about a football stream. Self-branded, no credential or payment forms, and no Indicators of Compromise, YARA, or IDS hits. No risk factors found.

Safety Factors (5)
Established 13-year-old domain with consistent PSG fan-site content
Self-branding matches domain — no impersonation of another entity
Article/news page type reporting on events, not collecting user data
Only form present is same-origin site search, no credential or payment collection
No threat-intelligence, YARA, or IDS evidence of malicious activity
Domain age information unavailable

Details

Page Title

Streaming Australie/Brésil : Où et comment voir le match ?

Scan Type

public

Domain Name Analysis

The domain 'www.parisfans.fr' uses the French country-code top-level domain (.fr) and includes subdomain 'www'. The registrable portion 'parisfans' spans 9 characters split between three vowels and 6 consonants. It segments into 2 words: paris, fans. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.parisfans.fr/autour-du-psg/streaming-australie-bresil-ou-et-comment-voir-le-match-875492.html

Page Load Overview

5.15s
Total Load Time
973 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:4,221 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media67% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
67%
adult content
53%
news/blog
50%
corporate
35%
government public service
29%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.9.229Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.29.119Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
35.181.53.152France
AS210855Meetscale SAS
3104.18.31.80Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.8.229Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
345.142.14.147France
AS210858Actirise SAS
331.216.61.147France
AS210879Sparteo SAS
345.142.14.146France
AS210858Actirise SAS
5315--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176F33BF71164003AB2778365B099BF1DB61B4037CF0349EEB7697AD8CBC5EDA1921286

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:lqxrHYuf+hrAJIyibfeDzF84gS4A9JhXrJrCFeJ1GzqktA7qQC:amhrAJIyi79u4ehXDcQC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:159023:UqYMFAAENRIOIkJDQAFBiFKDxgAVWFieOAEDImgaES2iUFQRQTUI0KASas59g868gEqQQhtHwLwAECwIACoxDASEztACkhCl

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:00003c3cbc380000
Perceptual Hash:9ec3616c9e30cd33
Difference Hash:1660696969710e2e
Wavelet Hash:00c33f3dbdbd8080
Color Hash:#4c2d86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data