Security Scan Report: www.iledefrance-mobilites.fr

Submitted: Sep 25, 2026, 7:02:38 PMCompleted: Sep 25, 2026, 7:03:45 PMpubliccompleted

This website contacted 33 IPs in 3 countries across 22 domains to perform 293 HTTP transactions. The main domain is iledefrance-mobilites.fr and was registered 9 years ago.

Submitted URL: https://www.iledefrance-mobilites.fr/en/actualites/idees-activites-sorties-ile-de-france-decembre

The Cisco Umbrella rank of the primary domain is #433,545 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate official Île-de-France Mobilités news article. Established domain, self-branding, no forms, no malware or phishing indicators.

Safety Factors (5)
Established domain (3465 days old)
Self-branding detected: title/meta match the domain
No credential or payment forms
No Indicators of Compromise, YARA malware, or IDS alerts
Content is legitimate news/outings information from a regional transport authority
Domain age information unavailable

Details

Page Title

Ideas for outings to do in December in Île-de-France

Scan Type

public

Domain Name Analysis

Within the French country-code top-level domain (.fr), 'www.iledefrance-mobilites.fr' is registered, featuring subdomain 'www'. The second-level label 'iledefrance-mobilites' is 21 characters long split between 9 vowels and 11 consonants; it also includes one hyphen. Tokenizing the label suggests five words: ile, de, france, mobil, ites. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.iledefrance-mobilites.fr/en/actualites/idees-activites-sorties-ile-de-france-decembre

Page Load Overview

6.46s
Total Load Time
5.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-gb
Text Length:6,447 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism52% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
52%
entertainment media
33%
government public service
32%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37141.101.90.98Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
865.8.131.118Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
813.226.244.120Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
8188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
818.195.235.189Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
818.172.112.16Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
8188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8172.67.75.247Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8104.26.14.153Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
29333--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15214B72FBD0C602B1023C6D5B9B2A70630B5AF1BC51E4691BDAF43744FF28B6257D58A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vStD+CLKfJU+2hRk+KZaIZYG/UFAvmfrbgwbyPmh0lPfE1wHdqQqhnGqNRynlyov:HhU+0XFJBpVn2MmumDLeVh5KFku

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:198983:IGBDCkKyaAEJCCitCAzJOQxkUEGgBIBqWYgGCQAIOkgYVIGRLghKIYGCS7CmEP/IXIRAgAAThEHKggSkRIGKnpNCWxARkiNY

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:00e7c7dfffefffff
Perceptual Hash:b01e06474e3e30ff
Difference Hash:540d3d3c241c1e9c
Wavelet Hash:00cf0000dfc7ef6f
Color Hash:#53ac54

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data