Security Scan Report: www.brusselstimes.com

Submitted: Sep 28, 2026, 5:56:43 AMCompleted: Sep 28, 2026, 5:57:50 AMpubliccompleted

This website contacted 76 IPs in 3 countries across 45 domains to perform 194 HTTP transactions. The main domain is brusselstimes.com and was registered 4 years 10 months ago.

Submitted URL: https://www.brusselstimes.com/2266562/cycling-is-booming-in-brussels-what-should-cyclists-watch-out-for

The Cisco Umbrella rank of the primary domain is #802,633 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate Brussels Times news article on its own 26-year-old domain; no forms, no impersonation, no Indicators of Compromise, malware, or phishing signals detected.

Safety Factors (5)
26-year-old established domain with business legitimacy indicators
No credential, login, or payment forms anywhere on the page
No threat-intelligence matches, no YARA hits, no IDS alerts
Cross-origin requests are standard analytics/ad-tech (Google Analytics, Chartbeat, OpenWeb, Piano)
Content is an editorial news article with clear attribution to the publication
Domain age information unavailable

Details

Page Title

Cycling is booming in Brussels: What should cyclists watch out for?

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.brusselstimes.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Its registrable label 'brusselstimes' stretches across 13 characters holding 4 vowels versus 9 consonants. Segmentation suggests two words: brussels, times. Median word length is 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.brusselstimes.com/2266562/cycling-is-booming-in-brussels-what-should-cyclists-watch-out-for

Page Load Overview

8.75s
Total Load Time
7.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:66,923 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service84% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
84%
documentation technical
80%
news media journalism
66%
blog personal website
65%
adult content
59%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4434.160.246.108Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2142.251.14.97Google · CDNUnited States
AS15169Google LLC
218.245.63.132Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.250.154.154Google · CDNUnited States
AS15169Google LLC
2104.16.160.145Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
213.226.244.114Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2172.67.212.172Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
218.66.192.9Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2146.75.120.157Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
19476--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A151B71B500152F977B49C4B78AE70A71DAA21BE0D90420E1ED0F6C8BDADBCB51E397

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:8cQdasGLQN0Uf9jUlj2WeLGcIU8oZK0SVYCUina66J00mJouzhKub54LwxDGxoXi:8cQdasGLQF66J0EvI4nW72fii1BioknC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:876856:h6lDYtTMwACAgEFoCQMQegEAEYRAWKQFIkJrOP3BEAwadMGIkSGVhKQOSIQEWDOASQSGMjSoFAVShoSokaEDQAmA0JIOILQG

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:00001c1c18180000
Perceptual Hash:9dcb636499368c99
Difference Hash:4d73323232320e0c
Wavelet Hash:81813c3c98988080
Color Hash:#bfd279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data