Security Scan Report: www.belfastcityairport.com

Site favicon
Submitted: Completed: publiccompleted
This website contacted 33 IPs in 3 countries across 24 domains to perform 83 HTTP transactions. The main domain is belfastcityairport.com and was registered 27 years ago.

Submitted URL: https://www.belfastcityairport.com/vision/home

The Cisco Umbrella rank of the primary domain is #566,905 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Official Belfast City Airport Master Plan 2040 page on its own 27-year-old domain. Self-branded, no forms, no threat-intelligence, hunting rule or IDS hits. Legitimate.

Safety Factors (5)
Domain age of 27 years with a matching self-branded identity
Zero credential or payment collection anywhere on the page
Clean threat-intelligence, hunting rule, IDS and kit-roster results
Cross-origin requests limited to standard analytics/advertising/CDN hosts (Google Analytics, DoubleClick, YouTube, Google Fonts, Civic Cookie Control)
Consistent, detailed corporate content corroborated by third-party organisations
Domain age information unavailable

Details

Page Title

Belfast City Airport | Master Plan 2040

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'www.belfastcityairport.com' is registered; it also runs on subdomain 'www'. The core label 'belfastcityairport' covers 18 characters containing six vowels alongside 12 consonants. Breaking it apart gives three words: belfast, city, airport. Median word length comes out to 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

THS SITEUSES COOKIES TO STORE MFORMATION OM YOUR COMPOTER, x Some ofthese cookies resent hile others help uso improve your experience by roving QUR JOURNEY SOFAR OUR VISION FORTHE FUTURE OURNEXTSTEPS...

Page Load Overview

1.57s
Total Load Time
5.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:9,796 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
77%
adult content
48%
travel tourism
44%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19172.66.148.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.20.35.161Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
274.125.29.95Google · CDNUnited States
AS15169Google LLC
2142.251.151.4Google · CDNUnited States
AS15169Google LLC
2142.250.154.97Google · CDNUnited States
AS15169Google LLC
2142.251.110.94Google · CDNUnited States
AS15169Google LLC
2172.66.163.83Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2216.239.34.36Google · CDNUnited States
AS15169Google LLC
2192.178.183.155Google · CDNUnited States
AS15169Google LLC
2142.251.150.4Google · CDNUnited States
AS15169Google LLC
8333--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16D53F8226390003746B790D1B478AF9BBB29D647C6070D51FEAC87D48FDBEC1952B62E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:sG71G2rOo4LFziJHLK3BquhY7kvaE9Xl33m:siG2rN4kJrK3BdO7P6Xl33m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:61840:ElECSRwEADzDIyMI0A14wPwiMhWUmSQhBAHQpAAI0BQJABirQTIERx4AJejkaZoCSCRfAE3FACSiBJK4CAhdhlNGECAp4ID9

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:00000c67674301ff
Perceptual Hash:a057cb2d9476d22b
Difference Hash:b49b89ccc69f8bd9
Wavelet Hash:00086c7f774703ff
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data