Security Scan Report: flights.caribbean-airlines.com

Bot Protection Detected

This website is protected by Cloudflare bot protection. The screenshot and page details below show the page as it was captured.

Submitted: Completed: publiccompleted
This website contacted 20 IPs in 2 countries across 2 domains to perform 11 HTTP transactions. The main domain is caribbean-airlines.com and was registered 20 years ago.

Submitted URL: https://flights.caribbean-airlines.com/en/flights-from-fort-de-france

The Cisco Umbrella rank of the primary domain is #497,103 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Official Caribbean Airlines flight-deals page on its own 20-year-old domain, self-branded, no forms or threat-intel hits; Cloudflare challenge is routine bot protection. Legitimate.

Safety Factors (5)
20-year-old, well-established airline domain with matching self-branding
Legal pages present (Terms, Privacy Policy, Customer Service Plan, General Conditions of Carriage)
Zero credential or payment forms; no cross-origin credential exfiltration
All JavaScript served from the site's own domain; no third-party script hosts
No Indicators of Compromise, YARA, IDS, or known-kit matches
Domain age information unavailable

Details

Page Title

Cheap Flights from Fort-de-France (FDF) with Caribbean Airlinesother network

Scan Type

public

Domain Name Analysis

The domain 'flights.caribbean-airlines.com' uses the commercial generic top-level domain (.com) and includes subdomain 'flights'. The registrable portion 'caribbean-airlines' spans 18 characters split between eight vowels and 9 consonants, plus one hyphen. Word splitting yields two words: caribbean, airlines. Median word length comes out to 8.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://flights.caribbean-airlines.com/en/flights-from-fort-de-france

Page Load Overview

0.74s
Total Load Time
942 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:414 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software74% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
74%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11104.19.240.61Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.19.239.61Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.14.97Google · CDNUnited States
AS15169Google LLC
052.2.203.176Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
063.185.211.102Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
0192.178.183.113Google · CDNUnited States
AS15169Google LLC
0104.18.38.35Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0172.67.73.19Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0151.101.193.229Fastly · CDNUnited States
AS54113Fastly, Inc.
0157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1120--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19925A870B6490CBFA1DF82DBF050BD4665992053E0C9CED5FF2A8F8872C9B2C9615729

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:0F4qDh/6gvgB0+iR+rc635WF/wtI7bcFR0gxDwtI3wtIUQ3H0sQy:0Kv/746KwtI7b4R0ghwtI3wtIUQ3H0C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:962822:JZEIBBakZrWK0QRBYRG6ETAgKoZOsx0phKthAoAAN5iRIIWcHTECQYClEgiIIEmMLAgmEHRkIRoAEEIsQckKEYMJg4ICfStg

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data