Security Scan Report: www.thecontrail.org

Site favicon
Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 10 domains to perform 44 HTTP transactions. The main domain is thecontrail.org and was registered 1 year 6 months ago.

Submitted URL: https://www.thecontrail.org/a-passenger-plane-was-reportedly-hit-at-riyadhs-main-airport/

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Independent aviation news article on thecontrail.org covering reported attacks on Saudi airports. No forms, no credential or payment collection, no threat-intel, malware or IDS hits. Self-branded site on a 559-day-old domain; nothing malicious found.

Safety Factors (5)
Domain registered 559 days ago (established, low risk category)
Article/news page type with clear editorial attribution, byline credit (Photo by Bornil Amin / Unsplash), and copyright footer
No forms, no password/payment fields, no credential handling on the page
No threat-intel matches, no YARA malware, no IDS alerts, no obfuscated or suspicious JavaScript
Self-branding consistent with the domain; brand names mentioned (Saudia, Delta, Riyadh Air, Houthis) are subjects being reported on, not entities the page claims to be
Domain age information unavailable

Details

Page Title

Riyadh Airport Attack: Plane Reportedly Hit in Houthi Strike

Scan Type

public

Domain Name Analysis

Domain 'www.thecontrail.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'www'. The second-level label 'thecontrail' is 11 characters long with four vowels and seven consonants. Word splitting yields 2 words: the, contrail. Expect 5.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.thecontrail.org/a-passenger-plane-was-reportedly-hit-at-riyadhs-main-airport/

Page Load Overview

2.26s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:4,481 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news/blog
35%
corporate
35%
news media journalism
28%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9146.75.123.7Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5146.75.120.176Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5142.251.13.95Google · CDNUnited States
AS15169Google LLC
5144.76.236.44Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
5146.75.122.208Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
550.112.42.206Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
448--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T139D35BB345C428A2526397C173B936AC5D1780BBFD8786997B9C0304EFC97378562AF8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Fq1G9yZm13lmbHlmbPhwDlN19NThRjbTrbB28ayKCysOzf8X952uRfPidZd1FBJN:bIwwFwQIlWiL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:134692:FICMII8ACygOBAAUNXAIAdKTTjaAF+QIegDUySYTPCCIluGQUIwcApEWEItcpuwIIAgQZC4QJAAIGUVe0BZEGAiKoGPiAQKk

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:ffdb8181818181ff
Perceptual Hash:bc8ad46bd22b1c8e
Difference Hash:6923333b2b2b2bb4
Wavelet Hash:ffdb8181818181ff
Color Hash:#b279d2

Scan History

Scan history not available

Unable to load historical scan data