Security Scan Report: runningwithmiles.boardingarea.com

Submitted: Sep 11, 2026, 7:14:10 PMCompleted: Sep 11, 2026, 7:15:58 PMpubliccompleted

Summary

This website contacted 196 IPs in 9 countries across 143 domains to perform 2 HTTP transactions. The main domain is runningwithmiles.boardingarea.com and was registered 9 years ago.

Submitted URL: https://runningwithmiles.boardingarea.com/the-us-lifts-their-do-not-travel-warning-what-does-this-mean-for-americans-and-travel/

The Cisco Umbrella rank of the primary domain is #301,965 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The page is a legitimate news article with no phishing, malware, or credential‑harvesting indicators.

Safety Factors
Established domain with long registration history
Physical address and business entity listed
Self‑branding consistent with domain
Article content (og:type=article) indicating news/reporting
Domain age information unavailable

Details

Page Title

The US Lifts Their "Do Not Travel" Warning - What Does This Mean for Americans and Travel? - Running with Miles

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(50%)

Domain Information

Domain 'runningwithmiles.boardingarea.com' uses the commercial generic top-level domain (.com) with subdomain 'runningwithmiles'. Its registrable label 'boardingarea' stretches across 12 characters split between 6 vowels and six consonants. Breaking it apart gives two words: boarding, area. Median word length comes out to six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://runningwithmiles.boardingarea.com/the-us-lifts-their-do-not-travel-warning-what-does-this-mean-for-americans-and-travel/

Page Load Overview

16.25s
Total Load Time
496
HTTP Requests
143
Domains
3.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:69,735 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
50%
travel tourism
41%
social media network
37%
news/blog
35%
forum
25%

Detected Features

Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10613.32.121.28Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.20.27.25Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.13.95Google · CDNUnited States
AS15169Google LLC
218.245.86.74Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
265.9.130.44Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.250.154.154Google · CDNUnited States
AS15169Google LLC
2192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
2142.251.13.97Google · CDNUnited States
AS15169Google LLC
2141.193.213.10United States
AS209242Cloudflare London, LLC
496196--

Page Statistics

496
Requests
143
Unique Domains
5.1 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AF23EA7AB0790A113BAE57BDA2C67358BA999540C6018FFB78FC603C59C45F701B732A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:8n5rGnSkZdyp2h8chzZG4yGLgId5GdT048+XzqmZZ+w/f:8nydyp+hzZG4paqOh/f

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47054:AdAgBVEQK8FgC0IASAOJCQXE1nYAHPA4AeIEBBILIKgCwhbqSCZwqcBARElEFcAUCSKDiIMBiwKgYUyiIFKC0AaAyBAGEpMg

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:00e7effff9c9fb9f
Perceptual Hash:e93636691c566947
Difference Hash:080c0e34d393da31
Wavelet Hash:00e7efc37941cb89
Color Hash:#3a783c

Scan History

Scan history not available

Unable to load historical scan data