Security Scan Report: en.thebell.io

Site favicon
Submitted: Sep 28, 2026, 6:27:45 AMCompleted: Sep 28, 2026, 6:28:41 AMpubliccompleted

This website contacted 27 IPs in 3 countries across 21 domains to perform 98 HTTP transactions. The main domain is en.thebell.io and was registered 32 years ago.

Submitted URL: https://en.thebell.io/meet-russias-new-economic-plan-same-as-the-old-plan/

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Established 2017 news outlet (The Bell) serving its own article content on its own domain. No credential/payment forms, no Indicators of Compromise, no YARA or Safe Browsing hits. Newsletter forms go to legitimate Mailchimp. Safe.

Safety Factors (4)
Established domain with minimal domain-age risk (WELL_ESTABLISHED, ~3466 days)
Business entity and physical address published (Polestar Digital Ventures Inc., Redwood City, CA)
All third-party script hosts except s3.amazonaws.com are top-1M ranked (Stripe, Google Analytics, Weglot, Mailchimp)
News/blog content classification with article semantics and clear editorial attribution
Domain age information unavailable

Details

Page Title

Meet Russia’s new economic plan, same as the old plan | The Bell

Scan Type

public

Domain Name Analysis

The domain name 'en.thebell.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'en'. The registrable portion 'thebell' spans 7 characters with 2 vowels and 5 consonants. Splitting it apart reveals two words: the, bell. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://en.thebell.io/meet-russias-new-economic-plan-same-as-the-old-plan/

Page Load Overview

3.59s
Total Load Time
3.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,144 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog50% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
50%
corporate
35%
government public service
34%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20104.20.38.162Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.20.95Google · CDNUnited States
AS15169Google LLC
3146.75.120.176Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3172.64.149.114Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
316.15.228.145Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
3104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
323.52.180.4Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
3142.251.110.97Google · CDNUnited States
AS15169Google LLC
377.88.21.119Yandex · CLOUDMoscow, Moscow, Russia
AS13238YANDEX LLC
9827--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T186643B25597311395923907D6BDF770830289007C546CA95BE9CA2988FC7FEB9AE3BCC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:+cfY52wL01hd6yA/PlZKhGXSJEM3snxPh3SACpD0oZcupeVRUsu6VRUsbu7vWs6o:+cfY52wL01hd6yA/PlZKhGXSJEM3snx2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:308184:hQ4CQQMEQuAUJQphIIYgAQgCEAgYIEYGIJFgFhYmiGRSQAHVQKUKEwogJUDBI2MEMJwiAAzpaAJdB4IGAoDAGUEVw2AJQQAK

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:00ffc38383c3fbff
Perceptual Hash:b916c7593a4b532c
Difference Hash:29281e2f3f1b322e
Wavelet Hash:00ffc3838383cbcf
Color Hash:#ad79d2

Scan History

Scan history not available

Unable to load historical scan data