Security Scan Report: carleton.ca

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Submitted: Sep 24, 2026, 11:42:53 PMCompleted: Sep 24, 2026, 11:43:52 PMpubliccompleted

This website contacted 30 IPs in 4 countries across 20 domains to perform 66 HTTP transactions. The main domain is carleton.ca and was registered 23 years ago.

Submitted URL: https://carleton.ca/news/story/mark-carney-canada-strong/

Windows:

The Cisco Umbrella rank of the primary domain is #292,605 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Carleton University news article analyzing political branding. Established 25-year-old domain, self-branded, no forms capturing credentials/payment, no threat-intel or malware signals. Legitimate.

Safety Factors (4)
Established 25-year-old domain with physical address visible
Article/about-brand content (news/blog, 70% classifier confidence) discussing Mark Carney, Pierre Poilievre, Stephen Harper, Justin Trudeau — reporting, not impersonation
All outbound requests go to normal analytics/CDN endpoints (TikTok analytics, LinkedIn pixel, Microsoft Clarity, Facebook connect)
No credential or payment collection anywhere on the page
Domain age information unavailable

Details

Page Title

Is Mark Carney's Canada Strong Brand Losing Support?

Scan Type

public

Domain Name Analysis

The domain name 'carleton.ca' uses the Canadian country-code top-level domain (.ca) with no subdomain. Its registrable label 'carleton' stretches across 8 characters holding three vowels versus 5 consonants. Tokenizing the label suggests 1 word: carleton. Average segment length settles at 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://carleton.ca/news/story/mark-carney-canada-strong/

Page Load Overview

3.76s
Total Load Time
2.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:9,413 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
70%
news
30%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8134.117.206.206Ottawa, Ontario, Canada
AS29773Carleton University
216.15.244.17Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
23.167.227.105Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2146.75.122.208Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
216.15.252.73Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
23.167.227.50Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23.167.227.37Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
252.216.8.219Aws · CLOUDAshburn, Virginia, United States
AS16509Amazon.com, Inc.
2142.251.14.97Google · CDNUnited States
AS15169Google LLC
223.194.190.166Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6630--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12213C831E29548763D4F476E4086A328729CFB11C905A7F7B0F8E05898C9AF714B7B2E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:99ep+EDq/hLPL28mFZXkWPo/AylU0b0WriZdSZUaApKCNkWGf:99epBsh28IH8b0RZdypkKCjGf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:45171:BMxlSGICILiq/DSDTgAGQiNRDQ2sIEjINEICQ2EkCIEAghwASgJqhBmiQBYpMIswE4hcFAYARAiYypDUBSBhVbljBI0ABYVi

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:ff8181818181ffff
Perceptual Hash:ea6ec59598903b72
Difference Hash:41070b31332b0829
Wavelet Hash:ff8101810181ffff
Color Hash:#d279cb

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data