Security Scan Report: www.canadianaffairs.news

Submitted: Sep 27, 2026, 12:03:41 AMCompleted: Sep 27, 2026, 12:04:39 AMpubliccompleted

This website contacted 21 IPs in 3 countries across 21 domains to perform 141 HTTP transactions. The main domain is canadianaffairs.news and was registered 6 years ago.

Submitted URL: https://www.canadianaffairs.news/2026/09/08/trump-says-he-will-remove-canadian-products-from-government-contracts/

AI Security Verdict

Safe Website

Confidence: 90%

0
Risk Score

Legitimate Canadian news outlet (canadianaffairs.news, 3+ years old) serving an AFP-bylined politics article. Self-branded, same-origin subscription/comment login forms only, with no threat-intel, malware, or phishing indicators.

Safety Factors (4)
Well-established domain (1291 days / ~3.5 years old)
Article-style content with author attribution (Agence France Presse) and editorial sections
Same-origin forms only; no payment-card capture fields and no disguised or orphan password fields
No threat-intelligence matches, no JavaScript malware, no network IDS alerts
Domain age information unavailable

Details

Page Title

Trump says he will "remove" Canadian products from government contracts - Canadian Affairs

Scan Type

public

Domain Name Analysis

The domain 'www.canadianaffairs.news' uses the .news top-level domain and includes subdomain 'www'. Count 15 characters in 'canadianaffairs' containing 7 vowels alongside eight consonants. Breaking it apart gives 2 words: canadian, affairs. Average segment length settles at 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.canadianaffairs.news/2026/09/08/trump-says-he-will-remove-canadian-products-from-government-contracts/

Page Load Overview

0.14s
Total Load Time
2.7 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-CA
Text Length:9,024 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network76% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
76%
government public service
54%
adult content
52%
news/blog
50%
corporate business
47%

Detected Features

Login Form
Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21192.0.78.200San Francisco, California, United States
AS2635Automattic, Inc
6192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
6192.0.77.37San Francisco, California, United States
AS2635Automattic, Inc
6192.0.66.159San Francisco, California, United States
AS2635Automattic, Inc
6192.0.77.32San Francisco, California, United States
AS2635Automattic, Inc
6192.0.66.2San Francisco, California, United States
AS2635Automattic, Inc
652.17.99.225Aws Β· CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
6192.0.78.189San Francisco, California, United States
AS2635Automattic, Inc
6192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
6142.251.14.154Google Β· CDNUnited States
AS15169Google LLC
14121--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1203429E294285DF7023B67CAAA96B73470EEB115EB0185C1F7FE827857C4DA17D23209

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:FjfY2+K78Txfx51IQKllzKTktKWZucMVJYQike6:TsB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:231267:IUUQGGAKQAkFIuYEIiBHAsGUIBK0lZIAgtECNo4SEIZCEEaRDGgCJALkSW0UxAUuiWABME1YTMI4BbOIFIESCkSMCcRIjgSC

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:ffffffff87878787
Perceptual Hash:bec1333ec1c13e32
Difference Hash:0b3c2c082d2f2f2f
Wavelet Hash:e1bf878787838383
Color Hash:#ac5391

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data