Security Scan Report: theargus.co.uk

Redirected to:
https://www.theargus.co.uk/
Submitted: Oct 1, 2026, 12:05:23 PMCompleted: Oct 1, 2026, 12:06:01 PMpubliccompleted

This website contacted 38 IPs in 5 countries across 2 domains to perform 3 HTTP transactions. The main domain is theargus.co.uk and was registered 26 years ago.

Submitted URL: https://theargus.co.uk

Effective URL:

https://www.theargus.co.uk/
Redirected

The Cisco Umbrella rank of the primary domain is #342,774 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate 26-year-old Brighton regional newspaper (The Argus). Real news content matching its own brand, no threat-intel hits, no credential or payment forms. The scanner block page is ordinary bot protection.

Safety Factors (5)
Established domain age of 9736 days
Self-branding: page title/meta match the site's own domain and brand
Physical address visible in publisher information
No credential or payment collection forms present
No Indicators of Compromise, YARA, IDS, or behavioral red flags
Domain age information unavailable

Details

Page Title

Brighton and Sussex News, Sport, Events - Brighton Argus

Scan Type

public

Domain Name Analysis

Domain 'theargus.co.uk' uses the United Kingdom country-code top-level domain (.co.uk) while skipping any subdomain. Its registrable label 'theargus' stretches across 8 characters containing three vowels alongside 5 consonants. Breaking it apart gives two words: the, argus. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://theargus.co.uk

Page Load Overview

0.29s
Total Load Time
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:67%
Script:Latin
Direction:ltr

Detection Details

Text Length:182 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical56% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
56%
adult content
56%
technology software
52%
news media journalism
49%
phishing scam
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3150.171.110.56Azure · CLOUDUnited States
AS8075Microsoft Corporation
020.90.133.1Azure · CLOUDLondon, England, United Kingdom
AS8075Microsoft Corporation
0192.0.66.159San Francisco, California, United States
AS2635Automattic, Inc
0142.251.14.95Google · CDNUnited States
AS15169Google LLC
0151.101.129.155Fastly · CDNUnited States
AS54113Fastly, Inc.
023.52.181.12Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
013.33.187.16Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
0142.251.13.154Google · CDNUnited States
AS15169Google LLC
0104.26.13.204Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
03.174.46.93Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
338--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137C45C05B8E11933416322E6B6F926059F51F10BE54E8888F2EC47E87FD7EA57D2329C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:G/l5+K0jNxTetidGqPRWneubBDaQfEmG5SbCFxeer3JrXxIhLy8KaggW81Ry/Oyr:2eKcPemIeubhENlrC7aT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:569869:FMEDgAAVQAAJBZHTCFCuO0Npog4i6BYUKHQUGEcISBQgopGoACOOIaSCBhhIcClAs2OkUQxICqiGDgCwKoAQAw4CpikkFHWW

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:00003c3c3c3c0000
Perceptual Hash:cf99649a18e69b8c
Difference Hash:2370797971692e06
Wavelet Hash:00833f3ffcfcc000
Color Hash:#6fd22d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data