Security Scan Report: www.reviews.co.uk

Redirected to:
https://www.reviews.io/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 61 IPs in 4 countries across 49 domains to perform 326 HTTP transactions. The main domain is reviews.co.uk and was registered 29 years ago.

Submitted URL: https://www.reviews.co.uk

Effective URL:
https://www.reviews.io/
Redirected

The Cisco Umbrella rank of the primary domain is #41,786 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 80%

1
Risk Score

reviews.co.uk redirects to reviews.io, the brand's own established review-platform site. Self-branded, email-only forms, no IoC, YARA or IDS phishing/malware hits. Legitimate.

Safety Factors (5)
Destination www.reviews.io is the established brand owner of the 'reviews' name — self-branding, not impersonation
No credential or payment form present; only email capture for trial/newsletter
No Indicators of Compromise, no JavaScript malware patterns, no known malicious kit
Cross-origin posts are legitimate same-brand SSO and form-backend services
Cloudflare Turnstile present, consistent with an ordinary SaaS signup flow
Domain age information unavailable

Details

Page Title

REVIEWS.io - Company & Product Review Collection

Scan Type

public

Domain Name Analysis

Within the United Kingdom country-code top-level domain (.co.uk), 'www.reviews.co.uk' is registered, featuring subdomain 'www'. The second-level label 'reviews' is 7 characters long containing 3 vowels alongside 4 consonants. Tokenizing the label suggests one word: reviews. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.reviews.co.uk

Page Load Overview

3.45s
Total Load Time
11.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:10,251 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software64% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
64%
e-commerce shopping
48%
documentation technical
31%
corporate
25%
phishing/scam
20%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26172.64.154.194Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5172.64.154.17Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5142.251.20.95Google · CDNUnited States
AS15169Google LLC
5104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5104.18.14.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
513.226.247.129Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5146.75.122.132Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5142.251.127.95Google · CDNUnited States
AS15169Google LLC
5142.251.13.94Google · CDNUnited States
AS15169Google LLC
5104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
32661--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T133B4F9A97119083971074AFCEB2BB715F226D01FEA224496FAFD97A80FC1C4D853789D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:FoIxHghec4hDOfNp7/j38wHklnwIygodB0qd4w2UvCz0YoyIUtt:4hec4lOX7YwElHygodB0qd4whxUT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:540011:IIIaB5UAgQMKAskxTAlA6GA8crwAEE4wDCqJsgJEgLMAVIAIDUaJUwNFghEAhBBhkCOBgT4OoUxEFQ4KBQIHEKSDA5gSgNDA

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:fdf19191f0d1f1df
Perceptual Hash:ea6e95d3d3251843
Difference Hash:2921252529290735
Wavelet Hash:fd919190f0d1f18d
Color Hash:#ac539f

Other Hashes

Crop Resistant:2921252529290735

Scan History

Scan history not available

Unable to load historical scan data