Security Scan Report: cf-main.eu-1.smooch.io

Submitted: Sep 27, 2026, 10:06:30 PMCompleted: Sep 27, 2026, 10:07:04 PMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is cf-main.eu-1.smooch.io and was registered 11 years ago.

Submitted URL: https://cf-main.eu-1.smooch.io

The Cisco Umbrella rank of the primary domain is #16,217 of the top 1 million websites

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

Server error

Scan Type

public

Domain Name Analysis

The domain name 'cf-main.eu-1.smooch.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'cf-main.eu-1'. Count 6 characters in 'smooch' split between 2 vowels and four consonants. It segments into 1 word: smooch. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cf-main.eu-1.smooch.io

Page Load Overview

0.28s
Total Load Time
14 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,012 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service95% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
95%
news media journalism
92%
cryptocurrency blockchain
90%
blog personal website
89%
education learning
86%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.53.5Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
1216.198.54.5Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T149E183B39787206B89F382913AA1BB7574A1CE32F49F904193769198CFC6DD5CD1B20D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:NLpL1IwyCGyfyZyhyDynyZrFysyryxyUyp:NLQwyJyfyZyhyDynyZ5ysyryxyUyp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7199:UIVhINqBKiBBEgiQOALOMJAAEgIGGkkGkAZCMqgKAhKkwLAFiWEbYAGAgA3YoANkZjIACpDWorgrw+C1AlVAgyQQIHEEnkEo

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:103c3c3c00000000
Perceptual Hash:88dd666666339933
Difference Hash:3133333325212121
Wavelet Hash:393d3d3d19193919
Color Hash:#1f6993

Scan History

Scan history not available

Unable to load historical scan data