Security Scan Report: onefeed.co.uk

Redirected to:
https://www.onefeed.co.uk/
Site favicon
Submitted: May 14, 2026, 3:14:27 PMCompleted: May 14, 2026, 3:15:47 PMpubliccompleted
Loading additional data...

Summary

This website contacted 13 IPs in 2 countries across 14 domains to perform 169 HTTP transactions. The main domain is onefeed.co.uk and was registered NaN years ago.

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

Effective URL: https://www.onefeed.co.uk/Redirected

The Cisco Umbrella rank of the primary domain is #746,243 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Site shows strong malware indicators via IDS alerts despite no credential forms; treat as malicious and avoid usage.

Risk Factors
Critical IDS alerts showing malware C2 and data exfiltration activity
Low Cisco Umbrella ranking (rank #746,243)
Presence of multiple third‑party ad/tracking domains
Safety Factors
Self‑branded domain matches site title/meta tags
Long‑standing domain (registered 2009)
No password or payment fields in forms
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

Onefeed | Next-Generation PPC and Feed Management System

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(56%)

Domain Information

The domain 'onefeed.co.uk' uses the United Kingdom country-code top-level domain (.co.uk) and has no subdomain. Its registrable label 'onefeed' stretches across 7 characters split between 4 vowels and three consonants. Word splitting yields two words: one, feed. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

7.61s
Total Load Time
187
HTTP Requests
21
Domains
2.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-GB
Text Length:12,236 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software56% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
56%
documentation technical
42%
corporate
35%
news/blog
20%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1946.224.168.177Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
14141.193.213.11United States
AS209242Cloudflare London, LLC
14142.251.155.119United States
AS15169Google LLC
14104.17.25.14United States
AS13335Cloudflare, Inc.
14151.101.1.229United States
AS54113Fastly, Inc.
14142.251.13.97United States
AS15169Google LLC
14104.26.7.99United States
AS13335Cloudflare, Inc.
1499.84.152.115United States
AS16509Amazon.com, Inc.
14138.199.218.103Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
14142.251.127.155United States
AS15169Google LLC
18713--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192240773794E5936220F47EFA007730C6096EADBDA1295E0F0FE1268A7F5DE135A3258

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:xLP5o3otvDpq0UyvzPvgsTAjIVAatYHSLxfcWRiRxMlDTPKFEKoKWp5cY6z/nrCI:9P5o3otvDp1UOzPvgsTAjIVAatYHSLx6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:216333:GGQiQiBAVIIUppqRpGQoACCgqBBGBYEYYIBB+BAHGEXOLbUJMB6MQIBMOAMIlWqflgMYHCIkDDDJBcwIkIhEKGITA0jM8CpA

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:0000000000070707
Perceptual Hash:a45aa5565aa55b5a
Difference Hash:850515c585171657
Wavelet Hash:7f0101f7f7070707
Color Hash:#79d2d1

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data