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Security Scan Report: loopnet.co.uk

Redirected to:
https://www.loopnet.co.uk/
Site favicon
Submitted: May 21, 2026, 6:55:56 PMCompleted: May 21, 2026, 6:57:52 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is loopnet.co.uk and was registered NaN years ago.

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

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

The Cisco Umbrella rank of the primary domain is #320,769 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Access Denied

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

technology software

(49%)

Domain Information

The domain name 'loopnet.co.uk' uses the United Kingdom country-code top-level domain (.co.uk). The registrable portion 'loopnet' spans 7 characters with 3 vowels and 4 consonants. It segments into 2 words: loop, net. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

7.32s
Total Load Time
3
HTTP Requests
2
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
Script Type:Latin
Text Length:211 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software49% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
49%
documentation technical
49%
cryptocurrency blockchain
44%
phishing scam
39%
adult content
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
323.67.142.172Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
31--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ACD02B9FE016601BAE001A822CF23140F9D5203632C717C8F787E8878E05EAEC406524

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwyEr6VPWxxdGztASRMRfWgxHdicdgM4a4dnHdicdoxGKqz:kxVRpedgGdx9/PZ4dn9/Zj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:5075fd36e4e02969e82e43dc7f0b7cab

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:3f3fffffffffffff
Perceptual Hash:830307070707fffd
Difference Hash:e040000000000000
Wavelet Hash:1030f0f0f0f0f0f0
Color Hash:#87c5bb

Other Hashes

Crop Resistant:e040000000000000

Scan History

Scan history not available

Unable to load historical scan data