Security Scan Report: welllondon.org.uk

Submitted: Feb 3, 2026, 4:14:16 AMCompleted: Feb 3, 2026, 4:16:26 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is welllondon.org.uk and was registered NaN years ago.

Submitted URL: https://welllondon.org.uk

AI Security Verdict

Low Risk

Confidence: 92%

3
Risk Score

Site appears legitimate but has an SSL misconfiguration; avoid sending sensitive data.

Risk Factors
Invalid SSL/TLS configuration (ERR_SSL_PROTOCOL_ERROR) – site does not provide a secure HTTPS connection
Safety Factors
Long-established domain (>14 years)
No malicious Indicators of Compromise detected
No credential or payment collection forms
No external links or suspicious redirects
Domain age information unavailable

Details

Page Title

welllondon.org.uk

Scan Type

public

Language

🇺🇸

English

(68% confidence)

Category

phishing scam

(38%)

Domain Information

Domain 'welllondon.org.uk' uses the United Kingdom country-code top-level domain (.org.uk) and has no subdomain. Count 10 characters in 'welllondon' split between 3 vowels and 7 consonants. Splitting it apart reveals two words: well, london. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://welllondon.org.uk

Page Load Overview

1.65s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:68%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:68%
Script Type:Latin
Text Length:69 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing scam38% confidence
Type: static
Method: ml+structural

All Detected Categories

phishing scam
38%
cryptocurrency blockchain
33%
technology software
31%
adult content
31%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
285.119.83.10London, England, United Kingdom
AS8943Jump Networks Ltd
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T138048F77329A063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:vfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszO2bMy8OldN:whoC9JSqzzbs6o3Sj3gcrs62eA7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184510:UxK2INMIQYaKJNenABsHyBBfDUQqlKSBIgQUFeOE2UErUUIIWTAgBjAI4dRS2AAExAoqAEpghIKEbMRDcIAEBkiuTQEWBpQB

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:ffc7c7c3f3ffffff
Perceptual Hash:b1319acecc653333
Difference Hash:001c181606000000
Wavelet Hash:fcdcc4c0f0f0f0f0
Color Hash:#3a783a

Other Hashes

Crop Resistant:001c181606000000

Scan History

Scan history not available

Unable to load historical scan data