Security Scan Report: www.welovelotto.com

Site favicon
Submitted: Jan 6, 2026, 9:09:44 AMCompleted: Jan 6, 2026, 9:14:37 AMpubliccompleted
Loading additional data...

Summary

This website contacted 18 IPs in 3 countries across 15 domains to perform 244 HTTP transactions. The main domain is welovelotto.com and was registered NaN years ago.

Submitted URL: https://www.welovelotto.com/

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Site appears legitimate but unranked; proceed cautiously.

Risk Factors
Domain is unranked in Cisco Umbrella (low reputation) while presenting a login form
Safety Factors
Long domain age indicating established presence
No external links or redirects
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Buy Lottery Tickets Online in US | Online Lotto Tickets

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

gambling betting

(83%)

Domain Information

Domain 'www.welovelotto.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The core label 'welovelotto' covers 11 characters holding 5 vowels versus 6 consonants. Splitting it apart reveals four words: we, love, lot, to. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.welovelotto.com/

Page Load Overview

8.61s
Total Load Time
151
HTTP Requests
7
Domains
15.8 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
Text Length:30,187 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting83% confidence
Type: webapp
Method: ml+structural

All Detected Categories

gambling betting
83%
entertainment media
45%
adult content
36%
social_media
25%
forum
20%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1935.178.217.110City of London, England, United Kingdom
AS16509AMAZON-02
15216.239.32.36United States
AS15169GOOGLE
8142.250.186.132United States
AS15169GOOGLE
813.43.177.157City of London, England, United Kingdom
AS16509AMAZON-02
818.66.137.160United States
AS16509AMAZON-02
8172.217.23.99United States
AS15169GOOGLE
852.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
8142.250.186.162United States
AS15169GOOGLE
8142.250.185.232United States
AS15169GOOGLE
818.66.137.82United States
AS16509AMAZON-02
15118--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T167F421B1E4F5202781CB9091BA716B1EBF52B207CB0A0545B7BC07946FD3CA9EE5B25C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:JmX9+veRmzmm2J21fFVjy7cmaoGzNo/LmAVW3fBV35H8h:UmguNo/LmAVWP0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:782268:2goDBEATgEWROOAg0w0liACChgF0GADkhUAGgcQqgBAFMBAqYEBGWKQBEFKM4YAhJlAQZAr9GL0VRgTABmDKIEHCQQYrahAA

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:0081c1e3ffffffef
Perceptual Hash:ed49121616696bbd
Difference Hash:d01323031627130c
Wavelet Hash:0081c1e1c3ffc7e7
Color Hash:#d2799b

Scan History

Scan history not available

Unable to load historical scan data