Security Scan Report: lolalytics.com

Submitted: Completed: publiccompleted
This website contacted 302 IPs in 13 countries across 221 domains to perform 1395 HTTP transactions. The main domain is lolalytics.com and was registered 10 years ago.

Submitted URL: https://lolalytics.com/

The Cisco Umbrella rank of the primary domain is #271,630 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 80%

3
Risk Score

Site appears legitimate but exhibits many redirects and a low ranking; proceed cautiously.

Risk Factors (2)
High number of redirects may indicate tracking or redirect abuse
Domain has a low reputation ranking despite being well‑established
Safety Factors (3)
Domain age of over 9 years (well‑established)
No malicious Indicators of Compromise matches found
No forms collecting credentials or payment information
Domain age information unavailable

Details

Page Title

League of Legends Analytics • LoLalytics • Patch 15.24

Scan Type

public

Domain Name Analysis

You're looking at domain 'lolalytics.com' on the commercial generic top-level domain (.com). The registrable portion 'lolalytics' spans 10 characters with three vowels and seven consonants. Segmentation suggests 3 words: lola, ly, tics. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lolalytics.com/

Page Load Overview

6.31s
Total Load Time
11.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,381 chars
Detector Agreement:80%

Website Classification

Primary Category

adult content60% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
60%
gambling betting
54%
documentation technical
49%
cryptocurrency blockchain
46%
technology software
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19191.227.144.189Amsterdam, North Holland, Netherlands
AS50245Serverel Inc.
480.77.87.166Clifton, New Jersey, United States
AS46636NATCOWEB
43.174.113.87United States
AS16509AMAZON-02
480.77.87.161Clifton, New Jersey, United States
AS46636NATCOWEB
4108.128.194.52Dublin, Leinster, Ireland
AS16509AMAZON-02
4104.96.128.188Vienna, Vienna, Austria
AS16625AKAMAI-AS
437.157.5.84Denmark
AS198622Adform A/S
452.17.47.172Dublin, Leinster, Ireland
AS16509AMAZON-02
4104.20.35.150United States
AS13335CLOUDFLARENET
469.173.144.137Germany
AS26667RUBICONPROJECT
1395302--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14F916326BAFD217E10A391A266FC63487AB0C513C76706A076ACC2391F5FF55FE17280

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:ljHjCIjuTkDa/D+DMFWC8/ZqXKHvpIkdlenR9WP3vaQxvbej:ljHjDjusa/SoWn8aHvFdlenyP3Cejej

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4519:hAAwAmUCAIAQJAgQJNACAAAADABQEAEgIkLAAKFAHICEAPAGAEwAAkAIICIgQAAKIApFhwCAIkghQATCBAAAAEAQCkigBQAG

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:e7ff0040e7ffff83
Perceptual Hash:b7748c94637a48d3
Difference Hash:0e264dcc8ca95b63
Wavelet Hash:87970040e7ffcf03
Color Hash:#53ac96

Scan History

Scan history not available

Unable to load historical scan data