Security Scan Report: cleaningtheglass.com

Submitted: Oct 23, 2025, 11:19:26 PMCompleted: Oct 23, 2025, 11:21:57 PMpubliccompleted
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Summary

This website contacted 55 IPs in 2 countries across 12 domains to perform 49 HTTP transactions. The main domain is cleaningtheglass.com and was registered NaN years ago.

Submitted URL: https://cleaningtheglass.com/stats/player/4870

AI Security Verdict

High Risk

Confidence: 78%

10
Risk Score

High risk due to URL manipulation; likely phishing attempt.

Risk Factors
URL manipulation (potential phishing technique)
Unranked domain status (low reputation indicator)
Domain age information unavailable

Details

Page Title

Jonathan Kuminga /// Stats /// Cleaning the Glass

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(33%)

Domain Information

The domain name 'cleaningtheglass.com' uses the commercial generic top-level domain (.com). The registrable portion 'cleaningtheglass' spans 16 characters holding 5 vowels versus 11 consonants. Tokenizing the label suggests 3 words: cleaning, the, glass. Median word length is five characters. 'cleaning' most often appears in English. You will also see it in Chinese (Pinyin) and Chinese (Zhuyin) contexts.

Screenshot

Security scan screenshot of https://cleaningtheglass.com/stats/player/4870

Page Load Overview

1.53s
Total Load Time
49
HTTP Requests
12
Domains
1.6 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:4,189 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content33% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
33%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4952.222.136.119United States
AS16509AMAZON-02
25104.236.227.134Clifton, New Jersey, United States
AS14061DIGITALOCEAN-ASN
9184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
352.222.136.107United States
AS16509AMAZON-02
2104.21.27.152United States
AS13335CLOUDFLARENET
2142.250.184.234United States
AS15169GOOGLE
2142.251.140.170United States
AS15169GOOGLE
1104.16.85.23United States
AS13335CLOUDFLARENET
118.66.137.186United States
AS16509AMAZON-02
1142.250.185.163United States
AS15169GOOGLE
4955--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BCB30810BCE6F533823704D8ACDB3F2134D66607D2E50A4978AC4BF65FA2D946C6B52E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FZq4TGqweubzCdJJPigS/uvodxBPGUJbnD3LvTvxXxjhHRrxXjBjV7xLdjR1S2ii:XVGqweubuhPigS/uAXBOC9SRSYU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:114897:ykKAhIVQBGs4StwgeOLigeCsXgIAqrDCikSaCDQNWwBJGCBQkAFNCaYOALqIVIiAQSQExQEExIWFCgmJoAjTcJQ4QeDFhAPA

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:0000ffffdfffbfff
Perceptual Hash:9c604638794f70bf
Difference Hash:20e2e0f018387070
Wavelet Hash:00007f3f0f5f1f1e
Color Hash:#9479d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data