ScanMalware.com

Security Scan Report: go.ly

Redirected to: https://www.lustermax.com/booking-calendar/1-on-1-work-session-w-darren-jay?source=Future4200&medium=Banner&campaign=first_month&term=&content=&referral=book_button_widget

Submitted: Jan 5, 2026, 7:49:18 PMCompleted: Jan 5, 2026, 7:57:04 PMpubliccompleted
Loading additional data...

Summary

This website contacted 9 IPs in 1 country across 12 domains to perform 158 HTTP transactions. The main domain is lustermax.com and was registered NaN years ago.

Submitted URL: https://go.ly/GpCzM

Effective URL: https://www.lustermax.com/booking-calendar/1-on-1-work-session-w-darren-jay?source=Future4200&medium=Banner&campaign=first_month&term=&content=&referral=book_button_widgetRedirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate marketing page with email capture; no security concerns detected.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No credential or payment collection
Consistent branding between URL and page content
Domain age information unavailable

Details

Page Title

The Luster Max Protocol: CRC Done Right

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(84%)

Domain Information

Within the Libyan country-code top-level domain (.ly), 'go.ly' is registered and has no subdomain. Its registrable label 'go' stretches across 2 characters containing one vowel alongside one consonant. Splitting it apart reveals one word: go. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://go.ly/GpCzM

Page Load Overview

0.77s
Total Load Time
158
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:1,204 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business84% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

corporate business
84%
documentation technical
69%
news media journalism
50%
adult content
29%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9834.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
223.88.79.141Ashburn, Virginia, United States
AS14618AMAZON-AES
1865.8.131.55United States
AS16509AMAZON-02
1765.8.131.77United States
AS16509AMAZON-02
17172.67.181.177United States
AS13335CLOUDFLARENET
173.83.210.77Ashburn, Virginia, United States
AS14618AMAZON-AES
334.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2151.101.130.217United States
AS54113FASTLY
134.149.206.255Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1589--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T107458DB4B104483C9F5763ACF30BBD5DA59938018E9212ABFCE959D46AD32F602D731E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:X6k51b7yhWliv9HZMEVMxDJX8zrlDuQRrN27cHUs145FYW4BZcE99weuyvpsCCUo:X6M1b7YFPVmB8XlDuQRN27c0JMWTFH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1208411:iesKIkiEgAewoB0RDA8DwSIZR0gBIggE1FLR8KRBAygisEAFlM1iEBkNA5gEIQEWNAEQQkCBA5JTESCUCRkOQEGrYlkeBsAB

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:ffffffc3c3c3c3c7
Perceptual Hash:b6cf993426cc9998
Difference Hash:080c0c0d0d1d1f1d
Wavelet Hash:ffffe78303030301
Color Hash:#8c1f93

Other Hashes

Crop Resistant:080c0c0d0d1d1f1d,80e773f169c8bf7b

Scan History

Scan history not available

Unable to load historical scan data