Security Scan Report: landing-pages-visitor-events.cluster.app-us1.com

Submitted: Mar 9, 2026, 2:23:55 AMCompleted: Mar 9, 2026, 2:25:14 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 landing-pages-visitor-events.cluster.app-us1.com and was registered NaN years ago.

Submitted URL: https://landing-pages-visitor-events.cluster.app-us1.com

The Cisco Umbrella rank of the primary domain is #8,670 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

landing-pages-visitor-events.cluster.app-us1.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(49%)

Domain Information

Within the commercial generic top-level domain (.com), 'landing-pages-visitor-events.cluster.app-us1.com' is registered with subdomain 'landing-pages-visitor-events.cluster'. The core label 'app-us1' covers 7 characters with 2 vowels and 3 consonants; bonus characters include one digit and 1 hyphen. Breaking it apart gives 3 words: app, us, 1. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://landing-pages-visitor-events.cluster.app-us1.com

Page Load Overview

0.48s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:344 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software49% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
49%
news media journalism
49%
government public service
47%
adult content
42%
cryptocurrency blockchain
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
198.85.233.17United States
11--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:mfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz42bMy8Oldi:lhoC9JSqzzbs6o3Sj3gcrs82eAk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184882:gmIABgSk8gSLoagSIJBMMUFBAQVBEDFRVhANSCIKgAABRSKzCTB1IEWQAo4SFIwxVcEhJjEAEA5EAiwKQAVBihJUJGEAO2OC

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:ffcfc7c3f3ffffff
Perceptual Hash:b1319acccc333367
Difference Hash:00181c1606000000
Wavelet Hash:fcdcc0c0f0f8f0f0
Color Hash:#5e2d86

Other Hashes

Crop Resistant:00181c1606000000

Scan History

Scan history not available

Unable to load historical scan data