Security Scan Report: billing-usage.cluster.app-us1.com

Submitted: Mar 30, 2026, 8:29:08 AMCompleted: Mar 30, 2026, 8:30:54 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is billing-usage.cluster.app-us1.com and was registered NaN years ago.

Submitted URL: https://billing-usage.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

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'billing-usage.cluster.app-us1.com' uses the commercial generic top-level domain (.com), featuring subdomain 'billing-usage.cluster'. Count 7 characters in 'app-us1' holding 2 vowels versus 3 consonants, along with one digit and one hyphen. Breaking it apart gives 3 words: app, us, 1. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://billing-usage.cluster.app-us1.com

Page Load Overview

0.74s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:22 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
298.89.11.87Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T106C0C072C420050E1132EBECCDC2B10C8FC4B30DE0314C01B5C0E0A0CAD7A0FC403284

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iL2lMFjJUKYS8K4FLfRRyIdlEbXItKB4:qzxV/5VHHQYk/B96llMZJTYNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:81ff3fbbff9146ba14a5b51c06691dd2

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:00ffffffffffffff
Perceptual Hash:87070707070f1f7f
Difference Hash:8000000000000000
Wavelet Hash:00fff0f0f0f0f0f0
Color Hash:#79d2a3

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data