Security Scan Report: assets.zuscoffee.com

Submitted: Mar 22, 2026, 5:22:34 PMCompleted: Mar 22, 2026, 5:24:17 PMpubliccompleted
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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 assets.zuscoffee.com and was registered NaN years ago.

Submitted URL: https://assets.zuscoffee.com

The Cisco Umbrella rank of the primary domain is #587,494 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 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

(51% confidence)

Category

documentation technical

(33%)

Domain Information

Within the commercial generic top-level domain (.com), 'assets.zuscoffee.com' is registered and includes subdomain 'assets'. The registrable portion 'zuscoffee' spans 9 characters holding 4 vowels versus 5 consonants. It segments into three words: zu, s, coffee. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://assets.zuscoffee.com

Page Load Overview

1.03s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:496 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical33% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
33%
cryptocurrency blockchain
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
265.9.175.124United States
AS16509Amazon.com, Inc.
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A25188A5EA931979153BC9E016FF676632E6C037D09E2224FA9CA39CCFCAC50B821501

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ca7PiFWN1QGTUe0427F9ANDAbk1ncqugukVPANyAgN+lFFNKvDA6ertF:niFWN15AN427zANAkczgumPANhgNcLNB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2896:QCAgEAgEgAgAhkAAEwEAgYAABEgIAAQgAQAAJACCAoEEBAQAAECIAZpAAAAEAAAAABQCAAAAUClAACAQCAAAAAQBAQQCCAJB

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:001fffffffffffff
Perceptual Hash:991919191d1f1e7e
Difference Hash:f8d0000000000000
Wavelet Hash:000f3f3ff0f0f0f0
Color Hash:#2d4986

Other Hashes

Crop Resistant:f8d0000000000000

Scan History

Scan history not available

Unable to load historical scan data