Security Scan Report: zealous-coffee-2zoyhsxwfm-l0njcp7mcb.edgeone.app

Submitted: May 6, 2026, 3:14:40 AMCompleted: May 6, 2026, 3:16:11 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 28 HTTP transactions. The main domain is zealous-coffee-2zoyhsxwfm-l0njcp7mcb.edgeone.app and was registered NaN years ago.

Submitted URL: https://zealous-coffee-2zoyhsxwfm-l0njcp7mcb.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

The site shows low risk: no forms or malicious code, but the subdomain is newly created and unranked, so treat cautiously.

Risk Factors
Unknown subdomain age
Low domain ranking in Cisco Umbrella
Safety Factors
No login or payment forms
No credential exfiltration or malicious JavaScript behavior
No external malicious links or IoC matches
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

entertainment media

(43%)

Domain Information

The domain 'zealous-coffee-2zoyhsxwfm-l0njcp7mcb.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'zealous-coffee-2zoyhsxwfm-l0njcp7mcb'. Count 7 characters in 'edgeone' containing four vowels alongside three consonants. It segments into two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zealous-coffee-2zoyhsxwfm-l0njcp7mcb.edgeone.app/

Page Load Overview

0.78s
Total Load Time
10
HTTP Requests
3
Domains
145 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
Script Type:Latin
Text Length:19,458 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media43% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
3142.251.20.94United States
AS15169Google LLC
3192.178.183.95United States
AS15169Google LLC
103--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11A5394A5B1F250375873C0E1766D4BABB684E607CE26424276EE87A45FC6DF0F933248

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:4//oHEdhvBq+fiYAKgsDjFARDO+/+z32E:1aXfiWg2eRfs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:63928:gUwkAZBjWUHwQBLAJyxjBUgE3jgEUhBQQywIBLBDhACApQAfFuMJAFAozIUENgglBFBEKlJNRwIdyAIgBbpCw4UkgENIRgqQ

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:c3c3c7ffffffffff
Perceptual Hash:b0343074cf9b9b93
Difference Hash:96969e16161e181e
Wavelet Hash:c2c2c3c3c3c3cfc3
Color Hash:#753a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data