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Security Scan Report: human-coffee-wv4ydxcz-dpek1zqxn5ng.edgeone.app

Submitted: Jun 10, 2026, 3:27:07 PMCompleted: Jun 10, 2026, 3:28:24 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is human-coffee-wv4ydxcz-dpek1zqxn5ng.edgeone.app and was registered NaN years ago.

Submitted URL: https://human-coffee-wv4ydxcz-dpek1zqxn5ng.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: 45%

2
Risk Score

Low risk site with no forms or malicious indicators; unknown subdomain age but no evidence of phishing or malware.

Risk Factors
Unknown subdomain age
Low domain reputation ranking
Safety Factors
No credential or payment collection
No malicious scripts or YARA matches
No external links to suspicious domains
Domain age information unavailable

Details

Page Title

NEET Recovery OS 2027 Ultimate

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(96%)

Domain Information

Within the application-focused generic top-level domain (.app), 'human-coffee-wv4ydxcz-dpek1zqxn5ng.edgeone.app' is registered; it also runs on subdomain 'human-coffee-wv4ydxcz-dpek1zqxn5ng'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus 3 consonants. Tokenizing the label suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://human-coffee-wv4ydxcz-dpek1zqxn5ng.edgeone.app/

Page Load Overview

0.84s
Total Load Time
4
HTTP Requests
2
Domains
11 KB
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:3,131 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software96% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
96%
education learning
91%
government public service
91%
documentation technical
90%
healthcare medical
88%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.251.13.95United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1974185A6B250816C1AB29263DDA8B4FCFFB750C6FB13F020344600D8E2542AF8377D69

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nyFXdkcxyZCRpu3Bu4nc2aQbYysXkFI6NSNw8:nkX7McRpY0kbYBXkFIw8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2405:CAABAAKIUAAhAAAAAECAFABgAAEUIAJAgCAAIgGAAUgAJAQAggGgAgAAABAACAAAAEgIgAUIAhAIAlACEKEQAgAAAACAAAlA

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:aa2a2a2a2a2e7e5f
Difference Hash:6501000000000000
Wavelet Hash:003fffff00000000
Color Hash:#783a3a

Other Hashes

Crop Resistant:6501000000000000

Scan History

Scan history not available

Unable to load historical scan data