Security Scan Report: typical-coffee-kkntbycrtp-1mrnc2sznw.edgeone.app

Submitted: Feb 22, 2026, 3:06:03 AMCompleted: Feb 22, 2026, 3:07:26 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is typical-coffee-kkntbycrtp-1mrnc2sznw.edgeone.app and was registered NaN years ago.

Submitted URL: https://typical-coffee-kkntbycrtp-1mrnc2sznw.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: 92%

2
Risk Score

Site shows no malicious indicators; appears benign.

Risk Factors
Subdomain on hosting platform with unknown creation date (moderate suspicion)
Safety Factors
No forms detected
No malicious Indicators of Compromise
No JavaScript malware
No network IDS alerts
Standard EdgeOne hosting platform
Domain age information unavailable

Details

Page Title

typical-coffee-kkntbycrtp-1mrnc2sznw.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(28%)

Domain Information

Within the application-focused generic top-level domain (.app), 'typical-coffee-kkntbycrtp-1mrnc2sznw.edgeone.app' is registered with subdomain 'typical-coffee-kkntbycrtp-1mrnc2sznw'. The second-level label 'edgeone' is 7 characters long with 4 vowels and three consonants. It segments into 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://typical-coffee-kkntbycrtp-1mrnc2sznw.edgeone.app/

Page Load Overview

2.25s
Total Load Time
3
HTTP Requests
2
Domains
15 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:183 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical28% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11E048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ZfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszA2bMy8OldG:OhoC9JSqzzbs6o3Sj3gcrs82eAE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184631:sAEkSSRAUIbADUlE/IewQMiqEI4BNCvKEEpFEyAKICBieDfhGGBKYEUhBwQgAQaEANBAgFEikGhACJRIgKIsiQuQiNAO4YWA

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#89d279

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data