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Security Scan Report: typical-coffee-kkntbycrtp-4ep7xftmcu.edgeone.app

Submitted: Feb 20, 2026, 5:00:17 PMCompleted: Feb 20, 2026, 5:01:48 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 typical-coffee-kkntbycrtp-4ep7xftmcu.edgeone.app and was registered NaN years ago.

Submitted URL: https://typical-coffee-kkntbycrtp-4ep7xftmcu.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No security concerns detected; site appears legitimate but currently unreachable.

Safety Factors
Established domain age
Absence of credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
Site returns standard error page (no malicious content)
Domain age information unavailable

Details

Page Title

typical-coffee-kkntbycrtp-4ep7xftmcu.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(28%)

Domain Information

Domain 'typical-coffee-kkntbycrtp-4ep7xftmcu.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'typical-coffee-kkntbycrtp-4ep7xftmcu'. The second-level label 'edgeone' is 7 characters long split between four vowels and 3 consonants. Splitting it apart reveals two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://typical-coffee-kkntbycrtp-4ep7xftmcu.edgeone.app/

Page Load Overview

2.48s
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
AS139341ACE
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D5048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszkBDQ07hB2r82bMy8Oldq:UhoC9JSqzzbs6o3Sj3gcrsYBDQ07hB2W

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184631:iCCigSbMQgQQAhIAbJFEQJSzVAC+iwIyVUAFLIQKGdlgNbZBLFhTQ4jBgRJi4GDBAPjAFFlFEBBBBIUMmIVIEQMkANgiiKQq

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:#8e87c5

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data