Security Scan Report: typical-coffee-kkntbycrtp-8vs17mgte3.edgeone.app

Submitted: Feb 22, 2026, 1:41:49 AMCompleted: Feb 22, 2026, 1:43:14 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is typical-coffee-kkntbycrtp-8vs17mgte3.edgeone.app and was registered NaN years ago.

Submitted URL: https://typical-coffee-kkntbycrtp-8vs17mgte3.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: 95%

0
Risk Score

No security concerns detected; the site appears benign.

Safety Factors
No credential or payment collection fields
No external malicious links or resources
No cross‑origin credential exfiltration observed
Site returns a standard error page (no malicious content delivered)
Domain age information unavailable

Details

Page Title

typical-coffee-kkntbycrtp-8vs17mgte3.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(28%)

Domain Information

The domain 'typical-coffee-kkntbycrtp-8vs17mgte3.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'typical-coffee-kkntbycrtp-8vs17mgte3'. Count 7 characters in 'edgeone' holding four vowels versus 3 consonants. Splitting it apart reveals 2 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-8vs17mgte3.edgeone.app/

Page Load Overview

2.37s
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

T1A6048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:NfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszE2bMy8Olda:6hoC9JSqzzbs6o3Sj3gcrsA2eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184631:gmwJksDIbQIQMGYSAZGkJCQZYE8ICAFSkUYMBIMqGsQFoQVBKQiBAYTkBDfEwYZwiOhUF4cAFATPMDSgmckNAHDM4AIiSQhN

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:#2dd29e

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data