Security Scan Report: upper-coffee-5vppl1rebt-s4wzsxxqvh.edgeone.app

Submitted: Apr 27, 2026, 1:27:13 AMCompleted: Apr 27, 2026, 1:28:53 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is upper-coffee-5vppl1rebt-s4wzsxxqvh.edgeone.app and was registered NaN years ago.

Submitted URL: https://upper-coffee-5vppl1rebt-s4wzsxxqvh.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: 78%

2
Risk Score

Low risk site; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Unknown subdomain age on a hosting platform
Low Cisco Umbrella ranking (outside top 100K)
Potentially brand‑new subdomain
Safety Factors
No login or payment forms
No malicious Indicators of Compromise
No JavaScript malware detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

Contact Page

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain 'upper-coffee-5vppl1rebt-s4wzsxxqvh.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'upper-coffee-5vppl1rebt-s4wzsxxqvh'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 3 consonants. It segments into 2 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://upper-coffee-5vppl1rebt-s4wzsxxqvh.edgeone.app/

Page Load Overview

0.32s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:84 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19DF00ECE4A81201AB48253243D8B340274444213CDEFFC34A57B28FCEEE96C48C1510C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:haxf3SRMF8a0XjdPVrui6R4AzNrVyh6BgYVYj:haBiuYGVKqUj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:342ee0d444ef2daf99efdca9994de99a

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:3c18000000000000
Perceptual Hash:ce8e8e8a99999999
Difference Hash:2a28100000000000
Wavelet Hash:dbdbc3c300000000
Color Hash:#ade06c

Other Hashes

Crop Resistant:2a28100000000000

Scan History

Scan history not available

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