Security Scan Report: gigantic-coffee-y1amv4bcxk-4d4ya86a7o.edgeone.app

Submitted: Jan 11, 2026, 5:11:57 AMCompleted: Jan 11, 2026, 5:13:19 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is gigantic-coffee-y1amv4bcxk-4d4ya86a7o.edgeone.app and was registered NaN years ago.

Submitted URL: https://gigantic-coffee-y1amv4bcxk-4d4ya86a7o.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: 92%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Domain age > 1 year
No forms detected
Low risk category from analysis
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'gigantic-coffee-y1amv4bcxk-4d4ya86a7o.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'gigantic-coffee-y1amv4bcxk-4d4ya86a7o'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside 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://gigantic-coffee-y1amv4bcxk-4d4ya86a7o.edgeone.app/

Page Load Overview

10.12s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:65%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:65%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:93 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

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

T11202C5CAEBE306C9A82BC0682FFB5724232DE053C448C95DB99E0F548F4518475EA3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBpnh1RaXQl:KrzhNK/lMHmGgdkqad

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8781:IAUC13AKFQMwtF0cgW+ChAQiSAmELQQAMFiJgAACiDKaAIEKAsR0w0qACY8GAtaBgTi8VQQmTFBaBApBIiIGSCqTOCbXAAEJ

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:dcfcfcc0e0e0c0c0
Perceptual Hash:da9a989c6c6561e3
Difference Hash:3038580000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#ac9053

Other Hashes

Crop Resistant:3038580000000000

Scan History

Scan history not available

Unable to load historical scan data