Security Scan Report: cuddly-coffee-gamn4wneqf-ys0e9whwpa.edgeone.app

Submitted: Jan 26, 2026, 1:55:51 PMCompleted: Jan 26, 2026, 1:56:59 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is cuddly-coffee-gamn4wneqf-ys0e9whwpa.edgeone.app and was registered NaN years ago.

Submitted URL: https://cuddly-coffee-gamn4wneqf-ys0e9whwpa.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 suspicious activity detected; site appears legitimate.

Safety Factors
Well-established domain (>2 years)
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
No external domains or redirects
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain 'cuddly-coffee-gamn4wneqf-ys0e9whwpa.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'cuddly-coffee-gamn4wneqf-ys0e9whwpa'. The second-level label 'edgeone' is 7 characters long with 4 vowels and three consonants. It segments into two 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://cuddly-coffee-gamn4wneqf-ys0e9whwpa.edgeone.app/

Page Load Overview

0.71s
Total Load Time
2
HTTP Requests
1
Domains
7 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
HTML Lang Attribute:zh
Text Length:63 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

T13E02C6CAEBA305C9A82BC0682FFB5724222DE057C448CD5DB99E4F548F4518875EB3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBqXh1RaXQl:KrzhNK/lMHmGgdkqFd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8719:cA0C9nACBQMQNDWcAU2AhAAiSADMDQ0EMVEJCSiCyDKQAYEIgMT1wwKADc8GAPaggXicVQAmyOFaBMhBAAIGCCoCPCaWAAEB

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:dcfcfce0e0e0c0c0
Perceptual Hash:d89a983c6c6567c3
Difference Hash:3030100000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#4d3a78

Other Hashes

Crop Resistant:3030100000000000

Scan History

Scan history not available

Unable to load historical scan data