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Security Scan Report: spicy-coffee-nz3jsfh6hb-4w8coijllm.edgeone.app

Submitted: May 18, 2026, 5:22:58 PMCompleted: May 18, 2026, 5:24:07 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 spicy-coffee-nz3jsfh6hb-4w8coijllm.edgeone.app and was registered NaN years ago.

Submitted URL: https://spicy-coffee-nz3jsfh6hb-4w8coijllm.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: 75%

2
Risk Score

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

Risk Factors
Unknown subdomain creation date (could be brand‑new)
Low domain ranking in Cisco Umbrella
Safety Factors
No credential or payment collection forms
No external malicious links or IoC matches
No JavaScript malware or credential exfiltration behavior
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'spicy-coffee-nz3jsfh6hb-4w8coijllm.edgeone.app' is registered and includes subdomain 'spicy-coffee-nz3jsfh6hb-4w8coijllm'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 3 consonants. Word splitting yields 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://spicy-coffee-nz3jsfh6hb-4w8coijllm.edgeone.app/

Page Load Overview

2.79s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:74%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:88 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
2101.33.10.57Frankfurt am Main, Hesse, Germany
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10002D6CAEBA305C9682BC0682FFF5724222DE057C449CD5DB9AE0F148F4518475EA3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBXRh1RaXQl:KrzhNK/lMHmGgdkqod

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8768:IAWG1nQCBQMQNDUcBU2AhAAiSAXGHTwAMFAJGAIKiDPUIIGoIMR0wwKACYcCANaAgTicVQLmSEBaDAlJAAIGCCpCeCaWAA0h

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:da9a983c6c6563c3
Difference Hash:3038500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#aebf40

Other Hashes

Crop Resistant:3038500000000000

Scan History

Scan history not available

Unable to load historical scan data