Security Scan Report: internal-coffee-igoyycdead-h5i26xmhy8.edgeone.app

Submitted: Jan 19, 2026, 2:54:46 AMCompleted: Jan 19, 2026, 2:56:15 AMpubliccompleted
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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 internal-coffee-igoyycdead-h5i26xmhy8.edgeone.app and was registered NaN years ago.

Submitted URL: https://internal-coffee-igoyycdead-h5i26xmhy8.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; site appears legitimate.

Safety Factors
Domain is >2 years old
Minimal risk category from reputation analysis
No forms collecting sensitive data
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(71% confidence)

Category

news media journalism

(39%)

Domain Information

You're looking at domain 'internal-coffee-igoyycdead-h5i26xmhy8.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'internal-coffee-igoyycdead-h5i26xmhy8'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. Breaking it apart gives two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://internal-coffee-igoyycdead-h5i26xmhy8.edgeone.app/

Page Load Overview

0.63s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:71%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:71%
Script Type:Latin
Text Length:59 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism39% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
39%

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

T1C5810D05EFA7142C8567F86E0E5B660DF119C0233A06D94979CC8E406F858E5A6FEEE8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:EQfe4uBolBD/ERTHTMTMMbxKqiQR2VTQDWHt:EaenAhcTHTMTMMbxKqiQR2VTQDWHt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4008:ICgAMAAAjAQAQDJIAAAF0Qw5AERlCQIAEGAAIAAoAggSgsAAAGAggABAAGIAAAhBswBACCABAEBQQEAIABwKBMBgkAAACpCZ

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:0f0f0fffffffffff
Perceptual Hash:b9393931c6c6c6c6
Difference Hash:1a1a180010000000
Wavelet Hash:000000f0f0f0f0f0
Color Hash:#4093bf

Scan History

Scan history not available

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