Security Scan Report: internal-coffee-igoyycdead-0lsfyq4hvv.edgeone.app

Submitted: Jan 19, 2026, 3:00:49 AMCompleted: Jan 19, 2026, 3:02:17 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is internal-coffee-igoyycdead-0lsfyq4hvv.edgeone.app and was registered NaN years ago.

Submitted URL: https://internal-coffee-igoyycdead-0lsfyq4hvv.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 suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
No credential or payment collection fields
No malicious Indicators of Compromise
No redirects or external links
Content appears benign (no brand impersonation)
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(71% confidence)

Category

news media journalism

(39%)

Domain Information

The domain 'internal-coffee-igoyycdead-0lsfyq4hvv.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'internal-coffee-igoyycdead-0lsfyq4hvv'. The second-level label 'edgeone' is 7 characters long holding four vowels versus 3 consonants. Splitting it apart reveals 2 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://internal-coffee-igoyycdead-0lsfyq4hvv.edgeone.app/

Page Load Overview

0.36s
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

T196810D05EFA7142C8567F86E0E5B660DF119C0233A06D94979CC8E406F858E5A6FEEE8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:EQfe4uBolBD/ERTHTMTMMbxKqiQR2VOQDWHt:EaenAhcTHTMTMMbxKqiQR2VOQDWHt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4019:oCgAAACAjAAQQBZYAgAFwQAZAGBsIAIAAGACIAEAAggSgkAAAGAggABAACIAAghBsgBECCAAAEhRQAAIAR0CAMAgsAQAGJCJ

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:#7253ac

Scan History

Scan history not available

Unable to load historical scan data