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Security Scan Report: internal-coffee-hjrso2k7ih-zu7eivny8m.edgeone.app

Submitted: Feb 14, 2026, 1:12:42 AMCompleted: Feb 14, 2026, 1:14:12 AMpubliccompleted
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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 internal-coffee-hjrso2k7ih-zu7eivny8m.edgeone.app and was registered NaN years ago.

Submitted URL: https://internal-coffee-hjrso2k7ih-zu7eivny8m.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
Established domain age (>365 days)
No login or payment forms
No external links or redirects
No malicious Indicators of Compromise
No brand impersonation
Domain age information unavailable

Details

Page Title

internal-coffee-hjrso2k7ih-zu7eivny8m.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(35%)

Domain Information

You're looking at domain 'internal-coffee-hjrso2k7ih-zu7eivny8m.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'internal-coffee-hjrso2k7ih-zu7eivny8m'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and three 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://internal-coffee-hjrso2k7ih-zu7eivny8m.edgeone.app/

Page Load Overview

3.14s
Total Load Time
4
HTTP Requests
2
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:202 chars
Detector Agreement:67%

Website Classification

Primary Category

healthcare medical35% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
AS139341ACE
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T170048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:CfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszk2bMy8OldA:5hoC9JSqzzbs6o3Sj3gcrsg2eA2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184636:QpqNGZgBKCIEoKANmFISlgNBQZYokGGBEQp4JwLAqNwS0QGOQVFAWEDEC7MACBKgFBQiAjiE9PIRizcmAtJAAEBBGzKkJCgH

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:3f1f03070f0f0f0f
Color Hash:#d22d82

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data