Security Scan Report: official-coffee-sducl6vwyp-j9pbmmh8i1.edgeone.app

Submitted: Feb 7, 2026, 6:22:43 PMCompleted: Feb 7, 2026, 6:25:20 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is official-coffee-sducl6vwyp-j9pbmmh8i1.edgeone.app and was registered NaN years ago.

Submitted URL: https://official-coffee-sducl6vwyp-j9pbmmh8i1.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: 92%

1
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (> 365 days)
No credential or payment collection forms
No external links or redirects
No malicious Indicators of Compromise
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

official-coffee-sducl6vwyp-j9pbmmh8i1.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(31%)

Domain Information

The domain name 'official-coffee-sducl6vwyp-j9pbmmh8i1.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'official-coffee-sducl6vwyp-j9pbmmh8i1'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and 3 consonants. Tokenizing the label suggests 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://official-coffee-sducl6vwyp-j9pbmmh8i1.edgeone.app/

Page Load Overview

30.12s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:582 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content31% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T107048E77329A063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:/fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszk2bMy8Old6:AhoC9JSqzzbs6o3Sj3gcrsQ2eAw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184636:EQRhHaUJQAC8AGSpBKAWIQBNI04BQOoIGxcWEYLooEbFCggC0AANABARHNABBYEAGhCA0EMAKDKBQpZKUhABYALIBllALVJA

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:fcdcc0c40f0f0f0f
Color Hash:#b879d2

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data