Security Scan Report: rear-coffee-vml9ihy2az-c34omprcvw.edgeone.app

Submitted: Mar 9, 2026, 12:47:44 AMCompleted: Mar 9, 2026, 12:49:21 AMpubliccompleted
Loading additional data...

Summary

This website contacted 6 IPs in 1 country across 6 domains to perform 66 HTTP transactions. The main domain is rear-coffee-vml9ihy2az-c34omprcvw.edgeone.app and was registered NaN years ago.

Submitted URL: https://rear-coffee-vml9ihy2az-c34omprcvw.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: 85%

1
Risk Score

No malicious activity detected; site appears benign.

Safety Factors
Hosted on reputable hosting platform (edgeone.app)
Absence of credential or payment collection forms
No cross‑origin credential exfiltration observed
No IDS alerts or YARA malware detections
Domain age information unavailable

Details

Page Title

삼우이머션 XR·AI 교육 솔루션 제안 (한국폴리텍대학 강릉캠퍼스 맞춤)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

Domain 'rear-coffee-vml9ihy2az-c34omprcvw.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'rear-coffee-vml9ihy2az-c34omprcvw'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 3 consonants. Word splitting yields two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rear-coffee-vml9ihy2az-c34omprcvw.edgeone.app/

Page Load Overview

8.17s
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:831 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
40%
adult content
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1104.26.2.143Singapore
0142.250.186.42Singapore
045.43.142.7Singapore
043.152.26.58Singapore
0142.251.208.163Singapore
0151.101.1.229Singapore
16--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F983B82422F2007F6C9381F5F690AF5EAA65A1C7DE1B82ADBA8D85105FC6DF34C87354

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:96YhKqZCafconzR6v8bdsuidStroF+iBk:nh5fcont6YSZ2ik

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:81337:ERYlQRShCQYkBBNAMEAXSwlCgiAlUMg6HhJAEKVAwRgUoAAtyCCDAwCQgjWuJStFPRCXRmKAgCIpSkJoygsMQAAkhCCA7gYS

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:ff0000000000ffff
Perceptual Hash:930aec699e9e4ae2
Difference Hash:3bdbd9c9d9d90c0e
Wavelet Hash:ff00000000ffffff
Color Hash:#79c5d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data