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Security Scan Report: rear-coffee-oyarc9rrfi-yy8x3z330b.edgeone.app

Submitted: Apr 23, 2026, 12:20:54 AMCompleted: Apr 23, 2026, 12:22:13 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 rear-coffee-oyarc9rrfi-yy8x3z330b.edgeone.app and was registered NaN years ago.

Submitted URL: https://rear-coffee-oyarc9rrfi-yy8x3z330b.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site shows no malicious activity, lacks forms, and has only weak risk signals, resulting in a low‑risk classification.

Risk Factors
Unknown subdomain age (potentially brand‑new)
Low Cisco Umbrella ranking
Safety Factors
No forms or payment fields
No malicious IoC or YARA matches
No network IDS alerts
JavaScript obfuscation score low
Domain age information unavailable

Details

Page Title

VELOCITY

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

entertainment media

(53%)

Domain Information

You're looking at domain 'rear-coffee-oyarc9rrfi-yy8x3z330b.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'rear-coffee-oyarc9rrfi-yy8x3z330b'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Splitting it apart reveals two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rear-coffee-oyarc9rrfi-yy8x3z330b.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
48 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:614 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media53% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
53%
gambling betting
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A3833A27B2F90D37949748F7282ED3DE3161E002BB47CC48EDAE51906F529CB43B665A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:YvytCF0gKHoohb/CIanK0KzPejheutHArN4DDHuM1aZ9gMjuVezBGyaApCvajy1D:zMFW7b/WqCVeEAr+ORznRymoZt7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:82214:fPsUMEAqUoMGEtKAEgQiRCoAAMLABQCCRHSAu5pkAoqlMYmnB3uMJgCoSAgERKmFShlAEhoiTvhWC0AIVAQODUXEACeITIBw

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:0010181800000000
Perceptual Hash:cccc33333999cc66
Difference Hash:0820301014140000
Wavelet Hash:3f131b1b0303033f
Color Hash:#5396ac

Other Hashes

Crop Resistant:0820301014140000

Scan History

Scan history not available

Unable to load historical scan data