Security Scan Report: shy-coffee-ryb9gpkftl-hy87l4w2rx.edgeone.app

Submitted: Apr 18, 2026, 2:27:01 PMCompleted: Apr 18, 2026, 2:28:09 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 shy-coffee-ryb9gpkftl-hy87l4w2rx.edgeone.app and was registered NaN years ago.

Submitted URL: https://shy-coffee-ryb9gpkftl-hy87l4w2rx.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: 78%

2
Risk Score

Low risk site; no malicious activity detected and no credential collection.

Risk Factors
Subdomain creation date unknown (could be brand‑new)
Low domain ranking in Cisco Umbrella
Safety Factors
No forms, payment or login fields present
No credential exfiltration or suspicious network activity
No JavaScript obfuscation or malware signatures
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

documentation technical

(73%)

Domain Information

The domain 'shy-coffee-ryb9gpkftl-hy87l4w2rx.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'shy-coffee-ryb9gpkftl-hy87l4w2rx'. The core label 'edgeone' covers 7 characters holding four vowels versus 3 consonants. Word splitting yields 2 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://shy-coffee-ryb9gpkftl-hy87l4w2rx.edgeone.app/

Page Load Overview

0.73s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:149 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

documentation technical73% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
73%
healthcare medical
50%

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

T11F62B5C4EFF51FDCA41BC4185FBE6B2A2629A003D44D865CB5AE0EB09F44485B4BB1B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBXXh0Nh0Ph0Xh0oh0Xh0agdh0eh0OXd:KrzhNK/lMHmGgdkqWMeO5yBgdbVd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15778:cBViEHFGLZNQMwSHTQWKgAECCwAUD9xBFIANQAAriCwVApG8QqR0gyAASQ0AAoaEQQyVwwEgQOF6RAxQKEImoSYAOrcCFEkD

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:9cbc3c3c3c3c3c00
Perceptual Hash:da98619a68c3c767
Difference Hash:3030707070706000
Wavelet Hash:dcfcbc3c3c3c3c00
Color Hash:#d22dd0

Other Hashes

Crop Resistant:3030707070706000

Scan History

Scan history not available

Unable to load historical scan data