Security Scan Report: flat-coffee-leiyfv8gej-r48qyeun9x.edgeone.app

Submitted: Mar 30, 2026, 5:27:52 AMCompleted: Mar 30, 2026, 5:29:00 AMpubliccompleted
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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 flat-coffee-leiyfv8gej-r48qyeun9x.edgeone.app and was registered NaN years ago.

Submitted URL: https://flat-coffee-leiyfv8gej-r48qyeun9x.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%

0
Risk Score

No malicious activity detected; the site appears benign.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
No network-level alerts
Standard hosting platform without suspicious activity
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

documentation technical

(29%)

Domain Information

You're looking at domain 'flat-coffee-leiyfv8gej-r48qyeun9x.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'flat-coffee-leiyfv8gej-r48qyeun9x'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. Tokenizing the label suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://flat-coffee-leiyfv8gej-r48qyeun9x.edgeone.app/

Page Load Overview

0.36s
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:94 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

documentation technical29% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
29%

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

T16D12C7C9EBE306C9A81BC0682FFF5725222DE053D449C95DB9AE0F648F4518875EB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB2ChrIh1RaXQl:KrzhNK/lMHmGgdkqUyd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9640:ITeK13BCBQOQNBUUKUWAxAAiKgSkjQQgc1AJkAECqDgQQIkMCMQ30wCQbYcCJMbA2TidVQAuaEh+FAtBOAoGCCsDOGaGAIER

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:dcfcfcf0e0e0c0c0
Perceptual Hash:da9a986c6c65c3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#8553ac

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data