Security Scan Report: very-coffee-sq9gmkdl29-dj3wmse4vq.edgeone.app

Submitted: Feb 14, 2026, 9:27:03 AMCompleted: Feb 14, 2026, 9:28:14 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is very-coffee-sq9gmkdl29-dj3wmse4vq.edgeone.app and was registered NaN years ago.

Submitted URL: https://very-coffee-sq9gmkdl29-dj3wmse4vq.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well-established domain reduces risk
Absence of malicious Indicators of Compromise
No credential or payment forms present
Low ranking mitigated by domain age
Domain age information unavailable

Details

Page Title

very-coffee-sq9gmkdl29-dj3wmse4vq.edgeone.app

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

news media journalism

(39%)

Domain Information

Domain 'very-coffee-sq9gmkdl29-dj3wmse4vq.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'very-coffee-sq9gmkdl29-dj3wmse4vq'. The core label 'edgeone' covers 7 characters split between 4 vowels and three 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://very-coffee-sq9gmkdl29-dj3wmse4vq.edgeone.app/

Page Load Overview

2.47s
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:84 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

news media journalism39% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
39%
healthcare medical
30%
real estate property
27%
government public service
25%

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

T14C048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszk2bMy8Old6:qhoC9JSqzzbs6o3Sj3gcrsA2eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184616:AwCoIhOonmBuoBhJqsDBR0GAAgAgRIAUAAVlugCFTCKMCgqaGBzuqXjIBEDFQjAwYq9gCmhDnFUCUEQsEXFB3UAhAlQBAYeC

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:ffdfc3c700000000
Color Hash:#5c783a

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data