Security Scan Report: keen-coffee-vxilcjwtsv-5w9jqn6h3c.edgeone.app

Submitted: Mar 7, 2026, 5:16:06 AMCompleted: Mar 7, 2026, 5:17:38 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is keen-coffee-vxilcjwtsv-5w9jqn6h3c.edgeone.app and was registered NaN years ago.

Submitted URL: https://keen-coffee-vxilcjwtsv-5w9jqn6h3c.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: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

NUJIB-EDUFY

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

education learning

(27%)

Domain Information

Within the application-focused generic top-level domain (.app), 'keen-coffee-vxilcjwtsv-5w9jqn6h3c.edgeone.app' is registered with subdomain 'keen-coffee-vxilcjwtsv-5w9jqn6h3c'. The core label 'edgeone' covers 7 characters holding four vowels versus 3 consonants. Splitting it apart reveals 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://keen-coffee-vxilcjwtsv-5w9jqn6h3c.edgeone.app/

Page Load Overview

0.59s
Total Load Time
3
HTTP Requests
1
Domains
8 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:315 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning27% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
27%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1482199B3C3E0B69A2240197E320237449F42604762A85E10B8AE03D00F85B5C6D17343

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kY8oCm85Cjwci85uzcSgD2rAQEi92J77/2rOQKk5R:GHIjnDvSE3QEi9W77/mO5kv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1140:AAEBAAAAAAIAAAABADCAAAAIAAAAAAAgAAAAwAACAgAAAAABAAEBABAAAAIAAAAEAIAABAQACAACAgAgAAAEIAAAAgBgAAEA

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:81ffffffffffffff
Perceptual Hash:b53535343c3c3c3c
Difference Hash:0f48000000000000
Wavelet Hash:81c7c3c300000000
Color Hash:#79d28f

Other Hashes

Crop Resistant:0f48000000000000

Scan History

Scan history not available

Unable to load historical scan data