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Security Scan Report: encouraging-coffee-j1rjwdhv3g-kmviuxc9d9.edgeone.app

Submitted: Mar 27, 2026, 1:29:39 AMCompleted: Mar 27, 2026, 1:30:59 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 15 HTTP transactions. The main domain is encouraging-coffee-j1rjwdhv3g-kmviuxc9d9.edgeone.app and was registered NaN years ago.

Submitted URL: https://encouraging-coffee-j1rjwdhv3g-kmviuxc9d9.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 suspicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Standard third‑party CDN usage only
No cross‑origin credential exfiltration observed
No network IDS alerts
Domain age information unavailable

Details

Page Title

הקואורדינטות של הלמידה מרחוק

Scan Type

public

Language

🇮🇱

HE

(80% confidence)

Category

education learning

(98%)

Domain Information

The domain name 'encouraging-coffee-j1rjwdhv3g-kmviuxc9d9.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'encouraging-coffee-j1rjwdhv3g-kmviuxc9d9'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and three consonants. It segments into 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://encouraging-coffee-j1rjwdhv3g-kmviuxc9d9.edgeone.app/

Page Load Overview

0.81s
Total Load Time
14
HTTP Requests
5
Domains
326 KB
Total Size

Language Analysis

Primary Language

🇮🇱Hebrew
Code: he
Confidence:80%
Script:Hebrew
Direction:rtl

Detection Details

Language Code:he
Detection Confidence:80%
Script Type:Hebrew
HTML Lang Attribute:he
Text Length:2,178 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning98% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
98%
government public service
47%
adult content
46%
documentation technical
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.251.141.99United States
AS15169Google LLC
243.152.26.58Singapore
AS139341ACE
2104.17.24.14United States
AS13335Cloudflare, Inc.
2142.250.201.170United States
AS15169Google LLC
2104.26.3.143United States
AS13335Cloudflare, Inc.
145--

Detected Technologies1

Tailwind CSS
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154E2556862E000376C63D1F6FE54EA59BF61A2D3DD2B9199B78D4244AFD3DF29C83204

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:+N91hL7lwmoD/AzR9mzpZbIYWeamxtfFzuDK14:+N91hnu1IR9afIYWe9xFsDKK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31991:gAFFCxETKiAAaDwQmogRQAKRRZHSFjIOB0egqwywYq6oIjGOgFjFKw4DQAEeQFBWQBQhiI5EiAACiJYqNjQAAoh4ADAAAYgc

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:c1ffe7fffbff83c3
Perceptual Hash:ec63384d693cc734
Difference Hash:07494d4b43452b26
Wavelet Hash:81ffa5a1f9b98181
Color Hash:#ac53ac

Other Hashes

Crop Resistant:07494d4b43452b26

Scan History

Scan history not available

Unable to load historical scan data