Security Scan Report: neat-coffee-56cb5xaxkt-he3t5cxjg8.edgeone.app

Submitted: Mar 15, 2026, 7:12:19 PMCompleted: Mar 15, 2026, 7:13:43 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 neat-coffee-56cb5xaxkt-he3t5cxjg8.edgeone.app and was registered NaN years ago.

Submitted URL: https://neat-coffee-56cb5xaxkt-he3t5cxjg8.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 benign.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Standard hosting platform with no suspicious scripts
Low JavaScript obfuscation, indicating normal minified code
Educational page title suggests benign intent
Domain age information unavailable

Details

Page Title

عارضة تفاعلية: تقاطع الدوال - المعلمة آية خلف

Scan Type

public

Language

🇸🇦

Arabic

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'neat-coffee-56cb5xaxkt-he3t5cxjg8.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'neat-coffee-56cb5xaxkt-he3t5cxjg8'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and 3 consonants. Tokenizing the label suggests two 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://neat-coffee-56cb5xaxkt-he3t5cxjg8.edgeone.app/

Page Load Overview

0.49s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:80%
Script:Arabic
Direction:rtl

Detection Details

Language Code:ar
Detection Confidence:80%
Script Type:Arabic
HTML Lang Attribute:ar
Text Length:1,071 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T1E602449712F3003154879D19E7E2B749F9319903AA07EE213A8E2690CFC7D91C5DB7B9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:k8nn3owrGRT0FF4N//fDUNrJc9ml6oMtKtFjvu/h4PyRIMwgv1Ch:rFm1HDEl9u/h4Pobwgv0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8992:EFBMm4qBsQQiKMCErIqQgbAChcEYAkKA4DKHjEiWigIJwEERAQQAdEsCFROqVwE5QgK1rYSUAnD0CHYVgyIZ5tCACQkVkRJD

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:003c3c243c3c2400
Perceptual Hash:93cc61dc3473cc33
Difference Hash:0460694971614808
Wavelet Hash:303c3c3c3c3c2400
Color Hash:#3a7856

Other Hashes

Crop Resistant:0460694971614808

Scan History

Scan history not available

Unable to load historical scan data