Security Scan Report: atomic-chocolate-dmx2nuhdxu-9jjsv9vlxm.edgeone.app

Submitted: Mar 18, 2026, 2:37:13 PMCompleted: Mar 18, 2026, 2:38:38 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is atomic-chocolate-dmx2nuhdxu-9jjsv9vlxm.edgeone.app and was registered NaN years ago.

Submitted URL: https://atomic-chocolate-dmx2nuhdxu-9jjsv9vlxm.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 suspicious activity detected; site appears legitimate.

Safety Factors
Hosted on a standard subdomain of edgeone.app
No redirects or cross‑origin credential exfiltration observed
Page title is non‑branding Arabic content
No network IDS alerts triggered
Domain age unknown but no suspicious activity present
Domain age information unavailable

Details

Page Title

خريطة تقاطع الدوال - المعلمة آية خلف

Scan Type

public

Language

🇸🇦

Arabic

(80% confidence)

Category

education learning

(43%)

Domain Information

The domain name 'atomic-chocolate-dmx2nuhdxu-9jjsv9vlxm.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'atomic-chocolate-dmx2nuhdxu-9jjsv9vlxm'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside 3 consonants. Tokenizing the label suggests 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://atomic-chocolate-dmx2nuhdxu-9jjsv9vlxm.edgeone.app/

Page Load Overview

5.43s
Total Load Time
2
HTTP Requests
1
Domains
6 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:936 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning43% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
43%

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

T11FF1126716B344711857EC19E7F6A349FA70ED03890BEE203ADD22508FC3A56C59A3BD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:jMQAZT1mPToJ4XJ0FYgDlrDuReEzHMm3/y6OOCn:jQZpmPTo8J0FYgDlrDuRdHMm3/ytOCn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7951:RUCAmiwdFAIohDYBgD4QAiQuA9ADB3DBKIQ3gwBMOAABQxpCOGNEgNIDOPg5IQGxIESBaEBYWAoDICF5OqAF0GgtAgAZAAZI

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:0000e3c3ffffffff
Perceptual Hash:ad380b1a0f3875cf
Difference Hash:f7f11696428a6362
Wavelet Hash:0000c1c3f3c3fffb
Color Hash:#93651f

Scan History

Scan history not available

Unable to load historical scan data