Security Scan Report: reviewmathday-fqxqdx2kds.edgeone.app

Submitted: Jan 8, 2026, 3:59:10 AMCompleted: Jan 8, 2026, 4:01:05 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is reviewmathday-fqxqdx2kds.edgeone.app and was registered NaN years ago.

Submitted URL: https://reviewmathday-fqxqdx2kds.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 identified; the site appears legitimate.

Safety Factors
Well‑established domain age
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Math Day Presentation Review

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(89%)

Domain Information

Within the application-focused generic top-level domain (.app), 'reviewmathday-fqxqdx2kds.edgeone.app' is registered and includes subdomain 'reviewmathday-fqxqdx2kds'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and 3 consonants. Word splitting yields 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://reviewmathday-fqxqdx2kds.edgeone.app/

Page Load Overview

28.57s
Total Load Time
4
HTTP Requests
2
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,025 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software89% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
89%
education learning
89%
documentation technical
52%
government public service
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.26.2.143Singapore
243.152.26.58Singapore
42--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13842A712E2A05405BFB6C4C6EAD0A9457A0091D3D71EDEE5F78CA424FFCB4A286F670D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:VrthQc3K7JXeS7JXex/27xQnXiCOMSK2yE8lbkdQL:VrtQhL72XiC/ZBbke

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12889:ASDLroA4ACgQACRQEikDACA6QgJ4XlAfAKCQCECNyAuMZEbMREbGLBwIgSAQxIEDaUCJYAiUJhJAkx1AU0BRaCAYoT5TL4pA

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:e7e7ffffffc3c3ff
Perceptual Hash:b5db2364cb309a9a
Difference Hash:0e0e101836969661
Wavelet Hash:00001e0ec2c2c2ff
Color Hash:#5cac53

Scan History

Scan history not available

Unable to load historical scan data