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Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 9, 2026, 12:08:19 PMCompleted: Apr 9, 2026, 12:09:41 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is syschgapp-nyqu3irl1e.edgeone.app and was registered NaN years ago.

Submitted URL: https://syschgapp-nyqu3irl1e.edgeone.app/aitch-land.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Low‑risk page with no malicious indicators; likely a legitimate personal/academic site.

Risk Factors
New subdomain on a free hosting platform (edgeone.app) with unknown creation date
Safety Factors
No credential or payment fields present
No malicious Indicators of Compromise
No JavaScript malware or suspicious network activity
Uses only standard external resources (Google Fonts)
Domain age information unavailable

Details

Page Title

Aitch — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'syschgapp-nyqu3irl1e.edgeone.app' is registered and includes subdomain 'syschgapp-nyqu3irl1e'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. It segments into 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://syschgapp-nyqu3irl1e.edgeone.app/aitch-land.html

Page Load Overview

1.17s
Total Load Time
11
HTTP Requests
3
Domains
265 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:5,040 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
543.152.26.58Singapore
AS139341ACE
374.125.29.95Singapore
AS139341
3192.178.183.94SingaporeUnknown
113--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10122E777B3A46236945340A2361833DDFA00C876558B4661F4DB4D5CE2C7ABB8B73F88

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6n/GvRNEc5MSK647MM/c/R/EGfzJNtSLyB52dtty:PMc5Q647MuAJ7L2dtty

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10387:aagJiIgEjCyk9LYhQQBOwwmw8ClVoGAjBSKE5YgCGgVY4JRExyLIJEIINIAEQBhAKBAIlaIpKdJQERAVKQhZUe54AYIQk4IT

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:1ee6e7c7e7c7e7c7
Perceptual Hash:b3dd9d18380c9c9d
Difference Hash:b24e0e0c0c0c0c0c
Wavelet Hash:0ee6c2c3c7c3c3c3
Color Hash:#782d86

Other Hashes

Crop Resistant:b24e0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data