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Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 10, 2026, 6:47:40 AMCompleted: Apr 10, 2026, 6:48:57 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 11 HTTP transactions. The main domain is syschgapp-nyqu3irl1e.edgeone.app and was registered NaN years ago.

Submitted URL: https://syschgapp-nyqu3irl1e.edgeone.app/akinwumia-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: 92%

2
Risk Score

No malicious activity detected; site appears benign despite a new subdomain.

Risk Factors
Subdomain on edgeone.app with unknown creation date (potentially brand‑new)
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware patterns detected
No network IDS alerts
Uses only standard external resources (fonts.googleapis.com, fonts.gstatic.com)
Domain age information unavailable

Details

Page Title

Akinwumi — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(46%)

Domain Information

Domain 'syschgapp-nyqu3irl1e.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'syschgapp-nyqu3irl1e'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus three consonants. Segmentation suggests 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://syschgapp-nyqu3irl1e.edgeone.app/akinwumia-land.html

Page Load Overview

0.60s
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:5,132 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service46% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
46%
documentation technical
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.110.95United States
AS15169Google LLC
3192.178.183.94United States
AS15169Google LLC
343.152.26.58Singapore
AS139341ACE
113--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B322D877A3E56236945340A1321C33EDBA00C865A68A4221F4DF5D5CD2C7ABB9B77F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6p/GvRNEc5MSKweMM/c/R/EGfc7PtX0utRkLyB52dtta:vMc5QJMuZ7PpJL2dtta

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10481:sIJwgZA8BumDim6T1IBykBSCRYnj0CUgRl5KMCQgZRYBEqphRSExBCoaxmQBOAECihIUgRSEOSEHYwAheEXTAhXdJKAB4SAJ

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:1ee6e7c7c7c7e7c7
Perceptual Hash:b3dd9d1c19889c8d
Difference Hash:b24c0e0c0c0c0c0c
Wavelet Hash:0ee6c2c3c7c3c3c3
Color Hash:#a86ce0

Other Hashes

Crop Resistant:b24c0e0c0c0c0c0c

Scan History

Scan history not available

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