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Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 10, 2026, 8:58:57 AMCompleted: Apr 10, 2026, 9:00:17 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/alexo-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: 78%

2
Risk Score

Site shows no malicious activity but is a newly created subdomain on a free hosting platform; treat as low risk.

Risk Factors
New/unknown subdomain on a free hosting platform
Low domain ranking in Cisco Umbrella
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns detected
No network IDS alerts
Uses only standard external resources (Google Fonts)
Domain age information unavailable

Details

Page Title

Alex — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(47%)

Domain Information

The domain name 'syschgapp-nyqu3irl1e.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'syschgapp-nyqu3irl1e'. The core label 'edgeone' covers 7 characters with 4 vowels and 3 consonants. Splitting it apart reveals two 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://syschgapp-nyqu3irl1e.edgeone.app/alexo-land.html

Page Load Overview

0.80s
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:4,988 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service47% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
47%
documentation technical
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5192.178.183.95United States
AS15169
3192.178.183.94United States
AS139341
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

T1A522F8B7B3B5623654634062361833DDBA00C865558B4561F4DB8D5CD2C7ABB8B37F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6Y/GvRNEc5MSKlMM/c/R/EGfOnrtSLyB52dttH:aMc5QlMuTn1L2dttH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10335:hBSW4BKogJGkWgHYQDnEDgVgFGIYmODBAgjjUSBAMETOOupQSRBSgEz4wHxKQQAkMPBKMiFhOEDJrEFlUAEzWLQSsQFSgDGK

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:b3dd9d1c382c1c9c
Difference Hash:b24a0e0c0c0c0c0c
Wavelet Hash:0ee6c2c3c7c3c3c3
Color Hash:#c59787

Other Hashes

Crop Resistant:b24a0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data