Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 10, 2026, 4:14:39 AMCompleted: Apr 10, 2026, 4:15:57 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries 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/alg-land.html

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

AI Security Verdict

Moderate Risk

Confidence: 72%

4
Risk Score

No malicious activity observed, but the site is a newly created subdomain on a hosting platform with low ranking; treat cautiously.

Risk Factors
Subdomain on a free hosting platform with unknown creation date (potentially new)
Low domain ranking (outside top 100 K) increases suspicion
Safety Factors
No credential or payment collection forms
No JavaScript malware patterns detected
No network IDS alerts
HTTPS connection (secure transport)
No suspicious external links
Domain age information unavailable

Details

Page Title

Al — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(42%)

Domain Information

Within the application-focused generic top-level domain (.app), 'syschgapp-nyqu3irl1e.edgeone.app' is registered; it also runs on subdomain 'syschgapp-nyqu3irl1e'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three 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://syschgapp-nyqu3irl1e.edgeone.app/alg-land.html

Page Load Overview

0.75s
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:4,966 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service42% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
42%
documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.110.95United States
AS15169Google LLC
343.152.26.58Singapore
3142.251.110.94United States
AS15169Google LLC
113--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11D22E777A3E16236945340A2311D33DEAA00C865A68B4261F4EF5D5CD2C7ABB8777F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6h/GvRNEc5MSKc1MM/c/R/EGfukOPtX0ZLyB52dtta:PMc5Q4MuVkOPPL2dtta

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10317:IyQoW3gJFyBnUBgwIBQIALRIxAQB8AyAlTmoEkyCBRwiUJFiRACFMwGEG+AuFAxCgiCPE4IDwEwIUKewUi4YrqAROIAgEBAg

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:b3dd9d1c39281c8d
Difference Hash:b24a0e0c0c0c0c0c
Wavelet Hash:0ee6c2c3c7c3c3c3
Color Hash:#931f2b

Other Hashes

Crop Resistant:b24a0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data