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Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 11, 2026, 1:47:28 AMCompleted: Apr 11, 2026, 1:48:45 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/aaronl-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

Low risk site with no malicious indicators; safe to browse.

Risk Factors
Subdomain on hosting platform with unknown creation date (moderate suspicion)
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Low JavaScript obfuscation score (standard minification)
External resources are benign (fonts.googleapis.com, fonts.gstatic.com)
No network IDS alerts or suspicious cross‑origin activity
Domain age information unavailable

Details

Page Title

Aaron — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(44%)

Domain Information

Domain 'syschgapp-nyqu3irl1e.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'syschgapp-nyqu3irl1e'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. It segments into 2 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/aaronl-land.html

Page Load Overview

0.58s
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:5,135 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service44% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
44%
documentation technical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
AS139341ACE
3142.251.14.95United States
AS15169Google LLC
3142.251.13.94United 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

T10C22E777B3A5623694534462320833DDBA00C82696874661F8EF8D5CD2D79BB87B3F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6v/GvRNEc5MSKHguMM/c/R/EGfWyPtX03LyB52dtt9T:nMc5QHdMuRyPlL2dtt9T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10484:e2AiSIwOTAixdIYyRUKAwynQHEkNtlxBI7oE4/iAMhVGYBBAlWpEZEYIKIQEQFpDCAAQFSQpZfpERJAYDZgQcugQeQLAg4tQ

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:#40bf82

Other Hashes

Crop Resistant:b24e0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data