Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 9, 2026, 11:20:11 PMCompleted: Apr 9, 2026, 11:21:31 PMpubliccompleted
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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/andrewy-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; the site appears benign.

Risk Factors
New subdomain on a free hosting platform (edgeone.app) with unknown creation date
Low Cisco Umbrella ranking (455,732) for the subdomain
Safety Factors
Absence of login, payment, or sensitive data collection forms
No JavaScript malware or suspicious behavior detected
No network IDS alerts or YARA malware matches
Standard external resources only (Google Fonts)
Domain age information unavailable

Details

Page Title

Andrew — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(35%)

Domain Information

Domain 'syschgapp-nyqu3irl1e.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'syschgapp-nyqu3irl1e'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 3 consonants. Tokenizing the label suggests 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/andrewy-land.html

Page Load Overview

0.58s
Total Load Time
11
HTTP Requests
3
Domains
261 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:5,059 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service35% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.110.94United States
AS15169Google LLC
343.152.26.58Singapore
3142.251.110.95United 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

T18C22C777A3E56236942340A1321833DDEA00C8A5A68A4221F4EF5D5CD2D7AB79777F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6R/GvRNEc5MSKgYdMM/c/R/EGft7PtX0QzzkLyB52dtta:TMc5Q3dMu67PdJL2dtta

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10410:BE+gYxAA8H4VUBIiHOCAMES4nAUAYvSBIBOABwhLYBQGIpBREiGAREkWRCGJEgTYiKFMQO5AJ8OeQMcACMTtKiAExjzAAXUY

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:b3dd9d1c390c9c8c
Difference Hash:b24e0e0c0c0c0c0c
Wavelet Hash:0ee6c2c3c7c3c3c3
Color Hash:#4d3a78

Other Hashes

Crop Resistant:b24e0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data