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Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 10, 2026, 11:12:41 PMCompleted: Apr 10, 2026, 11:14:00 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/andrewn-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: 80%

2
Risk Score

Low risk page; no malicious activity detected despite unknown subdomain age.

Risk Factors
Subdomain on hosting platform with unknown creation date
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware patterns
No network IDS alerts
Standard minified JavaScript (low obfuscation score)
Domain age information unavailable

Details

Page Title

Andrew — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(55%)

Domain Information

Within the application-focused generic top-level domain (.app), 'syschgapp-nyqu3irl1e.edgeone.app' is registered, featuring subdomain 'syschgapp-nyqu3irl1e'. The core label 'edgeone' covers 7 characters split between 4 vowels and 3 consonants. Tokenizing the label suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://syschgapp-nyqu3irl1e.edgeone.app/andrewn-land.html

Page Load Overview

0.59s
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:5,143 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical55% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
55%
government public service
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.110.95United States
AS15169Google LLC
3142.250.154.94United 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

T14722D777B3E52236945300A2315833EDEA00C826A6864661F4EF8D5CD2D79BB8777F88

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6R/GvRNEc5MSKjMM/c/R/EGfw0PtX0ZLyB52dtt9:TMc5QjMuv0PPL2dtt9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10492:pJMDY5JIYG4DCQYCOuXAGFIimAMQQlQEIBsQCyhJYIQHAlBbAgGZRAIeAEGrZoISjACeSnbwB0lWBMYEUcDNAhIMFHTCATUg

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:b3dd9d1c38989c8c
Difference Hash:b24e0e0c0c0c0c0c
Wavelet Hash:0ee6c6c3c7c3c3c2
Color Hash:#78423a

Other Hashes

Crop Resistant:b24e0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data