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Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 10, 2026, 2:21:17 PMCompleted: Apr 10, 2026, 2:22:35 PMpubliccompleted
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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/anthonyd-land.html

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

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

No malicious activity detected; site appears benign.

Safety Factors
Page served over HTTPS (secure connection)
Only external resources are Google Fonts (fonts.googleapis.com, fonts.gstatic.com)
Hosted on edgeone.app, a known hosting platform without known abuse for this subdomain
Low Cisco Umbrella ranking but no malicious signals associated
No credential or payment collection mechanisms present
Domain age information unavailable

Details

Page Title

Anthony — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(52%)

Domain Information

Domain 'syschgapp-nyqu3irl1e.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'syschgapp-nyqu3irl1e'. Count 7 characters in 'edgeone' holding four vowels versus 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/anthonyd-land.html

Page Load Overview

1.40s
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:4,990 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service52% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
52%
documentation technical
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.14.95United 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

T18B22F8B7B3B5623694634062365833DDBA00C866558B0661F4DB8D5CD2C7ABB8B37F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6z/GvRNEc5MSKpMM/c/R/EGfOnrtSLyB52dttH:3Mc5QpMuTn1L2dttH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10337:A9ziukKAAEYckJaSiQSEkBnoykcBFuQIPCQggFqCQjQEWItVGioBaMOSUQDyINAEAiFQpCCACE+4xDSFAoWMaDCMJREoCK05

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:b3dd9d1d180c1d8d
Difference Hash:b24e0e0c0c0c0c0c
Wavelet Hash:0ee6c2c3c7c3c3c3
Color Hash:#3ad22d

Other Hashes

Crop Resistant:b24e0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data