Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 9, 2026, 5:52:24 AMCompleted: Apr 9, 2026, 5:53:46 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/ajayb-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: 78%

2
Risk Score

Site shows no malicious activity; only minor suspicion due to new subdomain on a free hosting platform.

Risk Factors
Subdomain on hosting platform with unknown creation date (potentially new)
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Standard external resources only (Google Fonts)
Low JavaScript obfuscation score
Domain age information unavailable

Details

Page Title

Ajay — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(38%)

Domain Information

You're looking at domain 'syschgapp-nyqu3irl1e.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'syschgapp-nyqu3irl1e'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and 3 consonants. Segmentation suggests two 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/ajayb-land.html

Page Load Overview

0.91s
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:5,140 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service38% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
3142.250.154.94United States
AS15169Google LLC
3142.251.20.95United 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

T19722D877A3E56236945340A1321C33EDBA00C865A68A4221F4DF5D5CD2C7ABB9B77F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6V/GvRNEc5MSKshMM/c/R/EGfc7PtX0utRkLyB52dtta:3Mc5QCMuZ7PpJL2dtta

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10489:CGwQbAMoAIKAUQENAVPGDAUAECqY/OqhAACmUAQAEMeWOu5CyxCSgAQ1QPhCQxACMdgccaAlMBCYAgBGcgAUCKYSGRKGnBGI

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:b3dd9d1c39181c8d
Difference Hash:b24e0e0c0c0c0c0c
Wavelet Hash:0ee6c2c3c7c3c3c3
Color Hash:#e0ac6c

Other Hashes

Crop Resistant:b24e0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data