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Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 10, 2026, 4:06:42 PMCompleted: Apr 10, 2026, 4:08:03 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/adamr-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 page with unknown subdomain age but no malicious activity detected.

Risk Factors
Subdomain creation date unknown, leading to moderate suspicion
Safety Factors
Hosted on reputable edgeone.app platform
No credential or payment collection forms
No malicious Indicators of Compromise matches
No JavaScript malware or suspicious behavior
No network-level IDS alerts
Domain age information unavailable

Details

Page Title

Adam — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(53%)

Domain Information

You're looking at domain 'syschgapp-nyqu3irl1e.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'syschgapp-nyqu3irl1e'. The second-level label 'edgeone' is 7 characters long with 4 vowels and three consonants. It segments into 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/adamr-land.html

Page Load Overview

1.56s
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:4,988 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service53% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
53%
documentation technical
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.13.95United States
AS15169Google LLC
343.152.26.58Singapore
AS139341ACE
3142.251.14.94United 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

T17F22E7B7B3B5623654634062364833DDBA00C866958B4661F4DB4D5CE2C7ABB8B37F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6f/GvRNEc5MSKBMM/c/R/EGfsJNtSLyB52dttH:VMc5QBMuhJ7L2dttH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10335:hBSW4BIoAMGmXgHaATHETgVgVWMYmOCBAgjjUSBAOEbOOupUSzBSgED5wnxaQwGkOPBKMiBhOEDJjAFlUACSTLwStQNCgLGK

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:b3dd9d1c180c1d9d
Difference Hash:b24e0e0c0c0c0c0c
Wavelet Hash:0ee6c2c3c7c3c3c3
Color Hash:#1f932b

Other Hashes

Crop Resistant:b24e0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data