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Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 10, 2026, 1:38:02 PMCompleted: Apr 10, 2026, 1:39:20 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/ariannah-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: 92%

1
Risk Score

No malicious activity detected; the site appears benign.

Safety Factors
Absence of credential or payment collection forms
Clean JavaScript (low obfuscation, no malware signatures)
No cross‑origin credential exfiltration observed
No known malicious Indicators of Compromise
Standard hosting platform subdomain without deceptive branding
Domain age information unavailable

Details

Page Title

Arianna — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(51%)

Domain Information

Within the application-focused generic top-level domain (.app), 'syschgapp-nyqu3irl1e.edgeone.app' is registered and includes subdomain 'syschgapp-nyqu3irl1e'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside 3 consonants. Segmentation suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.58s
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:5,070 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service51% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
51%
documentation technical
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.14.95United States
AS15169Google LLC
3142.251.13.94United 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

T18922E877A3B57236941340A1325933EDBA00C866668B4521B4EF4D5CE2C7ABB8777F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6+/GvRNEc5MSKz7tpMM/c/R/EGfcxtyJRCLfLyB52dttJ:GMc5QzRpMu5KJYLuL2dttJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10417:CH1CvkeMAEIc5MSQCzAAQjvKSkIAAKQIUOImyFECAiYMKAtUiCJhqFGTcgI6ONhEwzFE4WDSVFr4gDyPCoCE+tiJIVUAAKR8

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:b3dd9d1d180c9c8d
Difference Hash:b24e0e0c0c0c0c0c
Wavelet Hash:0ee6c6c3c7c3c3c2
Color Hash:#79d295

Other Hashes

Crop Resistant:b24e0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data