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Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 9, 2026, 6:24:25 AMCompleted: Apr 9, 2026, 6:25:42 AMpubliccompleted
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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/aliciag-land.html

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

AI Security Verdict

Moderate Risk

Confidence: 82%

4
Risk Score

No malicious activity observed, but the newly created subdomain on a hosting platform warrants caution.

Risk Factors
New/unknown subdomain on a free hosting platform
Low domain ranking (455,732) indicating limited reputation
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
Only standard external resources (Google Fonts) loaded
Domain age information unavailable

Details

Page Title

Alicia — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(47%)

Domain Information

The domain 'syschgapp-nyqu3irl1e.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'syschgapp-nyqu3irl1e'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Segmentation suggests two 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/aliciag-land.html

Page Load Overview

0.34s
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:5,020 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical47% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
47%
government public service
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.14.94United States
AS15169Google LLC
343.152.26.58Singapore
AS139341ACE
3172.217.16.170SingaporeUnknown
113--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17D22D777B3A5623694234062311833DDEA00C8B1968B4621B5DF9D5CD2D3ABB8B77F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6f/GvRNEc5MSKntGMM/c/R/EGfLpztPtX0AkLyB52dttU:pMc5QtGMuy/PpJL2dttU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10369:QCqCZRAAcC4JSAYaGeDAUkBsnQEAQnQ4IBvVQ1hJYARfAsBxAgjgxVDdxAWNogBQiggMQHZIL0BUBMsAAsRNApAsJDbBgbUA

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:b3dd9d1c380c1c9d
Difference Hash:b24e0e0c0c0c0c0c
Wavelet Hash:0ee6c6c3c7c3c3c2
Color Hash:#ae2dd2

Other Hashes

Crop Resistant:b24e0e0c0c0c0c0c

Scan History

Scan history not available

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