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Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 10, 2026, 6:24:05 PMCompleted: Apr 10, 2026, 6:25:22 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/abbyw-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

The page shows no malicious indicators, forms, or phishing elements; it is low risk.

Safety Factors
Hosted on reputable edgeone.app platform
No credential or payment collection elements
Low JavaScript obfuscation score (standard minification)
External resources are benign (fonts.googleapis.com, fonts.gstatic.com)
No brand impersonation or phishing tokens detected
Domain age information unavailable

Details

Page Title

Abby — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(48%)

Domain Information

You're looking at domain 'syschgapp-nyqu3irl1e.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'syschgapp-nyqu3irl1e'. The core label 'edgeone' covers 7 characters with 4 vowels and 3 consonants. Breaking it apart gives 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.64s
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:5,041 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service48% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
48%
documentation technical
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.110.94United States
AS15169Google LLC
3142.251.110.95United 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

T15922E777A3E5613694634062360833DDEA00C866958B4661F4DF8D5CD2D3ABB8B77F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6C/GvRNEc5MSKHMM/c/R/EGfSJ3PtX0ZLyB52dttH:wMc5QHMuvJ3PPL2dttH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10392:ACSSci46QKSAXQFogRHdXyVEECIYmOCBAAjjUQRBtkTOOmpATbVSgET5wHxKxUIGMNDIoCBxPEDIBCFMcAAYAboS0SAiuLOK

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:#1f9380

Other Hashes

Crop Resistant:b24e0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data