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Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 10, 2026, 5:34:34 AMCompleted: Apr 10, 2026, 5:35:52 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/agnesc-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: 80%

2
Risk Score

No malicious activity detected; the site appears benign.

Risk Factors
Subdomain on free hosting platform (edgeone.app) with unknown creation date
Safety Factors
No credential or payment fields present
No malicious Indicators of Compromise
Standard external resources only (fonts.googleapis.com, fonts.gstatic.com)
No cross‑origin credential exfiltration detected
Domain age information unavailable

Details

Page Title

Agnes — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(29%)

Domain Information

The domain 'syschgapp-nyqu3irl1e.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'syschgapp-nyqu3irl1e'. Count 7 characters in 'edgeone' split between four vowels and 3 consonants. Splitting it apart reveals 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/agnesc-land.html

Page Load Overview

0.68s
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:4,973 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service29% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
29%

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
3192.178.183.95United 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

T1D922E777A3A52236941344A2315833DDEA00C865A6874221F5EF9D5CD2D3ABBCB77F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:60/GvRNEc5MSKEtjMM/c/R/EGfApztPtX0fLyB52dttU:wMc5QgjMuB/PrL2dttU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10322:aW5hCIBEPgy0fJYqUUgI0wqQlAkFoLIhKTIE5YhAEgVwoJBRhSpAxEANCCIE0xhADiEAF4ApYdPcQhQAiXwQcPgcFQKQE6IU

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:#3ad22d

Other Hashes

Crop Resistant:b24e0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data