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Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 10, 2026, 2:40:29 PMCompleted: Apr 10, 2026, 2:41:46 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/amandag-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%

0
Risk Score

No malicious activity detected; the site appears benign.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise
Hosted on a known platform (edgeone.app) without suspicious behavior
No external malicious domains referenced
Page title and content suggest a personal or academic page
Domain age information unavailable

Details

Page Title

Amanda — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(64%)

Domain Information

Within the application-focused generic top-level domain (.app), 'syschgapp-nyqu3irl1e.edgeone.app' is registered and includes subdomain 'syschgapp-nyqu3irl1e'. Count 7 characters in 'edgeone' holding 4 vowels versus three consonants. Breaking it apart gives 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/amandag-land.html

Page Load Overview

0.62s
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:5,078 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical64% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
64%
government public service
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
AS139341ACE
3142.251.20.94United States
AS15169Google LLC
3142.251.14.95United 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

T11122D677B3E56236941340A2321833DDFA00C865A68B4621F49F9D5CD2C79B78B77F88

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6S/GvRNEc5MSKNWWMM/c/R/EGf+n9PtX0ZLyB52dttP:QMc5QNWWMudn9PPL2dttP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10429:hSIRwRBCZC6LeAICGvjsMEAgmglAWjYkoBMCAxhNYIQmEmFFehSYxAAUAYGJxoBQiEIOQmbELwpFIoKhhMjdEuBEBDTxWVUA

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:b3dd9d19180c9c9d
Difference Hash:b24c0e0c0c0c0c0c
Wavelet Hash:0ee6c2c3c7c3c3c3
Color Hash:#59862d

Other Hashes

Crop Resistant:b24c0e0c0c0c0c0c

Scan History

Scan history not available

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