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Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 9, 2026, 1:51:16 PMCompleted: Apr 9, 2026, 1:52:35 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is syschgapp-nyqu3irl1e.edgeone.app and was registered NaN years ago.

Submitted URL: https://syschgapp-nyqu3irl1e.edgeone.app/agnesb-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 security concerns detected; the page appears legitimate and safe.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Low JavaScript obfuscation, no malware signatures
Uses trusted external resources (fonts.googleapis.com, fonts.gstatic.com)
Page content appears to be informational/academic
Domain age information unavailable

Details

Page Title

Agnes — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(53%)

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 registrable portion 'edgeone' spans 7 characters split between four vowels and 3 consonants. It segments into 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/agnesb-land.html

Page Load Overview

1.00s
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:5,080 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical53% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
53%
government public service
39%
healthcare medical
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5192.178.183.94United States
AS15169Google LLC
3142.251.13.95United 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

T1D522E677A3A5623694134062311D33EDBA00C866964B0661F4DF4D5CE2C7ABB8B77F88

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:60/GvRNEc5MSKf81d6MM/c/R/EGf/xtJPtX0ZLyB52dttKvq:wMc5Qf81d6MuSRPPL2dttKvq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10427:aSBL6aKGHAnmdKZgYQBCw4uREA816MQhgaIU5YiCEoVCpBBEjTPIhEEMIEIMVBgAyJCQNhU5s9JAFBJFDSuS0PpQASIAA4MQ

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:b3dd9d1d380c1c8d
Difference Hash:b24e0e0c0c0c0c0c
Wavelet Hash:0ee6c6c3c7c3c3c2
Color Hash:#832d86

Other Hashes

Crop Resistant:b24e0e0c0c0c0c0c

Scan History

Scan history not available

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