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Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 9, 2026, 8:23:08 AMCompleted: Apr 9, 2026, 8:24:26 AMpubliccompleted
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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/adenikeo-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 legitimate.

Safety Factors
Absence of credential or payment forms
Clean JavaScript with low obfuscation score
Only benign external resources (Google Fonts)
No redirects or cross‑origin credential exfiltration
Standard hosting platform subdomain without malicious indicators
Domain age information unavailable

Details

Page Title

Adenike — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(25%)

Domain Information

Within the application-focused generic top-level domain (.app), 'syschgapp-nyqu3irl1e.edgeone.app' is registered, featuring subdomain 'syschgapp-nyqu3irl1e'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside 3 consonants. Splitting it apart reveals two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.42s
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:5,024 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service25% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
AS139341ACE
3192.178.183.94United States
AS15169Google LLC
3142.251.37.10United 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

T16522D577B3A2223694134062354D73DDAA00C876968B4221B5EB9D5CD2D3ABB8777F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6WI/GvRNEc5MSK3tEMM/c/R/EGfek7E4BPtX0ZLyB52dttU:BRMc5Q9EMuvkw0PPL2dttU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10375:MVRCvkKAMkq/wNR6DQAIAhnIQYrAOAQIUKsggFUjEhRnSINeKQMBOHCS2wQ6PNBMAiJMoOGBREogkDyFAuSUapGZdTBBEEQ4

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:1ee6e7c7e7c7e7c7
Perceptual Hash:b3dd9d1d180c1d8d
Difference Hash:b24c0e0c0c0c0c0c
Wavelet Hash:0ee6c6c3c7c3c3c2
Color Hash:#6553ac

Other Hashes

Crop Resistant:b24c0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data