Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 11, 2026, 3:34:31 AMCompleted: Apr 11, 2026, 3:35:54 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/aliv-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

No malicious activity detected; the page appears to be a benign documentation page.

Risk Factors
Subdomain creation date unknown (could be brand‑new)
Safety Factors
No credential or payment collection forms
No external malicious links
Low JavaScript obfuscation score
Content classified as technical documentation
Domain age information unavailable

Details

Page Title

Ali — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(55%)

Domain Information

Within the application-focused generic top-level domain (.app), 'syschgapp-nyqu3irl1e.edgeone.app' is registered; it also runs on subdomain 'syschgapp-nyqu3irl1e'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside 3 consonants. Word splitting yields 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/aliv-land.html

Page Load Overview

5.71s
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:5,078 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical55% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
55%
government public service
40%
education learning
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
3142.250.154.94United 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

T12E22E877B3A56236941340A1321873EDBA00C872968B4621B4DF5D5CD6D3ABB8777F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6W/GvRNEc5MSKHmMM/c/R/EGfrhVPtX0AkLyB52dttff:WMc5QGMuAhVPpJL2dttff

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10427:YjCogTBxFkaEuWW66UKgxYUEFGIxAIgACBHAZgAEshRUDgBpCMQYpAGE1BBUYwQGww1UABAAAkhgQAMB4KTGGWPZdJMFZIGr

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:b3dd9d1c382c1c9c
Difference Hash:b24a0e0c0c0c0c0c
Wavelet Hash:0ee6c2c3c7c3c3c3
Color Hash:#79afd2

Other Hashes

Crop Resistant:b24a0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data