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Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 9, 2026, 4:20:13 PMCompleted: Apr 9, 2026, 4:21:32 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/aijenp-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

The site contains no malicious indicators, forms, or brand impersonation; it appears legitimate.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware or suspicious scripts
Subdomain on edgeone.app but content is benign
No brand impersonation or phishing language
Domain age information unavailable

Details

Page Title

Ai-jen — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(30%)

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 three consonants. Breaking it apart gives two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.74s
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:5,037 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service30% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
AS139341ACE
3142.250.154.94United States
AS15169Google LLC
3142.251.110.95United 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

T1AB22D777B3A5623694634062311833DDEA00C8B1968B4222B5DF9D5CD6C3ABB8B77F4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6m/GvRNEc5MSKL6tuMM/c/R/EGfpLJPztPtX0ZLyB52dttU:AMc5Q2uMuoJBPPL2dttU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10386:QDNAfXUIeD4lCUJaGODIYkakmQEAQjYoaRcIAwhZYIUUAhBBhgCERCDWaCGJAggQiAgOQebBDwBGIv7gAPZtWhKEtLTEE9UM

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:#3a4978

Other Hashes

Crop Resistant:b24e0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data