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Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 10, 2026, 1:20:21 PMCompleted: Apr 10, 2026, 1:21:39 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/alanj-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; site appears benign.

Safety Factors
HTTPS connection
Hosted on reputable platform (edgeone.app)
No credential or payment collection fields
No external malicious links
Domain age information unavailable

Details

Page Title

Alan — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(44%)

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 2 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/alanj-land.html

Page Load Overview

0.75s
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:5,004 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service44% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
44%
documentation technical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.250.154.95United States
AS15169Google LLC
3192.178.183.94United 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

T16622E877A3A16226901344A2315C73DEEA00C875968B4622F4EF5D5CD2C79BB8777F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6S/GvRNEc5MSKr7tXMM/c/R/EGf0kaaPtX0ZLyB52dttJ:gMc5QrRXMurkaaPPL2dttJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10355:ACzaYAIogICIeCEYADHgDxVQECIYuvCDIIjj00BAMMTOOutgSVRikVj44HxKYQAkMNkIKTHhOEDYlAFEUgARALJScQBCwBOI

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:#6ca4e0

Other Hashes

Crop Resistant:b24e0e0c0c0c0c0c

Scan History

Scan history not available

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