Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 9, 2026, 9:56:08 PMCompleted: Apr 9, 2026, 9:57:26 PMpubliccompleted
Loading additional data...

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/arifn-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: 94%

0
Risk Score

No malicious activity detected; the page appears benign.

Safety Factors
Absence of credential or payment collection fields
No malicious Indicators of Compromise
Low JavaScript obfuscation (normal minification)
Standard hosting platform (edgeone.app) without known abuse
No cross‑origin credential exfiltration observed
Domain age information unavailable

Details

Page Title

Arif — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(44%)

Domain Information

Domain 'syschgapp-nyqu3irl1e.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'syschgapp-nyqu3irl1e'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. Word splitting yields 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/arifn-land.html

Page Load Overview

0.66s
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:5,163 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical44% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.13.94United States
AS15169Google LLC
3192.178.183.95United States
AS15169Google LLC
343.152.26.58Singapore
113--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13C22D777A3A56236945340A1321833EDFA00C866968A4621F4DF4D5CE6C7ABBC777F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6w/GvRNEc5MSKCpteMM/c/R/EGfuxtjPtX0AkLyB52dtt4:yMc5QCpIMuh7PpJL2dtt4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10510:AgUQZGcsCJig8QVICBHAT4cAFrpa2OKdABIjUAExUMSHOmpFSRECwACw5vhKWQkYMNoKIGSxNACKMIjEUBAwUPMbkYBGgNeM

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:b3dd9d1c380c1c9d
Difference Hash:b24e0e0c0c0c0c0c
Wavelet Hash:0ee6c2c3c7c3c3c3
Color Hash:#862d53

Other Hashes

Crop Resistant:b24e0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data