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Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 9, 2026, 10:11:17 AMCompleted: Apr 9, 2026, 10:12:35 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/abhijitb-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 suspicious activity detected; the site appears legitimate.

Safety Factors
Absence of login or payment forms
No credential exfiltration observed
No external malicious links
Standard fonts loaded from Google CDN
Page title and content appear to be a personal academic page
Domain age information unavailable

Details

Page Title

Abhijit — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'syschgapp-nyqu3irl1e.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'syschgapp-nyqu3irl1e'. The core label 'edgeone' covers 7 characters holding 4 vowels versus three consonants. It segments into 2 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/abhijitb-land.html

Page Load Overview

0.71s
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:5,178 chars
Detector Agreement:67%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
AS139341ACE
3142.251.110.95United States
AS15169Google LLC
3142.251.110.94United 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

T14622E977A3E56236945340A2321833EDFA00C865A64A4621F4EF4D5CD2C7ABB8777F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:61/GvRNEc5MSKEMM/c/R/EGfpHJrtjPtX0ZLyB52dtt9:NMc5QEMuIJhPPL2dtt9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10525:iF5CumKaoFIeAdSwyeEGCBn41CIQIAReEmMwkFACRoSECAtUKAqBOcXS0CFyJdA0EwBEoqSxEFuwoH7FNoGtLBSIIRHFBRQ4

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:b3dd9d1c38089c9d
Difference Hash:b24e0e0c0c0c0c0c
Wavelet Hash:0ee6c6c3c7c3c3c2
Color Hash:#71862d

Other Hashes

Crop Resistant:b24e0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data