ScanMalware.com

Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 9, 2026, 11:10:02 PMCompleted: Apr 9, 2026, 11:11:20 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/annp-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: 70%

3
Risk Score

No malicious activity detected; subdomain is new and low‑ranked but contains no threats.

Risk Factors
Subdomain on hosting platform with unknown creation date (moderate suspicion)
Low ranking in Cisco Umbrella (indicates low reputation)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Only standard external resources (Google Fonts) loaded
Domain age information unavailable

Details

Page Title

Ann — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(42%)

Domain Information

The domain 'syschgapp-nyqu3irl1e.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'syschgapp-nyqu3irl1e'. The second-level label 'edgeone' is 7 characters long with four vowels and 3 consonants. Tokenizing the label suggests 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/annp-land.html

Page Load Overview

0.44s
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:5,030 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service42% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
42%
documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
AS139341ACE
3192.178.183.94United States
AS15169Google LLC
3142.251.127.95United 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

T18422E8B7B3B46236946340A2321833EDBA00C865654B4661F4DB8C5CD2D7ABB8777F88

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6d/GvRNEc5MSKhxgTMM/c/R/EGfAnrtSLyB52dtt7:tMc5QhxgTMu3n1L2dtt7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10375:InxgATRwsVYVNT46TwOAxQGAoCB3AqCQKBHEBBgAtIQeHKFpIABY5BCkwCoBASBCgO0EABA4Akn4RAIIgOSmKmp89pIEBIuD

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:b3dd9d1c382c1c8d
Difference Hash:b24a0e0c0c0c0c0c
Wavelet Hash:0ee6c6c3c7c3c3c2
Color Hash:#934a1f

Other Hashes

Crop Resistant:b24a0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data