Security Scan Report: flying-rose-w3x19pdufp-5nmgv117rt.edgeone.app

Submitted: Apr 16, 2026, 3:53:04 AMCompleted: Apr 16, 2026, 3:54:11 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is flying-rose-w3x19pdufp-5nmgv117rt.edgeone.app and was registered NaN years ago.

Submitted URL: https://flying-rose-w3x19pdufp-5nmgv117rt.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site hosts a login form on a newly created edgeone.app subdomain with low reputation; moderate risk of credential phishing.

Risk Factors
Unknown subdomain age
Credential collection form on a newly created subdomain
Low domain ranking
Safety Factors
No Indicators of Compromise matches
No JavaScript malware YARA matches
No Suricata IDS alerts
No cross‑origin credential exfiltration detected
Domain age information unavailable

Details

Page Title

Next Toppers - Aarambh Batch 2026-27

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(30%)

Domain Information

Domain 'flying-rose-w3x19pdufp-5nmgv117rt.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'flying-rose-w3x19pdufp-5nmgv117rt'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Word splitting yields 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://flying-rose-w3x19pdufp-5nmgv117rt.edgeone.app/

Page Load Overview

1.20s
Total Load Time
10
HTTP Requests
2
Domains
643 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:941 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning30% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
30%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5185.15.59.240United States
AS14907Wikimedia Foundation Inc.
543.152.26.58Singapore
102--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C0F10EA1A4F8203742A2909079E16B2B7ED2E517DA4F0A0036FC6BC55FE7D47CD9315E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Tt2bR/oRyDIvNTALJzxLI1w5o0jHy9hVdQ0Hu8sI8c1c/B6oj:ZKS0DIvxyzC4o0jHghVd68sI8c1Ij

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7893:CAAEwAAAWXYcsGgcg8ICQEImhUHCYBF5SULEhAEgmJGHYAmGgAoiQgowGhmSYCyHRF5pIAlDhDGACJgDALJGOGDRLAKHBQCE

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:0000181818180000
Perceptual Hash:cc663399cc663699
Difference Hash:100c32b2b2320c10
Wavelet Hash:f0f0e4fcfce4c0c0
Color Hash:#7b40bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data