Security Scan Report: backload-tn6iuc03kr.edgeone.app

Submitted: Apr 23, 2026, 2:21:09 PMCompleted: Apr 23, 2026, 2:22:34 PMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 1 HTTP transaction. The main domain is backload-tn6iuc03kr.edgeone.app and was registered NaN years ago.

Submitted URL: https://backload-tn6iuc03kr.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

The site shows low risk: no malicious activity, no forms, but the subdomain is newly created and low‑ranked, so proceed cautiously.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain ranking in Cisco Umbrella
Potentially new subdomain (creation date not verifiable)
Safety Factors
No login or payment forms
No credential exfiltration observed
No malicious IoC matches
No JavaScript malware detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

Backload Entry — Driver

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(34%)

Domain Information

Domain 'backload-tn6iuc03kr.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'backload-tn6iuc03kr'. The core label 'edgeone' covers 7 characters split between 4 vowels and 3 consonants. Splitting it apart reveals two 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://backload-tn6iuc03kr.edgeone.app/

Page Load Overview

0.62s
Total Load Time
10
HTTP Requests
4
Domains
161 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:481 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service34% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
34%
documentation technical
32%
download file sharing
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.110.94United States
AS15169Google LLC
2192.178.183.94United States
AS15169Google LLC
243.152.26.58Singapore
2192.178.183.95United States
AS15169Google LLC
104--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F1D2D73A32B71070685BACA272B65F6F31608503DD42E0217BEC02D48F9ADD5DEB36D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:15I6rdRZt4fYggP9g4C0vZGyEWDQAZ7BVzBFgrb:jvrTeYggP9gt0vZ/EibVtFYb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29740:cKAAAmMBhcpNGQKIOgFBAJwRACoAAhQCO4ANiYSEgZCKOJ2DED4MCQqFrbgSJYE6pEVscUAxA+BAACTGgAiVmwIVUfVCghEJ

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:00feffffffffffff
Perceptual Hash:9d62223e2e332e3e
Difference Hash:3f32323232323233
Wavelet Hash:00f8f8d89a9a1f1f
Color Hash:#7bbf40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data