Security Scan Report: radial.logiwa.io

Redirected to:
https://radial.logiwa.io/en/public/signin
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Submitted: May 14, 2026, 12:12:24 AMCompleted: May 14, 2026, 12:14:40 AMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 13 domains to perform 42 HTTP transactions. The main domain is radial.logiwa.io and was registered NaN years ago.

Submitted URL: https://radial.logiwa.io

Effective URL: https://radial.logiwa.io/en/public/signinRedirected

The Cisco Umbrella rank of the primary domain is #380,864 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The site appears legitimate with low risk; no malicious indicators were found.

Risk Factors
Low Cisco Umbrella ranking (380,864) for a brand‑related domain
Safety Factors
Brand name matches the domain (radial.logiwa.io)
No login or payment forms present
No malicious IoC or YARA detections
Domain age > 365 days reduces suspicion
Cross‑origin requests are absent and no credential exfiltration observed
Domain age information unavailable

Details

Page Title

Signin - Logiwa

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(89%)

Domain Information

You're looking at domain 'radial.logiwa.io' on the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'radial'. Count 6 characters in 'logiwa' containing three vowels alongside three consonants. Word splitting yields two words: log, iwa. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://radial.logiwa.io

Page Load Overview

6.59s
Total Load Time
53
HTTP Requests
20
Domains
992 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:225 chars
Detector Agreement:67%

Website Classification

Primary Category

e-commerce shopping89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
89%
documentation technical
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9192.178.183.95United States
AS15169Google LLC
413.58.40.237United States
AS16509Amazon.com, Inc.
418.66.102.51United States
AS16509Amazon.com, Inc.
4142.251.110.94United States
AS15169Google LLC
415.197.78.241United States
AS16509Amazon.com, Inc.
4162.247.243.39United States
AS54113Fastly, Inc.
4142.251.157.119United States
AS15169Google LLC
4142.251.13.95United States
AS15169Google LLC
4142.250.154.95United States
AS15169Google LLC
4142.250.154.97United States
AS15169Google LLC
5312--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17824C615FA52316EB5EBC772A0F0B7962D1A5443E56FC97BE26472AC83CE0970233B14

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:NX3YcRlmIA5k6t/HjYrYWhbkfu17bdX0sLTGQcJOU:NXocRlVdX0sQQU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:229678:mJwC7DiiCYScEAcgIAyA6gJOECAB1fgY0AkNQHSiDUABtQKnfgaDDcDYZwQKSJdKECiSPADEQzExBZhxBBsIMCguSgESANQV

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#6caae0

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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