Security Scan Report: amcor-swansea.kelio.io

Redirected to:
https://amcor-swansea.kelio.io/open/login
Site favicon
Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 14 HTTP transactions. The main domain is kelio.io and was registered 5 years ago.

Submitted URL: https://amcor-swansea.kelio.io

Effective URL:
https://amcor-swansea.kelio.io/open/login
Redirected

The Cisco Umbrella rank of the primary domain is #124,751 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 82%

3
Risk Score

The site hosts a standard login form on an established domain with no malicious indicators; low risk.

Safety Factors (3)
Well‑established domain registration
Form submits to same origin (no cross‑origin exfiltration)
No external malicious links or resources
Domain age information unavailable

Details

Page Title

Kelio

Scan Type

public

Domain Name Analysis

The domain name 'amcor-swansea.kelio.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'amcor-swansea'. The core label 'kelio' covers 5 characters split between three vowels and two consonants. It segments into two words: ke, lio. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://amcor-swansea.kelio.io

Page Load Overview

1.17s
Total Load Time
161 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Text Length:166 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical38% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
38%
technology software
36%
finance banking
33%
healthcare medical
33%
cryptocurrency blockchain
28%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1484.239.81.6France
AS34177Celeste SAS
141--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CCB1E8438F8D9C2A420251A4F1179B9C6C3DC0B29603CC84BBBE1997FBD7F95C9672A5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:NYyCSjkGi44DIXfkYYgQbUG56EieXllIvvIO2h2r2au2P2BKI:VVjkGi44+1E8eDIvvIOCqFukuKI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5418:yYgAwAwBHCCQECJgIAQydQRUAYAylQiBoKEggFEIkgCkAAAZhGQBCgIJAAUE4ADAEmBE6CTiFKIYBQAJAhhAIKFEgMIAJMYI

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:1cffdf9e7e0c0800
Perceptual Hash:95bc6203657c7ea1
Difference Hash:f0b83032dc78f0c8
Wavelet Hash:1cffde9e7e1c0800
Color Hash:#86742d

Scan History

Scan history not available

Unable to load historical scan data