Security Scan Report: couriersplease.addliio.com

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is addliio.com and was registered 5 days ago.

Submitted URL: https://couriersplease.addliio.com/

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

Brand-named subdomain (CouriersPlease) on a 4-day-old unrelated domain, hidden behind a bot wall; content unverifiable. Deceptive hostname plus critical domain youth warrants avoiding interaction.

Risk Factors (4)
Deceptive subdomain impersonating the CouriersPlease brand on an unrelated domain
Domain only 4 days old
No domain reputation (not in Umbrella top 1M)
Content hidden behind a bot-protection challenge, preventing verification of purpose or data collection
Domain age information unavailable

Details

Page Title

Verify you are human

Scan Type

public

Domain Name Analysis

The domain name 'couriersplease.addliio.com' uses the commercial generic top-level domain (.com), featuring subdomain 'couriersplease'. Its registrable label 'addliio' stretches across 7 characters containing four vowels alongside 3 consonants. It segments into 3 words: add, li, io. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://couriersplease.addliio.com/

Page Load Overview

1.65s
Total Load Time
14 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:353 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software61% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
61%
government public service
33%
adult content
31%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
547.79.39.190Tokyo, Tokyo, Japan
AS45102Alibaba (US) Technology Co., Ltd.
51--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T162F1526B67F3116A7C17A0797BE71A4636A4C443C11AC9A47EDC538DCF896E1DC8138C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nhGicWJc8mk/QZMLFrWcXBrxjCfn81dV8O+37oYdUN47Rx5UQFGXRUYl2Pz:hpc8V4ZgFxRVE81EOcgWx5jgqYl2b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7857:BlV2i0PMQBnYIAIJUA4iSAokABFAjnMJAxQorEJBwaQUwLEFAIgIACFQ0FCJ8qKBygEgSsSpKQiq7QanyIMw4EkEEAEcVJgU

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:ffffffebebffffff
Perceptual Hash:e9989665699a9665
Difference Hash:0000245252240000
Wavelet Hash:0303030bcbf3f3f3
Color Hash:#78ac53

Other Hashes

Crop Resistant:0000245252240000

Scan History

Scan history not available

Unable to load historical scan data