Security Scan Report: couriersplease.addliia.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 addliia.com and was registered 4 days ago.

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

AI Security Verdict

High Risk

Confidence: 75%

8
Risk Score

CouriersPlease brand used as a subdomain of a day-old, unrelated domain — a textbook delivery-phishing hostname. Real content hidden behind a bot wall. Avoid; do not enter any details.

Risk Factors (4)
Impersonation of the CouriersPlease brand on a non-official domain via subdomain naming
Domain registered within the last day
Domain unranked / no reputation
Real page content concealed behind a bot-protection challenge, preventing verification of forms or payloads
Domain age information unavailable

Details

Page Title

Verify you are human

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'couriersplease.addliia.com' is registered, featuring subdomain 'couriersplease'. Its registrable label 'addliia' stretches across 7 characters containing four vowels alongside three consonants. Segmentation suggests 3 words: add, lii, a. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.68s
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 software62% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
62%
government public service
30%
adult content
30%
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

T145F1426B67B3116A7C17A4797BE71B4636A4C403C11AC9A87EDC538DCF896E1DC8138C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nhGicWJc8mk/QZMLFrWcXBrxjCfn81dV8O+37oYdUN47Rx5UQFGXRUYlYksPz:hpc8V4ZgFxRVE81EOcgWx5jgqYlYksb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7857:BlV2i0OMQBnYIAIJUA4iSAokABFAjnMJAxQorEJBwaQUwPEFAIgIACFQ0FCJ8qKBygEgasSpKQiq7QanCIMw4EkEECEcVJgU

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:#931f3c

Other Hashes

Crop Resistant:0000245252240000

Scan History

Scan history not available

Unable to load historical scan data