Security Scan Report: couriersplease.addliaq.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 addliaq.com and was registered 1 day ago.

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

AI Security Verdict

High Risk

Confidence: 76%

8
Risk Score

CouriersPlease brand name used on a day-old, unrelated domain behind a bot wall — a strong delivery-phishing pattern; do not enter any details.

Risk Factors (4)
Brand impersonation of CouriersPlease in the subdomain of an unrelated domain
Domain registered within the last day
No established reputation for the hosting domain
Page content hidden behind a bot-protection challenge, preventing verification of the site's actual purpose
Domain age information unavailable

Details

Page Title

Verify you are human

Scan Type

public

Domain Name Analysis

Domain 'couriersplease.addliaq.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'couriersplease'. Count 7 characters in 'addliaq' containing three vowels alongside four consonants. Segmentation suggests 3 words: add, lia, q. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.04s
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%
adult content
33%
government public service
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

T11BF1426B67B3116A7C17A0797BE71A4636A4C403C11AC9A87EDC538DCF896E1DC8238C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nhGicWJc8mk/QZMLFrWcXBrxjCfn81dV8O+37oYdUN47Rx5UQFGXRUYlQPz:hpc8V4ZgFxRVE81EOcgWx5jgqYlQb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7857:BlV2i0OMQBnYIAIJUA4iSAokABFAjnMJAxQorEJBwaQUwLEFAIgIACFQ0FCJ+qKBygEgSsSpKQiq7QanCIMw4EkEEAEcVJgU

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:#86492d

Other Hashes

Crop Resistant:0000245252240000

Scan History

Scan history not available

Unable to load historical scan data