Security Scan Report: couriersplease.addllt.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 addllt.com and was registered 2 weeks ago.

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

AI Security Verdict

High Risk

Confidence: 72%

8
Risk Score

CouriersPlease brand name used as a subdomain of a 1-day-old, unranked unrelated domain, with the real page hidden behind a bot challenge. Consistent with brand-abuse/phishing infrastructure — avoid.

Risk Factors (4)
Deceptive hostname: third-party brand name used as a subdomain of an unrelated domain (possible brand impersonation)
Domain registered 1 day ago on a throwaway-looking name
Unranked domain with no reputation history
Real page content hidden behind a bot challenge, preventing normal verification
Domain age information unavailable

Details

Page Title

Verify you are human

Scan Type

public

Domain Name Analysis

The domain 'couriersplease.addllt.com' uses the commercial generic top-level domain (.com) and includes subdomain 'couriersplease'. Its registrable label 'addllt' stretches across 6 characters containing one vowel alongside 5 consonants. Breaking it apart gives three words: add, ll, t. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.97s
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 software60% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
60%
government public service
32%
adult content
31%
documentation technical
25%

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

T177F1526B67F3116A7C17A0797BE71A4636A4C403C11AC9A47EDC538DCF896E1DC8138C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nhGicWJc8mk/QZMLFrWcXBrxjCfn81dV8O+37oYdUN47Rx5UQFGXRUYlmjPz:hpc8V4ZgFxRVE81EOcgWx5jgqYlqb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7857:BlV2i0OMQBnYJAIJUA4iSAokABFAjnMJAxQorEJBwaQUwLEFAIgIACFQ0FCJ8qKBygEgSsSpKQiq7QanCIMw4EkEEAMcVJgU

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:#1f5393

Other Hashes

Crop Resistant:0000245252240000

Scan History

Scan history not available

Unable to load historical scan data