Security Scan Report: curaleafnyc.online

Redirected to:
https://curaleafnyc.online/
Submitted: Aug 12, 2026, 4:34:51 AMCompleted: Aug 12, 2026, 4:35:51 AMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is curaleafnyc.online and was registered NaN years ago.

Submitted URL: http://curaleafnyc.online/

Effective URL: https://curaleafnyc.online/Redirected

AI Security Verdict

Low Risk

Confidence: 88%

3
Risk Score

New, unranked site impersonating Curaleaf brand without legitimate forms – high risk of phishing or scam.

Risk Factors
Newly registered domain (<7 days)
Brand impersonation of Curaleaf
Unranked / low‑reputation domain
Safety Factors
Physical address and phone numbers displayed
Business entity mentioned in content
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 7 to 3
Domain age information unavailable

Details

Page Title

Curaleaf | New York

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(57%)

Domain Information

You're looking at domain 'curaleafnyc.online' on the modern generic top-level domain (.online) and has no subdomain. Its registrable label 'curaleafnyc' stretches across 11 characters containing 4 vowels alongside 7 consonants. Tokenizing the label suggests three words: cura, leaf, nyc. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://curaleafnyc.online/

Page Load Overview

1.44s
Total Load Time
6
HTTP Requests
2
Domains
194 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,637 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content57% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
57%
healthcare medical
46%
e-commerce shopping
38%
government public service
36%
corporate business
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6118.139.176.82Singapore, Singapore
AS26496GoDaddy.com, LLC
61--

Page Statistics

6
Requests
2
Unique Domains
195.1 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15BD1733BB4F53037829391A6BAA2571A7E91C01F890A550275BC4B9C1FE3D8ACC1B56E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:BrrQaBOOat7iIW7q3yQUcMdN4ZtuB3w/FX3AMSj:BrMgOOsm7uCLcMvn1w/FX3LA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6628:hJMEIIIAjVtIQElAEMQYyLQAEYbEwioACERvYqIQEzFYKTgKQABEktBAjVACKGI+iQBACAAACgAjAUAECBqhgACegCCZMZBp

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:00000018bd19e700
Perceptual Hash:884d33b3cd8c63b3
Difference Hash:238db1b3b3334d01
Wavelet Hash:d1000019ffffff01
Color Hash:#bf6e40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data